Senior Analyst, Predictive Modeling & Data Science - BMO Financial Group - Toronto, ON   
Lev. The Advanced Analytics & Journey Science group partners with internal Personal and Commercial Banking Canada partners, and various lines of business across...
From BMO Financial Group - Sat, 24 Jun 2017 00:46:45 GMT - View all Toronto, ON jobs
          Java Developer (m/w) - NorCom Information Technology - Sindh   
Deine Aufgaben › Du bist Teil unseres agilen Teams von Entwicklern, Data Scientists und Consultants und arbeitest mit ihnen an innovativsten Projekten im Big
From NorCom Information Technology - Sat, 17 Jun 2017 07:31:38 GMT - View all Sindh jobs
          Data Scientist (m/w) - NorCom Information Technology - Sindh   
Deine Aufgaben › Du berätst unsere Kunden zum Einsatz von Big Data Technologien und revolutionierst ihre Daten-Welt, indem Du Velocity – Variety - Value
From NorCom Information Technology - Sat, 17 Jun 2017 07:31:37 GMT - View all Sindh jobs
          Senior Analyst, Predictive Modeling & Data Science - BMO Financial Group - Toronto, ON   
Ch. The Advanced Analytics & Journey Science group partners with internal Personal and Commercial Banking Canada partners, and various lines of business across...
From BMO Financial Group - Sat, 24 Jun 2017 00:46:45 GMT - View all Toronto, ON jobs
          EUDAT data management summer school   

3 - 7 July 2017

From 3-7 July 2017, EUDAT is organising a Summer School to introduce early-career researchers to the principles and tools needed for careers in data science and data management. The week-long training course will be set in the stunning landscapes of Heraklion, Crete, and kindly hosted by FORTH.

Read more


          Intermediate Software Developer - Synopsys - Kanata, ON   
Experience in modern classification algorithms and modern Data Science languages and libraries (R language and/or Pandas in Python)....
From Synopsys - Tue, 28 Feb 2017 22:34:18 GMT - View all Kanata, ON jobs
          Data Scientist - Keyhole.co - Toronto, ON   
*Company Description: * Today, Keyhole is the #1 company worldwide for Hashtag Analytics. (Not just corporate hubris, try a google search.) This leadership
From Indeed - Fri, 17 Mar 2017 14:01:58 GMT - View all Toronto, ON jobs
          Exec Dir, Data Delivery - USA-NJ-Princeton   
Dow Jones & Co.Requisition ID 2017-29866Job Locations USA-NJ-PRINCETONJob Function Data/ContentBusiness Area DATA STRATEGYJob Area1 Research & Data ScienceJob Area2 ..Job Description:Position Summary ...
          Women’s Health and Yelp Discover the “Wellthiest” Cities in America   

Ever wondered if you live in a health and wellness hub? Women’s Health magazine paired up with Yelp’s data science team, spending six months researching hundreds of zip codes across the United States to discover the “Wellthiest” cities in America. To quote Women’s Health, “well-th” means that these chosen cities are the “healthiest, happiest, outdoors-iest,... Read more

The post Women’s Health and Yelp Discover the “Wellthiest” Cities in America appeared first on Yelp.


          Data Science Economy: Kako izvući najbolje iz podataka i razumjeti što nam govore?   

Jeste li već prihvatili tehnologiju kao nužnost? Pametni telefoni i nisu toliko pametni ako nemaju pristup podacima i servisima koji se nalaze u "oblaku". Probajte na trenutak isključiti svoju mobilnu ili WiFI vezu na telefonu - vrlo je vjerojatno da vam većina aplikacija neće raditi - naime, te aplikacije su samo veza s inteligencijom koja se nalazi negdje daleko od vas, na poslužiteljima velikih organizacija.

Post Data Science Economy: Kako izvući najbolje iz podataka i razumjeti što nam govore? je prvi puta viđen na Netokracija.


          Kako The Economist koristi ‘big data’, saznaj na konferenciji u Zagrebu   

Kako monetizirati podatke, stvarati poslovnu vrijednost iz nestrukturiranih podataka i razumjeti sadržaj kroz podatke, tema je konferencije Data Science Economy koja će se održati u srijedu, 28. lipnja. Među govornicima koji dolaze u Zagreb su Steve Lok iz The Economista te Dmitry Turchyn iz Microsofta.

Post Kako The Economist koristi ‘big data’, saznaj na konferenciji u Zagrebu je prvi puta viđen na Netokracija.


          Extracting Data from Open Source Communities   
On Sunday at FOSDEM, I have a 5 minute lightning talk about extracting data from open source communities in the HPC, Big Data, Data Science devroom (slides). Open source communities are filled with huge amounts of data just waiting to be analyzed. Getting this data into a format that can be easily used for analysis … Continue reading Extracting Data from Open Source Communities
          Data Scientist - Senior Consultant - Clarity Insights - United States   
Candidates must possess excellent SQL Skills working with RDBMS's such as Oracle, DB2, Redshift, Vertica, Greenplum, or Teradata....
From Clarity Insights - Mon, 17 Apr 2017 21:47:31 GMT - View all United States jobs
          Data Scientist - Principal - Clarity Insights - United States   
Prefer candidates with strong SQL Skills working with RDBMS's such as Oracle, DB2, Greenplum, Redshift or Teradata. Do YOU have a passion for working with Data?...
From Clarity Insights - Fri, 24 Mar 2017 10:04:37 GMT - View all United States jobs
           Big Data : In Election And In Business Creates Big Impact   

The US Election results and the process have created worldwide impact. Not only it was noticed for electing someone for arguably the most powerful office in the world, it brings along with it many innovations and advances. In 2008, when Mr. Obama won the elections for the first time, it was very clear that technology played a substantial role in his assuming office. We saw in 2008, that online world was leveraged in a big way in the campaigns for a very successful outcome,. In the just concluded 2012 election, clearly data, data insights and data centric predictions played a very big role in shaping the election outcome. Lot of deserved kudos went in the direction of Nate Silver for his super accurate predictions of the election results based on data insights. Many people looked at it from different perspectives. Media industry focused on how works like this will in an of itself influence the media coverage of elections and assessment of preference trends in election. Nate is the author of Amazon best-selling book, “The Signal and the Noise: The Art and Science of Prediction“. In the days leading up to the election, he was on every major media show, explaining how a detailed analysis of huge amounts of data, distilled from many different sources, enabled him and his team to predict with a fair degree of confidence and certainty what would happen district by district in the US elections (It’s actually a great reward to see this appearance of Nate Silver, on Stephen Colbert’s story show, reported by the LA Times). Very clearly, he was accurate to the last level of detail, in an election when the swings were noticed by both and in the days close to the election, the “momentum vote ” of the challenger was supposed to be mucking the trends.

A lovely article by John McDermott at AdAge brings out that Silver’s work will help transform the shift the “touch and feel aspects” of reporting to reporting that is anchored in data - facts & statistics. The article quotes ComScore’s Online traffic analyst Andrew Lipsman as saying , “Now that people have seen [data analysis centered political analysis] proven over a couple of cycles, people will be more grounded in the numbers.” Chatter in the online world quoting Bloomberg as the source suggested that , Barack Obama’s site was placing 87 tracking cookies on people’s computers who access the site. Mitt Romney’s site was placing 48 tracking cookies on people’s compute. Tarun Wadhwa reports at Forbes that the power of big data has finally been realized in the US political process:

“Beyond just personal vindication, Silver has proven to the public the power of Big Data in transforming our electoral process. We already rely on statistical models to do everything from flying our airplanes to predicting the weather. This serves as yet another example of computers showing their ability to be better at handling the unknown than loud-talking experts. By winning ‘the nerdiest election in the history of the American Republic,’ Barack Obama has cemented the role of Big Data in every aspect of the campaigning process. His ultimate success came from the work of historic get-out-the-vote efforts dominated by targeted messaging and digital behavioral tracking.” This election has proven that the field of “political data science” is now more than just a concept – it’s a proven, election-winning approach that will continue to revolutionize the way campaigns are run for decades to come. It is common knowledge that the campaign had been heavily leveraging the web platform in very many sophisticated ways. The campaign spectacularly succeeded in integrating political infrastructure with the web infrastructure that they managed to create. A peer-to-peer, bottoms up campaign seemed to be the strategy that finally delivered results. Volunteer participation, feedback synthesis and citizen vote drives were successfully brought out in massive scale hitherto unknown with the web platform. The campaign heavily shaped by the power of social networks and internet energized the youth power in unimaginable ways signifying the triumph of technology power. It’s a treat to watch : Mobile, Social and Big Data coming together and making an impact in this presidential election 2012.

Let’s look at the complexities involved in this exercise : There was a notable shift of demographics in America resulted in the traditional vote bases being less influential (this trend will continue dramatically in the future) – the absolute numbers may not have come down but the proportion in the votable base lowered somewhat –leaving the destiny in the hands of newly emerging swing voter base. Technology played a significant role in doing the rigorous fact checking – imagine during a presidential debate – typical citizens were looking at fact checking analysis in their other screens while watching the debate on the television. Pew research found that many were looking at dual screens while watching the debate. All well, till one looks at the paradox here – as more and more effort is made and money is spent to flood the media with political messages, the impact is significantly less, as people don’t rely on a single news source. Many American homes today are getting to embrace the “four screen” world (TV, laptop, tablet and phone, all use in tandem for everything in our lives) and so the ability to create impact on any promotion is actually becoming tougher and tougher (to create positive impact).

This is observed along with the fact that the U.S is also undergoing a deep structural and institutional change, affecting every walk of the American Life. While the online world is growing, it’s a common citing in the cities and downtowns where one can see established chains closing shops, unable to hold on to competition striking at them from the cyberworld. Trends like this clearly influence the economic role played by different industries, trends in wealth creation, job creation, city growth etc. Younger voters are more clued by default to these changing trends and their impact and so begin to think of their prospects from a different prism compared to older voters, who generally hold conventional views and so this further creates a deeper strata within the society.

Time Magazine has Michael Scherer doing an in-depth assessment on the role big data and data mining played in Obama’s campaign as well. Campaign manager Jim Messina, Scherer writes, “promised a totally different, metric-driven kind of campaign in which politics was the goal but political instincts might not be the means” and employed a massive number of data crunchers to establish an analytics edge to the campaign. The campaign team put together a massive database that pulled information from all areas of the campaign — social media, pollsters, consumer databases, fundraisers, etc. — and merged them into one central location. The current US President’s (Mr.Obama) campaign believed that biggest institutional advantage over its opponent’s campaign was its data and went out of its way to keep the data team away from the glare and made them work in windowless rooms and each of the team members were given codenames. That in and of itself signifies the importance the campaign attached to “Data – Big Data”- that’s!

Scherer adds: “The new megafile didn’t just tell the campaign how to find voters and get their attention; it also allowed the number crunchers to run tests predicting which types of people would be persuaded by certain kinds of appeals.” Scherer’s piece is an astoundingly fascinating look at how data was put to use in a successful presidential campaign. The election results are in a way a big victory for the nerds and big data. Similarly, some time back there was a sensational article on how Target figured a teenage girl was pregnant even before her father could find it. Inside enterprises, there must be big advocates to create frameworks to get to we are big advocates of the “know everything” through the world of data and align the business to succeed.

Large-scale data gathering and analytics are quickly becoming a new frontier of competitive differentiation. While the moves of online business leaders like Amazon.com, Google, and Netflix get noted, many traditional companies are quietly making progress as well. In fact, companies in industries ranging from pharmaceuticals to retailing to telecommunications to insurance have begun moving forward with big data strategies recently. Inside business enterprises, there’s a similar revolution happening – collection of very fine grained data and making them available for analyses in near real time. This helps enterprises learn about the preferences of an individual customer and personalize the offerings for that particular customer /unique customer experience that would make them come back again and again to do more business. Practically speaking, one of the largest transformations that has happened to large enterprises, has involved implementing systems, like ERP, enterprise resource planning; CRM, customer relationship management; or SCM, supply chain management—those large enterprise systems that companies have spent huge swathe of dollars on. These systems typically manage operations extremely well and then set the stage for enterprises to gain business intelligence and learn how they could be managed differently. That’s where Big Data frameworks come in handy and it’s up to business now to seize that opportunity and take advantage of this very fine-grained data that just didn’t exist in similar forms previously. Too few enterprises today fully grasp big data’s potential in their businesses, the data assets and liabilities of those businesses, or the strategic choices they must make to start leveraging big data. By focusing on these issues, enterprises can help their organizations build a data-driven competitive edge, which in this age is clearly a very powerful determinant of success.


          Senior Media Trading Strategist - Ctrl/Shift - Channel, MO   
Existing at the confluence of artificial intelligence, data sciences and programmatic, we are actively shaping the future of marketing....
From Ctrl/Shift - Wed, 19 Apr 2017 11:47:11 GMT - View all Channel, MO jobs
          Data Scientist   

          Data Scientist - McAfee - Santa Clara, CA   
Data Scientist will play a role in helping understand and optimize business performance across McAfee consumer and Mobile business segments....
From McAfee - Tue, 04 Apr 2017 10:07:16 GMT - View all Santa Clara, CA jobs
          Professional-Data Scientist-BIG DATA - Plano, TX   
Overall Purpose: The Data Scientist will be responsible for designing and implementing processes and layouts for complex, large- scale data sets used for modeling, data mining, and research purposes. Key Roles and Responsibilities: This position will work closely with...
          Why data scientist is the most sought after hire in America   
Companies need data scientists more than ever but there are not enough qualified workers to fill the need. ...
          Innovation Fellow - Data Scientist - Manulife Financial - Toronto, ON   
Design and build customized data scrapers. Are you looking for unlimited opportunities to develop and succeed?...
From Manulife Financial - Mon, 10 Apr 2017 22:03:25 GMT - View all Toronto, ON jobs
          Quantitative Manager (Job #6454)   
The successful candidate will be a creative, resourceful and experienced with Agile methods and techniques to implement Scrum; and must be a self-starter and have strong background in statistics, machine learning and big data including information retrieval, natural language processing, algorithm analysis, and real-time distributed computing methods. As a quantitative manager you have personnel management responsibility and can exercise your talents to lead teams of expert data scientists and engineers on multiple assignments and projects in a disciplined and fast paced environment. You must be confident to tackle complex engineering problems, and will be expected to work on design algorithms and codify large-scale statistical models for real time processing based on our analytics architecture.

Advanced Analytics
The Advanced Analytics service area is comprised of professionals that possess competency and experience in the areas of risk management, business and operational targeting processes, computational linguistics, machine learning, knowledge discovery, semantic engineering, probabilistic and statistical data mining. Advanced Analytics professionals use these skills to assess, analyze, and improve the effectiveness and efficiency of targeting methods, operational control processes, offer recommendations to improve operations, and assist clients with enterprise risk and compliance activities.

Requirements
Minimum Qualifications
• Excellent communication skills and ability to understand and communicate business requirements
• Excellent analytical and problem-solving skills
• Strong programming skills and experience in SPSS, SAS, R, Matlab and similar toolset and deep understanding of exploratory data analysis
• Background in statistical techniques, NLP and machine learning, predictive modeling, data mining, statistical inference and classification algorithms
• Develop statistical models and analytical methods to predict, quantify, and forecast multiple business concerns and provide performance reporting capabilities
• Experience in modeling techniques, statistical analysis, propensity score matching, multivariate analysis, logistic regression, time series, survival analysis, decision trees, and neural networks
• BA/BS in Statistics, Mathematics, CS or related technical field, and MS or PhD preferred
• Strong sense of passion, teamwork and responsibility
• Willingness to travel and flexibility to commute to clients in the Washington D.C. metro area as needed
          Data Scientist (Job #6243)   
The Advanced Analytics group is all about focusing on our client?s mission. Individuals in this role are expected to work as a software developer and a quantitative researcher. You will be responsible to implement and promote data driven decision support systems, and create high-impact analytics solutions for our clients. In this role you work on a small team and can switch assignments and projects in a disciplined and fast paced environment. You must be confident to tackle complex problems, and will be expected to work on design algorithms and codify large-scale statistical models for real time processing based on the analytics architecture.

Previous experience working in software engineering and large-scale implementations of statistical methods to build decision support or recommender systems will enable you for this role. You will need to be innovative and entrepreneurial to work within a start-up like environment.

Responsibilities

Work with large and complex data sets to solve difficult and non-routine problems
Develop analytic models and work closely with cross-functional teams and people to integrate solutions
Drive the collection of data and refinement from multiple high-volume data sources
Research methods to improve statistical inferences of variables across models


Job Qualifications

3+ years of relevant work experience
Experience programming with Java, Python and SQL application development
Experience of relational databases and ETL data processing with thorough understanding of data structures, algorithms and design best practices
Experience analyzing complex, high-dimensionality data to perform text mining, NLP techniques and implement information retrieval or recommender systems
Experience with statistical computing tools like R, SAS, and SPSS
Experience working with machine learning and distributed computing tools like Hadoop is preferred
Excellent interpersonal and communication skills
Excellent debugging and testing skills, and likes to quickly learn new technologies
BS in Computer Science, Statistics or equivalent practical experience
Large scale systems (billons of records) design and development with knowledge of UNIX/Linux
Strong sense of passion, teamwork and responsibility
          Google’s Pixel rules the bot world by thinking like an infant   

Google Assistant is the humbly named artificial intelligence agent that lives in Google’s new Pixel phone, and it represents the most powerful accumulation of applied data science in history. Google feeds its various intelligence processes, from Deep Mind to Knowledge Graph to Expander, with exabytes of data from its billions of active users. The data comes […]


          Data Science: Машинное обучение в R   
Курс "Data Science: Машинное обучение в R" предназначен для изучения алгоритмов машинного обучения с практическим применением техник машинного обучения, реализованных в R. Продолжительность: 5 дней.
          Data Science: Анализ данных и визуализация в R   
Курс "Data Science: Анализ данных и визуализация в R" является необходимым для получения практических навыков работы с R и R-Studio. В процессе обучения слушатели узнают, как загружать, сохранять и преобразовывать данные, а также как писать функции, создавать графики и сопоставлять базовые статистические модели с данными. Продолжительность: 5 дней.
          Exec Dir, Data Delivery - USA-NJ-Princeton   
Dow Jones & Co.Requisition ID 2017-29866Job Locations USA-NJ-PRINCETONJob Function Data/ContentBusiness Area DATA STRATEGYJob Area1 Research & Data ScienceJob Area2 ..Job Description:Position Summary ...
          Data Scientist - SME level - Praxis Engineering - Reston, VA   
No red tape. Ability to identify and/or develop business opportunities. Thorough knowledge of Agency business operations and associated processes....
From Praxis Engineering - Fri, 09 Jun 2017 07:13:27 GMT - View all Reston, VA jobs
          Data Scientist - Praxis Engineering - Reston, VA   
No red tape. Utilizing complex mathematical, statistical or other data-driven problem solving analysis to identify significant intelligence issues or trends in...
From Praxis Engineering - Fri, 09 Jun 2017 07:13:27 GMT - View all Reston, VA jobs
          Data Scientist - Mid - Praxis Engineering - Reston, VA   
No red tape. Conducting mathematical, statistical or other data-driven problem solving analysis to identify business operations or intelligence questions by...
From Praxis Engineering - Fri, 09 Jun 2017 07:13:26 GMT - View all Reston, VA jobs
          Sr Data Scientist - Praxis Engineering - Reston, VA   
No red tape. Ability to identify and/or develop business opportunities. Utilizing complex mathematical, statistical or other data-driven problem solving...
From Praxis Engineering - Fri, 09 Jun 2017 07:12:41 GMT - View all Reston, VA jobs
          Data Scientist, Data & Analytics - KPMG LLP - Toronto, ON   
Working at KPMG allows you to gain valuable on-the-job experience while building your professional network and business acumen. Being part of the KPMG Global
From KPMG LLP - Tue, 16 May 2017 14:52:24 GMT - View all Toronto, ON jobs
          Data Scientist (Grant Funded, Time Limited) - Wake Technical Community College - Raleigh, NC   
Project planning and research design; Formulates research questions to address and solve complex institutional challenges....
From Wake Technical Community College - Tue, 20 Jun 2017 18:40:39 GMT - View all Raleigh, NC jobs
          How to Build an In-House Data Science Team From Scratch   
Technology tends to favor teams that have a firm grasp on data and analytics, and you can create one from scratch. At a recent tech conference I noticed two very clear patterns. First, the virtual/augmented reality economy is going to be as big as...
          The Exciting Next Phase of Humane League Labs   

Maximizing the impact of every dollar spent has been at the heart of The Humane League since our founding over ten years ago. A dogged focus on effectiveness and pragmatism defines who we are and how we function in our relentless work to reduce animal suffering.

That's why in 2013 we formed Humane League Labs, a pioneer in the AR movement, to carry out research and direct our work for greater impact. And that's why, today, we're taking this important initiative forward. We are very excited to announce the next phase of Humane League Labs. New and dedicated leadership. New commitments. New research priorities.

Dr. Harish Sethu, an academic researcher and longtime THL board member, will be leading Humane League Labs as its new Director. Dr. Sethu brings a wealth of experience to this volunteer position including a 25+ year history in research, having co-authored more than 70 peer-reviewed articles, and a long-held faculty position at a large private university where he teaches and conducts research in the areas of web security and data science.

Under Dr. Sethu's direction, we have formalized new commitments for Humane League Labs that will direct our priorities, policies and protocols for the research we conduct. We are committing ourselves to fielding important quantitative research based on animal-centric metrics with a statistically sound approach to data gathering and analysis. For the betterment of all animal activists, we are also committing ourselves to a policy of exceptional transparency as we will include the raw data and also the code used for analysis in our release of research study reports.

Our new research priorities will tackle some of the most important and testable approaches used in the farm animal advocacy movement. We will share our research through four categories of reporting, each increasing in their rigor of analysis:

  1. Blog posts to announce or informally explain our work
  2. Exploratory research reports aimed at generating hypotheses
  3. Confirmatory research reports which put pre-declared hypotheses to a rigorous test
  4. Advocacy recommendations which will be reports with the highest quality evidence

To bring the capacity to implement this important work we are expanding our dedicated team at Humane League Labs and are initiating a search for a Research Associate/Manager. We are looking for a creative, resourceful and self-motivated individual to plan, design, conduct, analyze and report on research experiments in farm animal advocacy. This is an exceptional opportunity to conduct substantive research alongside a dynamic and diverse team of committed activists. Please take a look at the details of this position and consider applying or sharing with anyone you know who may have the experience and passion we need in this important role.

We invite everyone dedicated to effectiveness in farm animal advocacy to join us. Follow our initiatives, participate in our research, support our work. Get involved with Humane League Labs and join us in guiding the path forward.


          Data Scientist - Data Insights & Analytics - 99 TAXIS - São Paulo, SP   
Has been worked with big data technologies like Storm, Samza, Hadoop, Presto, Airflow; 99's mission is to make transportation cheaper, faster and more efficient...
De 99 TAXIS - Sat, 17 Jun 2017 08:59:04 GMT - Visualizar todas as empregos: São Paulo, SP
          Data Scientist - Growth - 99 TAXIS - São Paulo, SP   
Has been worked with big data technologies like Storm, Samza, Hadoop, Presto, Airflow; 99's mission is to make transportation cheaper, faster and more efficient...
De 99 TAXIS - Sat, 10 Jun 2017 05:51:08 GMT - Visualizar todas as empregos: São Paulo, SP
          Data Scientist - RA - CSI - 99 TAXIS - São Paulo, SP   
Has been worked with big data technologies like Storm, Samza, Hadoop, Presto, Airflow; 99's mission is to make transportation cheaper, faster and more efficient...
De 99 TAXIS - Sat, 10 Jun 2017 05:51:08 GMT - Visualizar todas as empregos: São Paulo, SP
          Data Scientist - Mkt Place Routing - 99 TAXIS - São Paulo, SP   
Has been worked with big data technologies like Storm, Samza, Hadoop, Presto, Airflow; 99's mission is to make transportation cheaper, faster and more efficient...
De 99 TAXIS - Sat, 10 Jun 2017 05:51:05 GMT - Visualizar todas as empregos: São Paulo, SP
          Introducing: Universal Music On Demand   

Universal Music TV is now Universal Music On Demand – and the changes run a lot deeper than a word or two.

UMOD is essentially a new division of Universal Music UK, created for and around the habits and demands of the modern music fan in the age of streaming.

At a top line level the biggest change is that it will sit at the heart of the company, working with all labels on playlist strategies. Its goals will centre far more on breaking new tracks and artists rather than simply working with catalogue and heritage acts.

The overhaul is being led by Simon Barnabas, who joined UMTV as managing director in April, with the specific remit to think radically. He hasn’t disappointed.

“It did feel like this was a moment in time to reinvent rather than adjust, to bring other skills in from around the company” he says.  “It was a chance to not just update but also unite the whole playlisting and compilation areas of the business.”

There’s no doubt that UMOD will sit at the heart of the company and be integral to its key strategies and drivers.

And that, of course, is down to the unstoppable rise of streaming, a technology and model that has moved curation/compilation/playlisting from the periphery of the business to its very heart, and made it as crucial for a brand new artist as it is to heritage acts.

Barnabas believes its impact has only just begun: “Streaming hasn’t matured yet by any means, it’s only just started. It’s fascinating to be watching it grow, and to grow and evolve with it. As UMOD we’ll be launching more playlists, analysing trends and optimising our marketing. We want to do more with our artists and we want to do more for our artists.”

This Is and Sing Your Heart Out, two of UMOD's most popular brands

As you’d expect, Barnabas is “excited by the wealth of data science and analytics we now have at our fingertips, allowing us to monitor and react to the market pretty much in real time.”

But he also point out that it is important to be guided by it, not ruled by it.

“We’ve got more data than ever before and we should use more data than ever before – but we shouldn’t rely on it. I’m comforted by the fact that decisions can still made in this company based on the fact that someone believes a certain artist is an utter genius.  And I’m comforted by the fact that our analytics team feel exactly the same way. They say here’s the data, use it, it is incredibly valuable, but equally, don’t pull the plug too early on something.”

And talking of old-school, whilst UMOD is very clearly a reaction to the market today and preparing for the market of tomorrow, it also houses the traditional compilation curation business on which UMTV was built over 16 years ago, and which is still doing rather nicely.

Barnabas says: “So far this year we’ve had three gold records and three silver records, for example Sing Your Heart Out 2016 has sold over 230,000 copies already. We’ve sold three million compilation albums this year so far.  There is still a demand for the right concept marketed the right way, and it’s exciting to come up with an idea, bring it to life and then see it take off. We have big plans in that ‘traditional’ sector for Q4, definitely.”


          O'Reilly is closing it's shop   
---Quote--- Things are changing at the O'Reilly online shop—as of today, we are no longer selling individual books and videos via shop.oreilly.com. Of course, we'll continue to publish books and videos on the topics you need to know, like data science, product management, and leadership—and you'll still be able to buy them at Amazon and other retailers. ---End Quote--- http://shop.oreilly.com/ WTF? I will immediately stop using shop.oreilly.com for new books and e-books and boycott them. If somebody want to tell O'Reilly what to think of this decision they can let them know at support@oreilly.com
          Data Scientist   

          Senior NodeJS Backend Engineer - Knock - Georgia   
TRLA, acquired by Zillow for $3.5B), Knock is an online home selling platform that uses data science to price homes accurately, technology to sell them quickly...
From Knock - Sat, 18 Mar 2017 23:14:22 GMT - View all Georgia jobs
          Vice President of Engineering - Knock - California   
TRLA, acquired by Zillow for $3.5B), Knock is an online home selling platform that uses data science to price homes accurately, technology to sell them quickly...
From Knock - Fri, 19 May 2017 16:33:54 GMT - View all California jobs
          Data Scientist - 3M - Maplewood, MN   
This position will work closely with FP&A, Business Group finance teams, Treasury, Tax, Audit and Internal reporting teams to complete high impact projects....
From 3M - Wed, 29 Mar 2017 01:44:52 GMT - View all Maplewood, MN jobs
          Process Data Scientist (Woodbury, MN) - 3M - Woodbury, MN   
Implement relevant and valuable computational algorithms in software that support 3M businesses. Provide strong understanding of internal business segment...
From 3M - Tue, 07 Mar 2017 20:00:10 GMT - View all Woodbury, MN jobs
          Data Scientist, Service Operations - Tesla Motors - Fremont, CA   
Experience with Java, Tableau, Hive, Spark, MongoDB is a plus. We are looking for a Data Scientist for the most progressive vehicle brand in the world....
From Tesla Motors - Fri, 26 May 2017 02:10:40 GMT - View all Fremont, CA jobs
          Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy   

Subtitle

Microsoft Research's Social Media Collective and Harvard University's Berkman Klein Center for Internet & Society welcome author Cathy O'Neil

Teaser

Please join us for a timely discussion of the role of data science in public life. All are welcome at this free event open to the public!

Event Date

Jul 11 2017 12:00pm to Jul 11 2017 12:00pm
Thumbnail Image: 

Tuesday, July 11, 2017 at 12:00 pm
Microsoft Research's Social Media Collective​
New England Research and Development Center
1 Memorial Drive
1st Floor/Horace Mann
Cambridge, MA 02142​

More information and REGISTER HERE
Arrive early for a seat/grab lunch, served at 11:30AM​

Microsoft Research's Social Media Collective and Harvard University's Berkman Klein Center for Internet & Society welcome author Cathy O'Neil to NERD. O'Neil will read from her award-winning book, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2016). The reading will be followed by an informal mixer for MSR, NERD, Garage and BKC interns.

Please join us for a timely discussion of the role of data science in public life. All are welcome at this free event open to the public!

About Cathy O'Neil

Cathy O’Neil earned a Ph.D. in math from Harvard, was a postdoc at the MIT math department, and a professor at Barnard College where she published a number of research papers in arithmetic algebraic geometry. She then switched over to the private sector, working as a quant for the hedge fund D.E. Shaw in the middle of the credit crisis, and then for RiskMetrics, a risk software company that assesses risk for the holdings of hedge funds and banks. She left finance in 2011 and started working as a data scientist in the New York start-up scene, building models that predicted people’s purchases and clicks. She wrote Doing Data Science in 2013 and launched the Lede Program in Data Journalism at Columbia in 2014. She is a regular contributor to Bloomberg View and wrote the book Weapons of Math Destruction: how big data increases inequality and threatens democracy. She recently founded ORCAA, an algorithmic auditing company.

About Microsoft Research's Social Media Collective

Over the last decade, social media has become a vital tool for our engagement with the people who matter to us, the work we do, and with the wider public world. From email to Facebook, mobile phones to Twitter, people now use a vast array of social technologies as part of their everyday lives and practices. Our primary purpose is to provide a rich contextual understanding of the social and cultural dynamics that underpin these social media technologies.

Our research collective brings together social scientists and humanists from anthropology, communication, economics, information, law, media studies, women’s studies, science & technology studies, and sociology. Through a variety of methodological and theoretical lenses, we provide insight into how social media is reconfiguring sociality, labor, ethics, and the public realm. Much of our work centers on emergent Web 2.0 technologies, including Twitter, Facebook, YouTube, etc. but we also look to situate these new forms in the longer history of information and communication.

 


          Data Architect - Data Scientist - JP Morgan Chase - Columbus, OH   
Build the firm’s business metadata repository in partnership with the Chief Data Office. Adopting industry leading technologies to support best-in-class...
From JPMorgan Chase - Wed, 21 Jun 2017 13:42:24 GMT - View all Columbus, OH jobs
          NJIT President‘s Forum and Faculty Research Showcase   

Julian Goldman, MD, will be the keynote speaker for the inaugural President's Forum, a featured event in the Albert Dorman Honors College Colloquium Series. Dr. Goldman, the medical director of biomedical engineering for Partners HealthCare, an anesthesiologist at Massachusetts General Hospital and the director of the multi-institutional Program on Medical Device Interoperability, will give a talk on major initiatives, including technology development, in two key areas – Life Sciences and Engineering and Data Science and Technology.

Tagged: new faculty, faculty research, research showcase, presidents forum



          Healthcare IT startups to watch: Running list of big news   
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Healthcare IT startups to watch in 2016: Running list of big news
Slideshow Description: 

From virtual care platforms to precision medicine, data analytics to interoperability, the healthcare IT landscape is constantly changing thanks to new approaches driven by entrepreneurs making waves in the sector.

 

 

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Mark Nathan, co-found and CEO of Zipari

Health insurance tech startup Zipari, nabbed $7 million in its first round of funding led by Vertical Venture Partners. The company will use the cash to meet the expanding demand for its suite of customer relationship management-centered software as a service for the health insurance industry.

Read the article.

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Google Glass startup Augmedix scores $23 million from McKesson Ventures, others
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The San Francisco company's focus is a smartglass-powered remote scribe tool to assist physicians with charting and documentation. Augmedix co-founders Ian Shakil, left, and Pelu Tran.

Read the most recent article.

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Cybersecurity companyAttackIQ lands $8.8 million in Series A funding
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AttackIQ will use the $8.8 million garnered in its first round of funding to expand its partner, sales and marketing initiatives, and build out its strategic services and engineering teams.

Read the article.

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Telehealth startup Avizia to expand engineering team, market reach with new funding
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Avizia client New York Presbyterian, which has been a leader in video consults and telehealth, participated in this most recent $6 million investment that adds to the $11 million Avizia raised back in July.  As Avizia CEO Mike Baird sees it, telehealth is a proven way for hospitals to close gaps in care and reduce unnecessary ER visits.

Read the article.

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Moxe Health promotes data sharing between payers and providers
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"The rules of healthcare are quickly being re-written, as technology presents an opportunity to facilitate more meaningful interactions between payers and providers," Moxe founder and CEO Dan Wilson says, "We enable workflows that are beneficial to both sides of the equation and focus on delivering patient health insights to providers while reducing administrative excess."

Read the article.

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Welltok grabs $33 million to advance CafeWell population health tool
Slideshow Description: 

Welltok pulled in $33.7 million in a new round of funding and said it plans to use the investment to build out its CafeWell Health Optimization Platform. CaféWell enables population health managers to coach and inspire their clients to get healthier. The enterprise-level platform curates and connects consumers with benefits, resources and rewards, and it provides personalized action plans for each individual.

Read the article.

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RXAnte gets UPMC boost
Slideshow Description: 

UPMC Enterprises, the commercialization arm of UPMC, has purchased all of Millennium Health’s interest in Portland, Maine-based RxAnte. The investment will go toward product development with in-house clinical expertise and accelerating growth. Founded in 2011, RxAnte manages medication use for nearly 7 million people on behalf of health insurers, providers and other stakeholders working to improve safe and effective prescription drug use. Josh Benner wil continue as CEO.

Read the article.

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ReadCoor spins from Harvard after a $23M first round of funding

ReadCoor will commercialize the Wyss Institute’s FISSEQ – fluorescent in situ sequencing – technology. The startup has developed an imaging platformthat provides insight into cancer, infectious diseases, cognitive disorders and more. A team headed by Wyss core faculty member and ReadCoor co-founder George Church, invented and developed the platform.

Read the article.

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Klara lands $3M in funding to further develop its HIPAA-compliant messaging platform for medical teams to centralize all patient-related communication in one place

Klara co-founders Simon Lorenz, left, and Simon Bolz, launched the company in 2014, They describe the technology as a "WhatsApp" for medicine.

Read the article.

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Catalyze, a HITRUST certified cloud provider, has raised $6.5 million in a Series B funding round. "Customers have our team the unique opportunity to solve a multitude of data exchange challenges that fall outside of traditional standards," says Catalyze CEO Travis Good, MD, pictured above.

Read the article.

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Cernostics CEO Mike Hoerres

Oncology diagnostics company Cernostics has pulled in a $5 million round of funding led by UPMC Enterprises, the commercial arm of UPMC. The funding will go toward growing and accelerating a new diagnostic test for people with Barrett’s Esophagus, a condition that can lead to cancer.

Read the article.

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J. Patrick Bewley, CEO of Big Cloud Analytics

The startup’s COVALENCE Analytics Platform is designed to simplify healthcare and help enterprises better manage population health. The Atlanta-based startup, which offers real-time predictive analytics technology for the Internet of Things, has raised $4.5 million in first round fo funding.

Read the story.

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CareSkore co-founders CEO Jaspinder Grewal and Puneet Dhillon Grewal, MD, chief medical  officer

CareSkore, a population health management technology vendor, has raised $4.3 million in its initial round of funding. And former San Francisco 49ers quarterback Joe Montana is part of the team of investors backing the upstart.

Read the story,

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Manoj Saxena, CognitiveScale executive chairman

CognitiveScale revealed a $21.8 million round of financing to advance its industry-specific machine intelligence software. “This funding will accelerate our mission to bring scalable, practical AI to the enterprise,” Saxena said.

Read the story

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Accolade CEO Rajeev Singh

Seattle-based Accolade, an on-demand healthcare concierge offering for employers, health plans and health systems, has raised $71.1 million to ramp up its technology platform. Accolade’s model combines personalized service with clinical support and consumer engagement technologies to uncover inefficient healthcare utilization and its impact on healthcare costs and outcomes. Cost savings range from 5-15 percent, Accolade said.

Read the story

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Redox
Slideshow Description: 

Luke Bonney Niko Skievaski and James Lloyd founded Redox in 2014. The Epic alumni who run Redox are aggressive about interoperability, and they claim it's easier to achieve than it seems. They call it "turnkey interoperability." Most recently Redox has integrated its health apps with Epic, Cerner and eClinicalWorks, among others.

Read full story.

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Aledade founder Farzad Mostashari, MD

Aledade, former ONC chief and physician Farzad Mostashari’s accountable care organization startup, is 'steady as she goes' as it enters its third year.

Read full story.

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Omicia CEO Matt Tindall
Slideshow Description: 

Omicia will expand HIPAA-compliant, cloud-enabled platform for research, population health, clinical trials. The startup landed $23 million in its Series B financing round, completed on June 8. UPMC led the funding.

Read the full story.

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Tom Dorsett, CEO of ePatientFinder
Slideshow Description: 

ePatientFinder announced on June 9, it had raised $8.2 million tto build out its Clinical Trial Exchange platform. The EHR agnostic cloud-based service enables doctors to locate new treatment options, preventative procedures and clinical trials for their patients.

Read full story.

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Elad Benjamin, CEO of Zebra
Slideshow Description: 

Intermountain led a $12 million funding round that Zebra said it will use to build out its analytics engine with machine learning algorithms for diagnosing imaging scans.

Read full story

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Practice Fusion veterans announce IBeat wearable-as-a-service
Slideshow Description: 

The forthcoming cloud service will monitor a user’s heart activity around the clock, according to CEO Ryan Howard.

Read full story.

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Apixio CEO Darren Schulte raises $19 million venture capital to advance cognitive computing
Slideshow Description: 

The data science company said it will use the investment money to develop applications for care and quality measurement. 

Read full story.

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Decisio Health introduces clinical platform, draws $4.5M in Series A round
Slideshow Description: 

Decisio Health, a startup that aims to help acute-care provider organizations continually improve their clinical processes, launched the Decisio Health Clinical Intelligence Platform on May 17 and also announced $4.5M in Series A funding. The new platform is based on  technology developed at the University of Texas Health Center. Read full story.

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Andrew Kress, left, cofounder and CEO of HealthVerity and Andrew Goldberg co-founder and COO

HealthVerity’s technology enables customers to rapidly discover, license and assemble patient data from a wide range of traditional and emerging healthcare data sources that can aid pharmaceutical, hospital and payer organizations seeking to enhance patient insights from existing and new data sources. The startup has landed $7.1 million in its first round of funding.

Read the article.

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Ruben Amarasingham, MD

Pieces Technologies landed $21.6 million in its first round of funding in March 2016. The investment will help the fledgling company advance its cloud-based population health management tools, said CEO and founder Ruben Amarasingham, MD. Pieces Tech’s software platform, incubated at the Parkland Center for Clinical Innovation, provides integrated monitoring, prediction, workflow optimization and organizational learning services specifically for hospitals and health systems.

Read the article.

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Alejandro Foung, Lantern co-founder and CEO

Lantern, a San Francisco-based startup, with 17 employees, is working with UPMC Enterprises, the commercialization arm of the Pittsburgh-based healthcare giant, to further develop the company’s online mental health wellness services and products.

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Health Catalyst CEO Dan Burton

Health Catalyst has raised $70 million in its fifth round of funding, bringing the total of venture capital it has attracted to $235 million.

Norwest Venture Partners, the lead investor in three previous rounds of funding, and UPMC Enterprises, the commercialization arm of UPMC, co-led the round. UPMC is also a Health Catalyst customer and technology development partner.

Read the story

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Zipnosis CEO Jon Pearce

Zipnosis, a startup that provides virtual care platforms, has raised $17 million in its Series A financing round to speed product development. Zipnosis describes its offering as a platform that empowers health systems to launch proprietary branded virtual care service lines staffed with their own clinicians. The goal is to maximize the clinician's time and ensure clinically appropriate patient outcomes.

Read the story

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Nat Turner and Zach Weinberg, co-founders of Flatiron Health

In recent months New York-based Flatiron Health opened an office in San Francisco, completed a second round of funding – $130 million – in May 2014, and doubled down on using data to work on eradicating cancer. The company also joined forces with another oncology company to work on the next generation of cloud-based, electronic health record, data analytics and decision support software for cancer care providers around the world.

Read the story

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Patrick Soon-Shiong, founder and CEO of NantHealth

Patrick Soon-Shiong, businessman, surgeon, scientist and founder of health IT company NantHealth announced back in July 2015 that he planned to take the company public by the end of the year. "We feel we have one or two transactions to accomplish, then we will initiate the public offering that we anticipate will happen probably within this year," Soon-Shiong, was quoted in the Los Angeles Times. The health IT company aims to solve the interoperability crisis and also promises to take genomics and clinical decision support to a new level. We’re still watching for an IPO in 2016.

Read the story

Teaser: 

From virtual care platforms to precision medicine, data analytics to interoperability, the healthcare IT landscape is constantly changing thanks to new approaches driven by entrepreneurs making waves in the sector.

The following gallery highlights some of those emerging companies and people who made news in 2016. Check back often as we will be updating the collection regularly.

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Health IT startups watch
Custom OAS pagetag: 
Subheader: 
From virtual care platforms to precision medicine, data analytics to interoperability, the healthcare IT landscape is constantly changing thanks to new approaches driven by entrepreneurs making waves in the sector.
Specific Terms: 

          What is the Funder’s Role in Supporting Good Measurement?   

Meet  Bib Filbon and Jeff Bladt who have the job title, “Data Scientist,” and are on staff at DoSomething.Org.     They work in partnership with DoSomething’s program staff to collect, analyze, and make sense of data to improve impact of DoSomething’s programs. … Read More


          Scientist Uses Algorithms To Plan Ultimate USA Road Trip   

Dr. Randy Olson is a Senior Data Scientist at the University of Pennsylvania and when he’s not putting his skills to use furthering the progression of biomedical science he likes to use them for slightly more offbeat projects. Not long ago, Randy used his knowledge of algorithms to create a guaranteed way of finding Waldo […]

The post Scientist Uses Algorithms To Plan Ultimate USA Road Trip appeared first on How Trend News.


          Sensors, motion tracking, and data science: the quest to train MD’s like elite athletes   
Sensors, motion tracking, and data science: the quest to train MD’s like elite athletes
Presented by: Carla M. Pugh, M.D., Ph.D., F.A.C.S., Susan Behrens Professor of Surgical Education and Vice-Chair of Education and Patient Safety, Department of Surgery at University of Wisconsin-Madison
Category: WALS - Wednesday Afternoon Lectures
Aired date: 03/08/2017
          Data Scientist - Senior Consultant - Clarity Insights - United States   
Candidates must possess excellent SQL Skills working with RDBMS's such as Oracle, DB2, Redshift, Vertica, Greenplum, or Teradata....
From Clarity Insights - Mon, 17 Apr 2017 21:47:31 GMT - View all United States jobs
          Data Scientist - Principal - Clarity Insights - United States   
Prefer candidates with strong SQL Skills working with RDBMS's such as Oracle, DB2, Greenplum, Redshift or Teradata. Do YOU have a passion for working with Data?...
From Clarity Insights - Fri, 24 Mar 2017 10:04:37 GMT - View all United States jobs
          Indian business intelligence software revenue forecast to reach $245 million in 2017, says Gartner   
Gartner said the forecast includes revenue for BI platforms, data science platforms, analytic applications and corporate performance management suites.
          Data Scientist - McAfee - Santa Clara, CA   
Data Scientist will play a role in helping understand and optimize business performance across McAfee consumer and Mobile business segments....
From McAfee - Tue, 04 Apr 2017 10:07:16 GMT - View all Santa Clara, CA jobs
          How to Build an In-House Data Science Team From Scratch   
Technology tends to favor teams that have a firm grasp on data and analytics, and you can create one from scratch. At a recent tech conference I noticed two very clear patterns. First, the virtual/augmented reality economy is going to be as big as...
          Data Scientist (TS/SCI Clearance REQUIRED)   

          Data Scientist (TS/SCI Clearance REQUIRED)   

          Big Data & Data Science Enablement Lead, Enterprise Analytics Platform (M/F) Job   
. . Requisition ID: 151289 . Work Area: Information Technology . Expected Travel: 0 - 10% . Career Status: Professional . Employment Type: Regular Full Time . COMPANY DESCRIPTION . As market leader in enterprise application software, SAP helps...
          Data Analyst / Data Science - Segmint Inc. - Akron, OH   
Bachelor’s degree in statistics, economics, mathematics or related field, or relevant prior job experience. Passion for empirical research and answering hard...
From Segmint Inc. - Tue, 13 Jun 2017 20:56:59 GMT - View all Akron, OH jobs
          Data Scientist - Machine Learning, Python   

          DATA SCIENCE SOFTWARE DEVELOPER - IRELAND - Overstock.com - Ireland, WV   
Design, develop, and maintain data mining jobs in Java, Scala, Python, Hadoop, Spark, R, SQL, and/or other query language....
From Overstock.com - Fri, 23 Jun 2017 19:34:32 GMT - View all Ireland, WV jobs
          Clinical Research Data Scientist - Belgium / 85 to 89 EUR PerHour   
Salary: Competitive (GBP)
Benefits:
Location: Belgium, Beerse, Antwerp, Belgium
Company: Elevate Direct Ltd
Posted: 28 June 2017 10:20:53
Expiry: 28 July 2017 10:11:55
          The data scientist mapping out Game of Thrones in his spare time   
Jonathan Roberts received an unusual email five years ago. It came from Random House. George R.R. Martin, author of the smash hit Game of Thrones series, loved the fantasy maps Roberts had posted...

To view the full story, click the title link.

          You Can Get A Data Analytics Job Without A Masters In Data Science   
If you want a career in analytics, and you have a college degree, then I encourage you to get out there and look for a job in analytics.
          Big data e innovazione: il loro ruolo nel futuro delle aziende   

Big Data e innovazione: perchè gli sterminati database dei moderni servizi internet sono essenziali per chi fa business? Proviamo a capirlo. Già Wired poco tempo fa definiva il Data Scientist come la professione più “sexy” e moderna che ci fosse: […]

L'articolo Big data e innovazione: il loro ruolo nel futuro delle aziende sembra essere il primo su Consulenza Social Media.


          Dell EMC Proven Professional Certification Guide: Overview And Career Paths   
EMC offers certifications in enterprise storage, including tracks for data scientists, cloud (data center) architects, cloud administrators, as well as vendor-neutral options. Learn more about EMC's certifications and career paths for IT professionals. Get Certified
          Senior Data Science Analyst - SapientNitro - New York, NY   
Razorfish Consumer Insight group is responsible for data driven strategic thinking and insight across multiple client engagements....
From Sapient Government Services - Tue, 25 Apr 2017 21:13:14 GMT - View all New York, NY jobs
          Berkman Center front page: Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy   

Subtitle

Microsoft Research's Social Media Collective and Harvard University's Berkman Klein Center for Internet & Society welcome author Cathy O'Neil

Teaser

Please join us for a timely discussion of the role of data science in public life. All are welcome at this free event open to the public!

Event Date

Jul 11 2017 12:00pm to Jul 11 2017 12:00pm
Thumbnail Image: 

Tuesday, July 11, 2017 at 12:00 pm
Microsoft Research's Social Media Collective​
New England Research and Development Center
1 Memorial Drive
1st Floor/Horace Mann
Cambridge, MA 02142​

More information and REGISTER HERE
Arrive early for a seat/grab lunch, served at 11:30AM​

Microsoft Research's Social Media Collective and Harvard University's Berkman Klein Center for Internet & Society welcome author Cathy O'Neil to NERD. O'Neil will read from her award-winning book, Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2016). The reading will be followed by an informal mixer for MSR, NERD, Garage and BKC interns.

Please join us for a timely discussion of the role of data science in public life. All are welcome at this free event open to the public!

About Cathy O'Neil

Cathy O’Neil earned a Ph.D. in math from Harvard, was a postdoc at the MIT math department, and a professor at Barnard College where she published a number of research papers in arithmetic algebraic geometry. She then switched over to the private sector, working as a quant for the hedge fund D.E. Shaw in the middle of the credit crisis, and then for RiskMetrics, a risk software company that assesses risk for the holdings of hedge funds and banks. She left finance in 2011 and started working as a data scientist in the New York start-up scene, building models that predicted people’s purchases and clicks. She wrote Doing Data Science in 2013 and launched the Lede Program in Data Journalism at Columbia in 2014. She is a regular contributor to Bloomberg View and wrote the book Weapons of Math Destruction: how big data increases inequality and threatens democracy. She recently founded ORCAA, an algorithmic auditing company.

About Microsoft Research's Social Media Collective

Over the last decade, social media has become a vital tool for our engagement with the people who matter to us, the work we do, and with the wider public world. From email to Facebook, mobile phones to Twitter, people now use a vast array of social technologies as part of their everyday lives and practices. Our primary purpose is to provide a rich contextual understanding of the social and cultural dynamics that underpin these social media technologies.

Our research collective brings together social scientists and humanists from anthropology, communication, economics, information, law, media studies, women’s studies, science & technology studies, and sociology. Through a variety of methodological and theoretical lenses, we provide insight into how social media is reconfiguring sociality, labor, ethics, and the public realm. Much of our work centers on emergent Web 2.0 technologies, including Twitter, Facebook, YouTube, etc. but we also look to situate these new forms in the longer history of information and communication.

 


          Comment on How Scarce Funding Shapes Young Scientists by Data Science newsletter – March 29, 2017 | Sports.BradStenger.com   
[…] an impassioned op-ed in the Washington Post against the cuts. Steven Eastlack was already writing a blog post about how scarce funding impacts early career researchers, a post that he amended in the 11th hour […]
          EMEA Business analytics & data scientist - HP - Bangalore, Karnataka   
We inform you and you agree that HP may provide your personal data to government, municipal institutions, banks, companies, corporate bodies and individuals,...
From HP - Wed, 07 Jun 2017 11:38:53 GMT - View all Bangalore, Karnataka jobs
          Data Scientist - Wink - New York, NY   
Hands-on experience with supervised and unsupervised machine learning algorithms for regression, classification, and clustering....
From Wink - Thu, 18 May 2017 06:17:27 GMT - View all New York, NY jobs
          How Etsy Uses Big Data for eCommerce to Put Buyers and Sellers in the Best Light   
The next BriefingsDirect big data case study discussion explores how Etsy, a global e-commerce site focused on handmade and vintage items, uses data science to improve buyers and sellers’ discovery...

Learn more about BriefingsDirect, Dana Gardner's blog, and other Interarbor Solutions services by visiting www.interarbor-solutions.com.

          DIGITALSPEC Appoints New Program Director, William Moore, Jr. of The Data Science Practice Supporting DHS/CBP Data Analysis Center - Threat Evaluation and Reduction Center   
DIGITALSPEC, LLC. (DSPEC) is pleased to announce that Mr. William Moore, Jr., PMP/ITIL, will be joining the executive leadership team as a Program Director of Data Science Programs.
          Senior Data Scientist - Scotiabank - Toronto, ON   
Lead the development of strategy optimization frameworks to further enhance credit limits setting, risk-based pricing, and customer targeting throughout credit...
From Scotiabank - Tue, 27 Jun 2017 06:46:37 GMT - View all Toronto, ON jobs
          TDWI Announces Expanded Membership and Training Offerings for Analytics and Data Management Professionals   

Enhanced membership offering web experience and expanded conference schedule highlight TDWI investments in the growing data science and analytics community.

(PRWeb October 03, 2016)

Read the full story at http://www.prweb.com/releases/2016/10/prweb13732108.htm


          New Data Science Bootcamp and Certificate Program to Be Featured at TDWI San Diego Analytics Conference   

TDWI is offering a new two-day intensive Data Science Bootcamp in its Certificate Track Series. The Data Science bootcamp makes its debut at the San Diego Analytics Across the Enterprise Conference.

(PRWeb July 20, 2016)

Read the full story at http://www.prweb.com/releases/2016/07/prweb13563402.htm


          TDWI San Diego Analytics Conference with Co-located Executive Summit and Data Science Bootcamp   

TDWI delivers accelerated, multifaceted learning opportunities that give data professionals the knowledge and skills to succeed with enterprise analytics.

(PRWeb July 08, 2016)

Read the full story at http://www.prweb.com/releases/2016/07/prweb13539824.htm


          Three Industry Thought Leaders on Analytics, Data Science, and Data Visualizations to Keynote the TDWI Accelerate Conference   

Keynote addresses from prominent business intelligence (BI) leaders Wayne Eckerson, Kirk Borne and Jennifer Shin, July 18–20, 2016, in Boston.

(PRWeb June 02, 2016)

Read the full story at http://www.prweb.com/releases/2016/06/prweb13461042.htm


          Data Scientist - Maps Evaluation - Apple - Santa Clara Valley, CA   
Experience with Postgres or other DB. We are a cross functional group of Data Scientists and subject matter experts focusing on building metrics, data pipelines...
From Apple - Sat, 03 Jun 2017 00:31:13 GMT - View all Santa Clara Valley, CA jobs
          Sentiment Analysis & Social Data — Picking the Right Tool for the Job   

We were recently at the Sentiment Analysis Symposium with many of the leaders in the sentiment space. Conference presenters spanned a spectrum: academics, engineers and executives involved in research and developing sentiment analysis tools. The event was full of great … Continue reading

The post Sentiment Analysis & Social Data — Picking the Right Tool for the Job appeared first on Gnip Blog - Social Data and Data Science Blog.


          (USA-CA-San Francisco) Portfolio Manager, North American Equities (San Francisco)   
**Description:** BlackRock is a global leader in investment management, risk management and advisory services for institutional and retail clients\. At December 31, 2016, BlackRock’s AUM was $5\.1 trillion\. BlackRock helps clients around the world meet their goals and overcome challenges with a range of products that include separate accounts, mutual funds, iShares® \(exchange\-traded funds\), and other pooled investment vehicles\. BlackRock also offers risk management, advisory and enterprise investment system services to a broad base of institutional investors through BlackRock Solutions®\. As of December 31, 2016, the firm had approximately 13,000 employees in more than 30 countries and a major presence in global markets, including North and South America, Europe, Asia, Australia and the Middle East and Africa\. For additional information, please visit the Company’s website atwww\.blackrock\.com| Twitter: @blackrock\_news | Blog:www\.blackrockblog\.com| LinkedIn:www\.linkedin\.com/company/blackrock The Scientific Active Equity group \(SAE\) seeks candidates interested in quantitative equity portfolio management positions based in either San Francisco or London\. Portfolio management responsibilities range from strategy implementation and risk management to idea generation and signal research\. Qualified candidates will have a passion for markets, a strong belief in a scientific and systematic approach to active management, and an ability to thrive in an open and collaborative team environment\. SAE is the quantitative equity group within BlackRock which invests over $90B of client assets using a systematic investment approach\. SAE is a pioneer and thought leader in the industry and has consistently achieved client investment goals across global equity markets for over 30 years\. We believe research and innovation is critical to continuing our success and believe in a multi\-disciplinary approach that intersects traditional finance and economics with computer and data science\. **Key Responsibilities:** + Portfolio management responsibilities include: + Portfolio rebalance and trade list generation, ensuring consistency with model insights and market movements + Analyzing performance to understand model and risk factor contributions to returns + Evaluating and improving portfolio construction and implementation + Identifying and monitoring factor exposures and event risks + Implementing systematic risk controls + Owning portfolio management\-related operational issues and working cross\-functionally + Over time, responsibilities would grow to include: + Researching and developing investment ideas and strategies + Managing investments across a full investment life\-cycle including signal research, portfolio construction, trading and risk / return attribution + Presenting strategies and performance to internal business partners and colleagues, as well as external constituents such as clients, consultants, and potential investors + **Qualifications:** + Degree in a quantitative field preferred \(ex: finance/economics, computer science, engineering, math, etc\.\) + Relevant quantitative experience in the investment management industry \(internship to 3 years of experience\) + Experience in equity, fixed income and / or commodity assets classes + General understanding of statistical concepts and practical experience working with large data sets + Proficient use of databases, and modeling and statistical packages \(e\.g\. MATLAB, Python, R\) + Interpersonal skills that contribute to and foster a culture of teamwork and knowledge sharing + Willingness to produce high quality work in a demanding, fast\-paced environment + Excellent verbal and written communication, and relationship\-building skills + Detail\-oriented, team\-oriented and self\-motivated **BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer\. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, disability, veteran status, and other statuses protected by law\.** **BlackRock will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of Article 49 of the San Francisco Police Code\.** **Job Function:** _Investment Management \(Trading, Research, Portfolio Management\)_ **Organization:** _INV\-AE\-SAE_ **Title:** _Portfolio Manager, North American Equities \(San Francisco\)_ **Primary Location:** _Americas\-United States\-San Francisco_ **Requisition ID:** _172020_ **Job Posting:** _Jun 28, 2017, 11:23:06 AM_
          June Programming in Partnership with General Assembly   

Howdy,

Capital Factory and General Assembly are partnering to mix up the programming of the Ask Me Anything (AMA) series for the month of June. RSVP to find out where Austin developers, designers and data scientists work, build and play. Join us tomorrow at 4:30pm for an intro to the Austin developer community! Check out the schedule for the rest of the month.

June 9th - Intro to the Developer Community http://bit.ly/1AiVkdZ
June 16th - Intro to the Austin Startup Scene http://bit.ly/1Iz2oGm
June 23rd - Intro to the Design Community http://bit.ly/1dhJpDb
June 30th - Intro to the Data Science Community http://bit.ly/1IJkG7N

Interested in a checking out Capital Factory? Stop by tomorrow at 4pm for a tour right before the talk. See you there!

Capital Factory


          เปิดตัว Adobe Marketing Cloud   

อะโดบี(Adobe) ส่ง นวัตกรรม การจัดการข้อมูลยุคดิจิตอล(Adobe Data Science ) ช่วยให้นักการตลาดดิจิทัล และนักโฆษณา สามารถส่งมอบประสบการณ์ที่วิเศษให้กับผู้บริโภคได้แล้ววันนี้  นาย อนิล กามัท ปรมาจารย์ด้าน Data Science ของอะโดบี(Adobe) กล่าวว่า วิทยาการจัดการข้อมูล (Data Science) ในการตลาดดิจิตอลเพิ่งจะเริ่มต้นเท่านั้น กระบวนการวิเคราะห์ข้อมูลของเราถูกสร้างขึ้นเพื่อเพิ่มความสามารถของนักการตลาด ซึ่งทำให้ผู้บริโภคได้รับประสบการณ์ที่แสนวิเศษ ตรงความต้องการของแต่ละบุคคล ตรงกลุ่มเป้าหมายและการแบ่งเซ็กเมนต์กลุ่มผู้บริโภค

ทุกครั้งที่คนตัดสินใจทำอะไรก็ตามบนออนไลน์ หรือในแอพพลิเคชั่น นั่นคือจุดเริ่มต้นของการเก็บข้อมูลใหม่ (new data point) ข้อมูลเหล่านี้คือขุมทรัพย์สำหรับนักการตลาด และนักโฆษณา ที่นำมาซึ่งขั้นตอนวิธีการสร้างแอพและเว็บไซต์ที่สามารถประเมินผลจากพฤติกรรมการตัดสินใจ โดยปรับแต่งประสบการณ์ที่เหมาะสมเฉพาะบุคคลจากการเก็บข้อมูลใหม่เหล่านี้  นอกจากนี้ ระบบนี้ยังสามารถตรวจดูรูปแบบของกิจกรรมที่คาดไม่ถึงของกลุ่มบุคคลจำนวนมาก อีกทั้งยังเรียบเรียงและสรุบข้อมูลเพื่อให้นักวิเคราะห์ข้อมูลนำบทสรุบนี้ไปใช้ทำงาน และเพื่อให้นักการตลาดนำไปปรับใช้กับงานที่รับผิดชอบ

การจัดการข้อมูลไม่เพียงทำให้กระบวนการด้านการตลาดดิจิตอลทำได้ง่ายขึ้นเท่านั้น ยังทำให้ผู้ใช้งานได้รับประสบการณ์ที่ดีที่สุดอีกด้วย การจัดการข้อมูลยุคดิจิตอล(Adobe Data Science ) ด้วยกระบวนการวิเคราะห์ข้อมูลแบบใหม่ใน Adobe Marketing Cloud สามารถทำให้เราค้นพบข้อมูลทางพฤติกรรมเชิงลึกได้ตรงจุด จากข้อมูลมากกว่า 41 ล้านล้านรายการต่อปีของคนใช้ทั่วโลก รวมถึงการใช้งานโฆษณาแบบสมบูรณ์แบบทั้งภาพ, เสียง หรือ วิดีโอ (Rich Media) หรือไฟล์เอกสารจาก เครื่องสแกนแบบพกพา (Portable Scanner)  กว่า 4.1 ล้านล้านครั้ง เป็นการเปิดทางให้อะโดบี(Adobe)นำการวิเคราะห์ข้อมูลแปลงเป็นรูปแบบการใช้ชีวิต

ตลาดดิจิตอลด้วยอีเมล์มีส่วนสำคัญในการเพิ่มรายได้มานานแล้ว  ข้อความหัวเรื่องในอีเมล์ที่เหมาะสมสามารถสร้างความแตกต่างระหว่างการถูกลบทิ้งกับการถูกเปิดอ่านได้ วันนี้ Adobe Marketing Cloud  มีความสามารถที่สามารถวิเคราะห์ข้อมูลอัตราการเปิดอ่านจากหัวเรื่องอีเมล์ที่ผ่านมา และแนะนำหัวเรื่องอีเมล์ที่เหมาะสมให้ได้ ตัวอย่างเช่น จากการวิเคราะห์แสดงว่า หัวเรื่องอีเมล์ที่มีคำว่า “brand new” จะมีอัตราการถูกเปิดอ่านมากกว่าคำว่า “new” บริการการคาดเดาหัวเรื่องนี้จะเปิดให้ใช้บริการในแบบทดลองประมาณไตรมาสที่สามปีนี้

ใน Adobe Marketing Cloud จะช่วยให้นักการตลาดคาดเดากระบวนการซื้อที่ทำให้เกิดกำไรสูงสุดจากลูกค้าแต่ละคนได้ สิ่งที่แตกต่างจากวิธีการทดสอบกลุ่มเป้าหมายที่ใช้อยู่ในปัจจุบันก็คือ Adobe Target จะวิเคราะห์พฤติกรรมที่ผ่านมาของลูกค้าเพื่อนำเสนอสินค้าและบริการที่เหมาะสมได้แบบเรียลไทม์ ด้วยการใช้ประโยชน์จากข้อมูลของลูกค้า ผู้ค้าปลีกสามารถจัดลำดับการเสนอส่วนลดให้กับสินค้าคอมพิวเตอร์ ต่อด้วยส่วนลดสำหรับจอมอนิเตอร์ ตามด้วยพริ้นเตอร์ได้ เพื่อที่จะได้กำไรสูงสุดจากการเสนอขายหนึ่งครั้ง

เครื่องมือ ใน Adobe Marketing Cloud จะช่วยให้นักการตลาดทราบความเป็นไปในแบบเรียลไทม์ ได้อย่างที่ไม่เคยเป็นมาก่อน เรียนรู้จากการใช้งานโดยบันทึกและจัดลำดับความสำคัญของความเปลี่ยนแปลงของข้อมูล และจัดสร้างข้อมูลเชิงลึกแบบตรงประเด็นเพื่อช่วยในการตัดสินใจทางธุรกิจ ตัวอย่างเช่น Virtual Analyst ค้นพบว่ารายได้เป็นตัวชี้วัดสำคัญสำหรับคุณ ต่อจากนั้นก็ดูที่การสั่งซื้อ จำนวน และการถูกพูดถึงในโซเชียลมีเดีย Virtual Analyst ยังแจ้งเตือนความผิดปรกติของข้อมูลได้แบบรายชั่วโมง และสร้างอีเมล์แจ้งเตือนได้อีกด้วย บริการนี้คาดว่าจะเปิดให้บริการในช่วงปลายเดือนกันยายนปีนี้

นักการตลาดสามารถใช้ข้อมูลเชิงลึกเหล่านี้จาก วิทยาการจัดการข้อมูล (Data Science) เพื่อทำให้สามารถตัดสินในทางธุรกิจได้ดีขึ้น รู้ว่าควรสร้างเนื้อหาแบบไหนถึงจะโดนใจและเข้าถึงกิจกรรมของผู้ใช้ และได้ประโยชน์จากคำแนะนำและการคาดการณ์ให้กับผู้ใช้ ที่พวกเขาอาจคาดไม่ถึง สำหรับ Adobe ก็สามารถใช้วิธีการนี้ในการจัดการภาพ เช่น การตรวจหาขอบเขตของวัตถุในภาพสำหรับไฟล์ pdf และการแก้ perspective ของภาพจากไฟล์ pdf ที่สแกนจาก เครื่องสแกนแบบพกพา (Portable Scanner)มาเป็นไฟล์ และยังสามารถเปลี่ยนไฟล์ที่สแกนจากเครื่องสแกนแบบพกพา (Portable Scanner)มาให้เป็นไฟล์เอกสารที่แก้ไขได้

ปัจจุบันนี้ ผู้บริโภคมีทางเลือกที่จะติดต่อกับบริษัทต่างๆ ได้หลากหลายช่องทางทั้งออนไลน์และออฟไลน์ ทำให้เราจำเป็นต้องเปลี่ยนแปลงวิธีการให้เหมาะสมกับข้อเท็จจริงนี้ ความสามารถในการจัดการข้อมูลใน Adobe Creative Cloud, Document Cloud และ Marketing Cloud ช่วยขยายธุรกิจในโครงการให้กว้างขึ้น สร้างความพอใจให้กับลูกค้าแบบเรียลไทม์ และสร้างประสบการณ์แบบส่วนตัวให้กับลูกค้าได้ทุกช่องทาง ตั้งแต่ระบบคอลล์เซนเตอร์ไปจนถึงบริการในสาขาของธนาคารด้วย นาย ไจล์ส ริชาร์ดสัน หัวหน้าแผนกวิเคราะห์ข้อมูล Royal Bank of Scotland กล่าว

Cr.ข่าว ARIP


          ACM SIGHPC/Intel Computational & Data Science Fellowships   
ACM SIGHPC/Intel Computational & Data Science Fellowships: $15,000 Deadline: Sun., Apr. 30, 2017 http://www.sighpc.org/fellowships DETAILS: Do you know of students who are studying data science or computing applications, and who are either women or members of an underrepresented group? Submissions are open now for the ACM SIGHPC/Intel Computational & Data Science Fellowships. ACM SIGHPC and […]
          Heriberto Acosta-Maestre   
Institution/Organization: Nova Southeastern University Department: College of Engineering and Computing Academic Status: Graduate Student What conference theme areas are you interested in (check all that apply): Data Analytics and Visualization Data-Driven Modeling and Prediction Interests: My main research interests lie in the area of analytics, data science, and visualizations. My PhD thesis focuses in the […]
          Udacity 30-Second TV Spot: "The Jobs of Tomorrow Start Here"   

Udacity offers world-class learning opportunities in innovative fields such as artificial intelligence, virtual reality, and self-driving cars, as well as mobile and web development, data science, machine learning, and more.

Virtually anyone on the planet with an internet connection and a commitment to self-empowerment through learning can come to Udacity, master cutting-edge skills, and secure rewarding employment.

We work with some of the most forward-thinking companies in the world to help build curriculum, and our hiring partners help ensure our graduates get great jobs. Companies we work with include Google, Facebook, AT&T, Mercedes-Benz, IBM, Nvidia, Hack Reactor, GitHub, Amazon, and more.

Enroll today at udacity.com, and discover why the jobs of tomorrow start here.

Cast: Udacity


          Chapter Lead Data Science - ING - Noord-Holland   
Informal working environment with coffee bar, pool table, games and other fun stuff. ING is looking for a Chapter Lead Data Science....
Van ING - Wed, 24 May 2017 10:45:20 GMT - Toon alle vacatures in Noord-Holland
          Comment on Completed the Microsoft Professional Program Certificate in Data Science by Darrin Bishop   
Thanks. It took months to complete the entire program because the classes start and stop on a schedule. I did it pretty quick and I probably spent a 4-6 hrs per week overall. The final project went in spurts as I came up with new ideas to try. Good luck.
          Comment on Completed the Microsoft Professional Program Certificate in Data Science by Darrin Bishop   
I think the reward for the work is really an "It depends." Location and background history is probably really important. Does this replace a phd in Math or Stats? No, but it gives you some good hands on training with some theory.
          Comment on Completed the Microsoft Professional Program Certificate in Data Science by Darrin Bishop   
No problem, Thanks for the comment.
          Comment on Completed the Microsoft Professional Program Certificate in Data Science by Darrin Bishop   
We had a beta trial on the final project, so it was a little interesting. Lots of people were looking for very high returns but in reality we did not get amazing numbers. Just watch the leader board and try to keep up or average with the others. For many, the trial numbers were very close to the final checks.
          Comment on Completed the Microsoft Professional Program Certificate in Data Science by Gerson   
What can I expect from the final project?
          Comment on Completed the Microsoft Professional Program Certificate in Data Science by Farzad Sunavala   
Darrin, can you please tell me more about the final capstone project? I am about to star it next month and would love more info and any tips that will help me pass. Thanks
          Comment on Completed the Microsoft Professional Program Certificate in Data Science by Kushil   
Congratulations Darrin!! Well done!! How long it took to finish all the courses since you started the first one? How much time per a week is required?
          Comment on Completed the Microsoft Professional Program Certificate in Data Science by Houssem Eddine Alayet   
What chances are in getting a rewarding job once I am getting this certificate? Any idea about the salary average, and chances to go further with Data Science. Thank you guys.
          Comment on Completed the Microsoft Professional Program Certificate in Data Science by Gnango Michel Landry Agah   
Hi Darrin, Congratulation for this achievement! I just started the Microsoft Professional program in Data science 2 days ago and I am expecting to complete it by next month. I am a MSCA SQL server 2012/2014, MCSE Business Intelligence, MCSE Data management, and Analytics. This program seems to me like an excellent training to prepare the actual Microsoft certification in Data science that I have been waiting for so long. I took a quick overview of the curriculum for this program before starting and I think it is worth taking it. I really hope to complete it very soon. Thanks for providing this useful information about this program.
          Data scientist at TED: Algorithms are a 'weapon of math destruction' that need to be regulated   

Evil robot

Algorithms are increasingly prevalent in everything we do, from getting insurance to applying to jobs (if the algorithm doesn't pick your application from a big pile, good luck). While it may seem like these computer calculations are objective measures of whether someone is qualified for a certain position or home loan, human bias is always behind them.

Cathy O'Neil, a data scientist and founder of ORCAA Algorithmic Auditing, had a message for the audience at the 2017 TED talks: "We need to demand accountability from our algorithmic overlords."

During one of the most popular talks of the Wednesday evening TED sessions, O'Neil laid out the various ways that algorithms can go wrong.

She told the story of the value-added algorithmic model for evaluating New York City teachers, which has penalized seemingly excellent educators, as the New York Times found out. And O'Neil brought up the ProPublica investigations into algorithmic racial discrimination, in which the news organization found algorithms discriminating in prison sentencing, car insurance premiums, and elsewhere.

O'Neil also posited a thought experiment: What if Fox News decided to get a fresh start after its recent sexual harassment scandals by using an algorithm in hiring? And what if that algorithm relied on the last 20 years of hiring data to figure out who might be successful in the future? "It would filter out women because they don’t look like people who were successful in the past," she speculated.

"Algorithms don’t make things fair. They automate the status quo," she said. "They're weapons of math destruction." 

The free market won't solve the problem, argued O'Neil, because "there's a lot of money to be made in unfairness."

Her solution: algorithm data auditing. That would involve scrutinizing algorithms to check for integrity (by dealing with biases in the data used to build the algorithms), examining definitions of success (to make sure the algorithm supports non-biased goals), checking overall accuracy, monitoring long-term effects, and avoiding feedback loops. 

Ultimately, O'Neil believes we need a government regulator in charge of algorithms. "I'm not holding my breath in the Trump administration," she said.

SEE ALSO: 'You terrify me': TED speakers duke it out over a plan to release massive amounts of chalk into the atmosphere

Join the conversation about this story »

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          Un cybersceriffo per il Governo Usa   

DJ Patil - cybersceriffo UsaDhanurjay Patil è il primo Cds, Chief Data Scientist. del Governo degli Stati Uniti. È un veterano di molte aziende ben note -Skype, PayPal, eBay e Linkedin- e a lui si chiede di far miglior uso dei dati nell’amministrazione statunitense, in particolare per quanto riguarda la sanità. La mossa di Obama viene dopo una serie di attenzioni che negli ultimi giorni hanno riguardato il mondo della tecnologia e in particolare di Internet.

Il presidente degli Stati Uniti si è occupato molto di sicurezza nel corso degli ultimi giorni. Se l’attenzione principale è sulle opzioni militari e diplomatiche che riguardano il califfato Isis, alcune questioni sono collegate anche alla sicurezza informatica.

Il cyberspazio è oggi come il selvaggio West” di una volta, ha detto Obama ad un summit sulla cybersecurity alla Stanford University, in piena Silicon Valley, spiegando che tutti chiedono ai Governi di fare lo sceriffo, prima però d’impegnarsi a fondo nei comportamenti e nelle misure di sicurezza individuali ed aziendali.

Anche oltreoceano il rapporto tra mondo di Internet e mondo reale è reso difficile dalla lentezza della burocrazia e dalla frequente compromissione di dati di rilevanza nazionale ed internazionale, ma anche dei consumatori.

Oggi negli States la legislazione è frammentaria e contrapposta nelle varie entità locali. Il mondo delle aziende chiede un testo unico con regole chiare per tutti. Ma il rischio è che le regole finirebbero per riguardare sia il mondo pubblico sia quello privato, in tutte le forme, sbilanciando l’equilibrio a favore dello Stato federale. “Siamo in un momento chiave”, ha detto Tim Cook, Ceo di Apple, sempre al summit di Stanford “abbiamo visto che sacrificare il diritto alla privacy può avere effetti terribili sulla nostra sicurezza e sulla vita”. Insomma bisogna sì agire, ma stando attenti a non sacrificare parti importanti dei diritti di tutti.

L'articolo Un cybersceriffo per il Governo Usa è un contenuto originale di 01net.


          DATA SCIENCE SOFTWARE DEVELOPER - IRELAND - Overstock.com - Ireland, WV   
Java build managers (maven); Strong Java skills (version 8 preferred). Design, develop, and maintain scalable and performant Java webservices....
From Overstock.com - Fri, 23 Jun 2017 19:34:32 GMT - View all Ireland, WV jobs
          Senior Data Scientist - Algorithm Experimentation - Netflix - Los Gatos, CA   
Experience with distributed analytic processing technologies (Hadoop, Hive, Pig, Presto, MapReduce, Spark)....
From Netflix - Wed, 29 Mar 2017 21:02:02 GMT - View all Los Gatos, CA jobs
          Data Scientist, IS&S Business Operations - Apple - Santa Clara Valley, CA   
Experience with Spark and/or Presto is highly desirable. Apple is searching for a highly-skilled data scientist to join the Analytics and Data Products team in...
From Apple - Fri, 16 Jun 2017 12:38:01 GMT - View all Santa Clara Valley, CA jobs
          Data Scientist, Platform Engineering  - Apple - Santa Clara Valley, CA   
Familiarity with Big Data tools like Spark, Presto, Hive etc. At Apple, we work every day to create products that enrich people’s lives....
From Apple - Thu, 08 Jun 2017 12:34:43 GMT - View all Santa Clara Valley, CA jobs
          Data Scientist - Under Armour - California   
Ideally, has experience with big data technologies like Spark, Hive, Presto, etc. As an established leader in performance and innovation, Under Armour Connected...
From Under Armour - Wed, 19 Apr 2017 16:15:18 GMT - View all California jobs
          Data Scientist - Sg2   

          Introducing Data X   
New initiative will expand Lehigh’s capacities for teaching and research in computer and data science.
          Data Scientist - integrate.ai - Toronto, ON   
Founded by Steve Irvine, former Facebook executive, we are proud to be based in Toronto, Canada at the centre of an exciting AI ecosystem....
From Integrate.ai - Sat, 10 Jun 2017 01:09:24 GMT - View all Toronto, ON jobs
          Data Scientist - Consultants 2 Go - United States   
As Data Scientists, we work with business leaders to solve clients’ business challenges and improve clients’ marketing results....
From Consultants 2 Go - Tue, 27 Jun 2017 02:58:08 GMT - View all United States jobs
          Sr. Data Science Engineer - Adobe - San Jose, CA   
Develop predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning, or...
From Adobe - Fri, 26 May 2017 06:25:59 GMT - View all San Jose, CA jobs
          Scientific Computing Programmer Analyst   
eclaro Redwood City, CA Job description: ...Duration: 6 months (potential right to hire) Work Authorization: W2 Pay Rate:$65 hr Client: Bristol Myers Squibb Job Number: 21003-1 Data Scientist Computational Biologist Be part of a company...
          Applying data science to doc migrations brought sense to the City of LA   
When the city of LA was burdened with antiquated systems of sharing information, data science was applied and doc migrations performed.
          Bringing business leaders, data science and advanced analytics together   
How do you bridge the gap between academia and industry when it comes to data science and advanced analytics? Sai Devulapalli, Data Analytics Product and Business Leader at Dell, has some ideas.
          Data Scientist (Machine Learning)   

          DATA SCIENCE SOFTWARE DEVELOPER - IRELAND - Overstock.com - Ireland, WV   
Java build managers (maven); Strong Java skills (version 8 preferred). Design, develop, and maintain scalable and performant Java webservices....
From Overstock.com - Fri, 23 Jun 2017 19:34:32 GMT - View all Ireland, WV jobs
          (Associate) Data Scientist for Deep Learning Center of Excellence - SAP - Sankt Leon-Rot   
Build Machine Learning models to solve real problems working with real data. Software-Design and Development....
Gefunden bei SAP - Fri, 23 Jun 2017 08:50:58 GMT - Zeige alle Sankt Leon-Rot Jobs
          Data Scientist   

          Tech Tonics: Data Scientist Eric Perakslis, “I Build Stuff.”   
“I build stuff” is how data scientist Eric Perakslis modestly describes his breathless career, a journey that’s taken him from industry to academia and back again, with a brief stop at the FDA. Eric’s first job after college was at a small combinatorial chemistry startup in Boston, but he was soon recruited to J&J, where he [...]
          Devon Energy Increases Efficiency and Safety with AI – Intel Chip Chat – Episode 514   
In this Intel Chip Chat audio podcast with Allyson Klein: Kathy Ball, Manager E&P Analytics and Data Science for Devon Energy, joins us live from Intel AI Day in San Francisco. A data science pioneer in the oil & gas industry, Devon Energy uses AI to find oil and gas more effectively, efficiently and safely. [...]
          IBMとHortonworksが提携を拡大 「IBM Data Science Experience」と「HDP」の連携をより密に   

IBMとHortonworksがビッグデータソリューション分野で提携を拡大。IBMのデータサイエンスや機械学習の技術を、Hadoopのエコシステム全体でより広く活用できるようにする取り組みを打ち出した。


          General Electric recrute 300 data scientists à Paris   
General Electric, va recruter 300 data scientists et spécialistes de la data en trois ans sur Paris. Ce sera 50 collaborateurs dans un premier temps pour 2016. […]
          Senior Specialist, Data Science - Prudential - Newark, NJ   
And a passion for generating business impact. Develop and maintain consultative relationships with key business stakeholders....
From Prudential - Tue, 30 May 2017 20:29:44 GMT - View all Newark, NJ jobs
          Specialist, Data Science - Prudential - Newark, NJ   
Identify analytical solutions for business problems. And a passion for generating business impact. Develop and maintain consultative relationships with key...
From Prudential - Tue, 30 May 2017 20:29:44 GMT - View all Newark, NJ jobs
          Senior Analyst, Data Science - Prudential - Newark, NJ   
And a passion for generating business impact. Develop and maintain consultative relationships with key business stakeholders....
From Prudential - Wed, 28 Jun 2017 23:45:06 GMT - View all Newark, NJ jobs
          Senior Data Scientist - Tailored Brands - Fremont, CA   
Tailored Brands features leading menswear Men’s Wearhouse, Jos. Tailored Brands provides a personal, convenient, one-of-a-kind shopping experience with...
From Indeed - Tue, 06 Jun 2017 22:57:45 GMT - View all Fremont, CA jobs
          UH leads $20M research partnership to secure Hawaiʻi’s water future   
Hawai‘i depends exclusively on local water. The ‘Ike Wai  project will provide data and models that address the grand challenge of water sustainability. A diverse workforce of data scientists and water researchers will work in concert with the community, government and business to inform decision makers with high-quality data and predictive capacity.  The project incorporates indigenous and […]
          Data Scientist - 3M - Maplewood, MN   
This position will work closely with FP&A, Business Group finance teams, Treasury, Tax, Audit and Internal reporting teams to complete high impact projects....
From 3M - Wed, 29 Mar 2017 01:44:52 GMT - View all Maplewood, MN jobs
          Process Data Scientist (Woodbury, MN) - 3M - Woodbury, MN   
Implement relevant and valuable computational algorithms in software that support 3M businesses. Provide strong understanding of internal business segment...
From 3M - Tue, 07 Mar 2017 20:00:10 GMT - View all Woodbury, MN jobs
          Data Scientist Assistant - FLAGCX, The Creative Disruption Network - São Paulo, SP   
Include SEM vision and social media. At CUBOCC, we help shape the future of advertising by mixing different disciplines to deliver fully integrated...
De FLAGCX, The Creative Disruption Network - Sun, 25 Jun 2017 06:41:17 GMT - Visualizar todas as empregos: São Paulo, SP
          (USA-WA-Seattle) Senior Product Manager - Tech   
Amazon has a diverse set of global businesses. The Technology Center of Excellence in the Enterprise Risk Management and Compliance (ERMC) team provides technology products and solutions to help these businesses address the compliance requirements. As a Senior Product Manager, you will play a leading role in building these technical products - you will work closely with Amazon businesses to meet legal audit and compliance requirements for areas like risk mitigation, fraud, screening, and controls. You will have a relentless focus on the customers and dive deep into the challenges they face. You will have the responsibility through the full product lifecycle, including setting product strategies, defining roadmaps, creating features, executing projects, directing the launch, and driving the adoption of products. You'll also leverage machine learning and data analytics in building these products. The Technology Center of Excellence in the ERMC is a rapidly growing function and team. The ideal Senior Product Manager will: - Excel and thrive in a fast-paced environment like Amazon - Possess exceptional analytical, project management, writing, and organizational skills - Be a team player and willing to roll up your sleeves and do whatever is necessary to get things done - Entrepreneurial spirit, with a track record of delivering results - Bachelor's degree in Computer Science, Computer Engineering, or a related field - 8+ years’ experience in software development, data science, technical program or product management, in a related business - 2+ years in Product Management - Ability to dive deep into technical concepts and architecture as well as communicate technical information effectively to less technical audiences - Previous experience working in a web services, cloud, and user interface design environment - MBA, MS, or advanced degree in a related field - Entrepreneurial spirit, with a track record of delivering results - Proficient in programming and scripting languages for data science and analysis including SQL - Lead and influence across different organizations and align diverse teams to a common goal - Handle competing priorities in a fast-paced and demanding environment Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation AMZR Req ID: 552567 External Company URL: www.amazon.com
          (USA-WA-Seattle) Business Intelligence Analyst   
Love data? Love music? The Amazon Music team is looking for a brilliant, creative, and passionate professional to join our Business Intelligence team. Responsibilities include: developing customer insights and segmentation to enhance and drive acquisition and engagement marketing, optimization of Amazon Music signup funnels on all devices and platforms, evaluation and optimization of marketing and content, and developing self-serve analytical tools for use by the Digital Music product and business teams. In this role you will begin by leading our efforts to deploy Tableau software to the Digital Music organization, partnering with Data Engineering to create and surface critical datasets to the org for self-service analysis and reporting in order to facilitate business and product team ability to identify marketing, product and content opportunities. You will help lead the way in defining and optimizing how we measure and value customer acquisition and engagement. Our ideal candidate has a combination of strong technical skills, superb analytical capabilities, outstanding business insight, and excellent verbal and written communication skills. As a member of our team, you will have the opportunity to work with one of the largest and most complex data warehouses in the world to gather insights using data from across Amazon. You will work closely with the marketing, merchandising, product, and development teams to solve unique problems and find answers to questions that require tenacious problem solving and creativity. Data-driven decision making is at the core of Amazon’s culture, and your work will have a direct impact on decision making and strategy for the Amazon Music Team. Key Responsibilities - Partner with Data Engineering to roll out Tableau visualization software to the Amazon Music team. This will require full-time attention for the first 6 months of service, then will help transition ownership for continued support and curation to the rest of the BI team. - Working with marketing, merchandising, product management and engineering to identify and scope data aggregations that facilitate analysis of most common customer behavioral questions. - Partnering with our Data Engineering team to enhance data infrastructure, data availability, and broad access to customer insights made available through Tableau. - Lead training and education efforts to enable the broader Amazon Music org to self-service reporting and basic analysis needs through Tableau. - Join large and growing BI/Data Science team to leverage extensive music listening data to better understand customers and contribute to product and marketing strategy. - Defining and developing tests to identify the best way to reach, convert, and retain customers. - Reporting to senior leadership and the team at large, on customer, product and marketing insights and trends. - Proactively developing new metrics and studies to quantify customer behavior. - Combining online web customer behavior and offline customer attributes to gain novel and powerful understanding of Digital Music customers. - Quickly build a thorough understanding of the Digital Music industry, its seasonality and global business trends and continually monitor the impact of important industry developments. - Work closely with finance team to conduct business and financial analysis, including forecasting and monitoring of key business activity. · BS degree in Statistics, Computer Science, Mathematics, Finance, Econometrics, or other quantitative field · 3+ years of professional experience in web analytics, business analysis or comparable analytics position. · Highly skilled at querying relational databases (SQL) and ability to pull data from various sources · 2+ years of experience working with best-in-class data visualization software, preferably Tableau. · Experience with analytic tools such as R, SAS, SPSS, etc. · In-depth experience with web analytics tools and analyzing online customer behavior · Strong critical thinking skills and attention to detail · Strong interpersonal and communication skills. Must be able to explain technical concepts and analysis implications clearly to a wide audience, including senior executives, and be able to translate business objectives into actionable analyses · Passionate about understanding customers and their behavior · Masters or PhD in Statistics, Computer Science, Mathematics, Operations Research, or other quantitative field · Proven experience in BI/DW as a change leader providing strategic research, recommendations, and implementation in both business and technical roles · Experience with Python or other relevant scripting language · Experience with relational database design and architecture · Music industry experience · A passion for music! Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. #MusicJobs AMZR Req ID: 551329 External Company URL: www.amazon.com
          (USA-WA-Seattle) Software Development Engineer   
Do you want to build the premium shopping experiences for millions of Amazon customers? Do you want to work on performance challenges for providing the best recommendations less than 200 milliseconds, given millions of customers and millions of products? Are you interested in working on Machine Learning and data science, believing every customer should not have the same experience? Amazon has a role or you. Amazon is looking for an experienced, result-oriented engineer to predict patterns in the interests of customers and the products they love. Our vision is to provide personalized shopping experience for Amazon devices, accessories, and services for all channels, including voice, applying machine learning science, which will drive continuous innovation and change the way people shop on Amazon. You will seek out hidden and valuable correlations between the easily-measurable and the hard-to-quantify, within immense volumes of real-world data. You will develop ML models and train them to solve the personalization challenges. You will formulate quantitative metrics which allow us to track progress and audit solutions with minimal cost and human effort. You will also pioneer development of ML platform and infrastructure with scalability and performance in mind. You will work closely with product managers and UX designers to identify and solve real-world customer problems and business opportunities. You will have the opportunity to interact with senior engineers throughout the company to determine the best practices for architecting, building, testing, and deploying software solutions/components. You will have complete ownership to define new shopping experiences and drive innovation with the latest technologies, including machine learning. We encourage experimentation and pushing innovative technology solutions. You will also have opportunities to build platforms and influence other groups as you define new customer experiences. We are a full stack team, so you will have experience in all aspects of our multi-tiered environment. Software development engineer positions require a depth and breadth of knowledge in design and development, experience with agile methodologies, proficiency in a high-level language, experience building highly scalable, systems involving distributed services and persistent storage. You will own the design of major deliverable and have opportunities to build them from scratch. This is a high visibility and fast-paced environment where you will make a direct impact on the customer experience and the bottom line of the company. + Bachelor's degree in Computer Science or another technical field, or commensurate professional experience. + 4+ years of professional software development experience + Proficiency in at least one modern object-oriented programming language such as Java, C++ or C# + Deep understanding of CS fundamentals including data structures, algorithms and complexity analysis + Experience building large-scale, high-performance systems in a complex, multi-tiered, distributed environment + Design and architecture knowledge as well as familiarity with object oriented analysis and design patterns (OOA/OOD) + Ability to thrive in fast-paced, dynamic environment + Proven track record of taking ownership and successfully delivering results + Experience with service-oriented architecture and web application/services development from scratch + Experience working in a UNIX/Linux environment is preferred + Understanding of performance tradeoffs, load balancing and operational issues + Ability to clearly and concisely communicate with technical and non-technical stakeholders across all levels of the organization AMZR Req ID: 544927 External Company URL: www.amazon.com
          Data Science Lead   
Job Description

Welcome!

Hungry for a new venture?

Grubhub is the nation's leading online and mobile food ordering company, dedicated to connecting hungry diners with their favorite local restaurants. The people who work at Grubhub are our company's greatest asset; each person at Grubhub plays an integral part in building tools and technology that help restaurants succeed, and in cooking up fresh new ways to delight our diners.

The company’s online and mobile ordering platforms allow diners to order directly from more than 55,000 takeout restaurants in over 1,100 U.S. cities and London. The Grubhub portfolio of brands includes Grubhub, Seamless, AllMenus, and MenuPages.

We want you to enjoy where you work, who you work with and what you work on. At Grubhub, you can order your cake and eat it too!

 

Some Challenges You'll Tackle:



As a part of CRM leadership, you will lead the team that develops models and triggered programs that deliver relevant offers to our hungry diners. The systems you’ll build will affect grubhub.com and offsite experience (email, push notifications, display and social ads).





We believe in personalization - finding the most relevant offer for each of our diners, across a diverse set of options. This means solving complex, large-scale problems using Spark and ...


Read More on Datafloq

          Data Scientist   
Job Description


Analyze and understand the disparate sources of industry data
Apply data-mining and machine learning techniques to large structured and unstructured datasets
Iterate to push the boundaries on what problems can be solved through data analytics
Scaling from ad-hoc advanced analytics prototypes to large-scale learning solutions in live systems
Clearly communicate analysis methods and results to Komodo and client team
BS, MS, or PhD in Computer Science, Engineering or related field
2+ years experience with Python, Scala, or Java and distributed frameworks (Hadoop, Spark, etc.
Rapid prototyping and advanced analytics (e.g. R, MatLab, Pandas, SciPy)
SQL and Relational Databases

...


Read More on Datafloq

          Data Scientist   
Job Description

The books that we publish and read today provide inspiration for a range of other forms of art and the creative industry as a whole. How many Oscar-winners, Hollywood blockbusters and hit TV series started as books?

The publishing industry has gone through huge changes, driven by the impact of digital and the challenges and opportunities that it presents. In recent years, HarperCollins pioneered the creation and development of a Global Pricing and Analytics function. The team plays a pivotal role for the global group of companies and markets and acts as a source of competitive advantage at international scale.

The Senior Data Scientist will enjoy working in a start-up bubble within a creative and innovative environment typical of a media powerhouse. If you love data, have a passion for statistics and machine learning and enjoy coding sophisticated analytic tools, this is an exciting opportunity for you to get off the beaten path, find hidden gems in the fascinating change that publishing is experiencing and contribute to state-of-the-art dynamic pricing capabilities and wider analytics systems that the Global Data Science team is building.

 

Responsibilities:


Define the strategic direction under the guidance of the CDO, trading off between competing priorities.
Translate business challenges into data ...


Read More on Datafloq

          Data Scientist   
Job Description

The Company

Vantiv is making payments smarter, faster and easier for all our partners, as well as the consumers they serve. From the largest retailers in the U.S. to the coffee shop down the street, we are leading the transformation in payments through chip-enabled cards, mobile wallets, eCommerce, and payment solutions for businesses of all sizes. We are the fastest growing payments company in the U.S., first in PIN Debit transactions and the second largest merchant acquirer. Visit Vantiv.com for more.

 

The Opportunity

Vantiv's growth is one attributed not only to our first-in-class products and services, but also our ability to find new avenues of opportunity. This sense of discovery is thanks to the innovative and visionary work of our Marketing team; a team that leaves no stone unturned in seeking out and exploring new channels for Vantiv. When we are proactive and beating the trends in our marketing strategy, we stay ahead of the competition and assure continued growth and success at Vantiv.

The Associate Data Scientist designs and develops methods and systems that have the ability to consolidate and analyze "big data" that generate insights to untapped client solutions. He/she will develop and code software programs, algorithms and automated processes to ...


Read More on Datafloq

          Data Scientist   
Job Description

Who We’re Looking For

We are looking for an analytically-oriented data scientist to join our growing team and help build cutting edge data processes and products.

 

Your responsibilities would include:


Conducting data mining
Building predictive models
Developing proprietary algorithms and assets for clients
Drawing key insights to drive critical decision making
Creating high quality data driven presentations
Collaborating with peers and managers to consistently exceed client expectations
Participating in the full cycle of strategic client analysis projects from client facing kick-off to code delivery or implementation


 

The ideal candidate will have:


2+ years of hand-on experience doing quantitative analysis/modeling, technical/coding work
A desire to work on big data, predictive modeling, and machine learning projects (but not alone!)
Superb communication and presentation skills
Ability to think strategically, analytically, and proactively about diverse business problems
Passion for managing the quality & accuracy of analytics, including checking your and others’ work
Experience multi-tasking in a fast-paced – and a fast-growing – small company or professional services/consulting firm environment is a plus
Proficiency with Python
Expertise in SQL and relational databases
Familiarity with AWS
Exposure to big data tools such as Hadoop, Hive, Sqoop, Pig, Impala or Spark is a big plus
Experience in advertising or media & entertainment are a plus
Experience with predictive analytics / data science is a plus
Degrees in Physics, Mathematics ...


Read More on Datafloq

          Be wary of data scientists who well, aren t   
Secuobs.com : 2013-04-09 21:13:18 - SecurityCurve - I ve been noticing a trend Namely, there
          Data Scientist - Reynolds Consumer Products - Lake Forest, IL   
Determine best methods to gather, model, manipulate, and present data while gathering business requirements and translating business questions into business...
From Reynolds Consumer Products - Wed, 17 May 2017 16:33:39 GMT - View all Lake Forest, IL jobs
          How Artificial Intelligence is transforming eCommerce marketing – A CXO Talk Video Interview   
My colleague, Andrew Eichenbaum who leads Data Science at Kahuna and I had the pleasure of sitting down with Michael Krigsman of CXO Talk this past week. For those of you who may not know the show, Michael conducts interviews on topics that are profoundly changing the technology and business landscape. We spent the hour […]
          Urban Youth as Data Scientists and Network Builders   
My friend Sidney Hargro, posted an article on Linkedin today, which I started to respond to, but ran out of characters.

Here's what I wrote:

More than 15 years ago I began to see the potential of data management and information networking as a skill and 21ct century career opportunity and recognized that since the Internet was an emerging tool, the starting line for rich kids and poor kids was almost the same....IF...patrons were willing to put mentor-rich non-school programs in high poverty neighborhoods, filled with computers, the internet, and opportunities for young people to learn to use those in ways richer kids would also be learning.

A youth who learns coding, web design, blogging, video creation, data visualization, and story telling and how to build an on-line network and motivate people in a desired direction, is learning leadership skills that will have great value.  These skills can be learned without the help of local schools, if the people making learning opportunities in the non-school hours have enough vision and resources.  Kids could be leaving  high school and starting their own consulting businesses or information networking companies --- transporting themselves and their families from poverty to the upper middle class and beyond, in one generation.   Unfortunately , I know of too few places where such programs are operating in high poverty areas of Chicago or other cities.

The opportunity still exists.

Following are a couple of visualizations that illustrate what such a program might look like.  The first is a graphic I've used for over 20 years to describe a program with volunteers from many different industries and backgrounds serving as tutors, mentors, leaders, organizers, etc.  This Total Quality Mentoring (TQM) PDF illustrates the idea.



This next graphic visualizes three forms of learning that would be happening in such a program, if the leaders shared this vision.  This concept map shows a focus on academic, social and work skills and the goal of building habits of using the internet to find and share information.

It's difficult to know how many, if any, Chicago area tutor and/or mentor programs have such a vision because few use visualizations on their web sites to show program design and strategy. I've been browsing a list of organizations that I host on Facebook, and just a few attempt to show program design with videos they share.  This East Village Youth Village Program video is one way of showing program design.

When I write about extra roles volunteer tutors and mentors might take, or the role of talent volunteers, I'm thinking of people who work with kids and other volunteers to help programs communicate their own program vision and design better, by borrowing ideas from what others are already doing.  


This vision needs to be shared by philanthropists, business leaders, volunteers and others, as well as by program leaders, if it is to become practice in more than a few places.

I'd be happy to help others explore this idea and others that I share on this blog and the Tutor/Mentor Institute, LLC web site.
          Developer (Data Science Team)   
Premier IT - London - Developer - Data Science Team Investments Company London £70,000 - £100,000 Python - C# - Data Science - Machine Learning... An asset management firm (>£30bn AUM) in London are looking for a developer with good knowledge of data science/machine learning...
          Data Scientist - Senior Consultant - Clarity Insights - United States   
Candidates must possess excellent SQL Skills working with RDBMS's such as Oracle, DB2, Redshift, Vertica, Greenplum, or Teradata....
From Clarity Insights - Mon, 17 Apr 2017 21:47:31 GMT - View all United States jobs
          Data Scientist - Principal - Clarity Insights - United States   
Prefer candidates with strong SQL Skills working with RDBMS's such as Oracle, DB2, Greenplum, Redshift or Teradata. Do YOU have a passion for working with Data?...
From Clarity Insights - Fri, 24 Mar 2017 10:04:37 GMT - View all United States jobs
          Chief Data Scientist - Predictive Science - United States   
Develop innovative approaches to linking internal systems with external data. Experience in creating and implementing machine learning algorithms and advanced...
From Predictive Science - Sat, 11 Mar 2017 08:06:17 GMT - View all United States jobs
          Senior Advisor Product Management - Threat Detection, Security - Dell - Reston, VA   
Supports the Business Line (IS Level) of strategic planning. It also requires some knowledge of Data science and machine learning technologies used for...
From Dell - Thu, 25 May 2017 05:26:48 GMT - View all Reston, VA jobs
          Senior Data Scientist, NLP - Demandbase - San Francisco, CA   
Work with customers and internal stakeholders to define hypotheses and models. Proven ability to solve problems using NLP and machine learning in an industry...
From DemandBase - Sat, 22 Apr 2017 02:02:09 GMT - View all San Francisco, CA jobs
          Machine Learning Software Engineer - Demandbase - San Francisco, CA   
Build out new applications and business solutions as part of a combined data scientist / machine learning / engineering team....
From DemandBase - Wed, 05 Apr 2017 01:04:05 GMT - View all San Francisco, CA jobs
          (USA-CA-Palo Alto) Associate Solutions Consultant   
Associate Solutions ConsultantUS-CA-Palo Alto + Apply + View All Jobs Share This Job About Tibco Headquartered in Palo Alto, Calif., TIBCO Software empowers businesses to their digital destinations by interconnecting everything in real time and providing augmented intelligence for everyone, from business users to data scientists. With more than 10,000 customers, 3500 employees located in over 30 countries, TIBCO has retained the speed and agility of a start-up. We value and encourage new ideas, direct communication, out-of-the-box thinking, risk-taking and creative problem solving. We're looking for people who want to make a difference doing a job they love – dynamic individuals willing to take the risks necessary to make big ideas come to life and who are comfortable collaborating in our creative, new-idea-driven environment. We value hard work and provide new opportunities to grow, learn, and excel. Overview As a Associate Solutions Consultant, you'll partner with our Sales team to manage the technical aspects of the sales cycle across all of our product offerings. This is a highly customer-facing role offering a diverse set of technical challenges. Responsibilities + Define and present focused product demonstrations that illustrate how TIBCO software addresses the critical business issues that a prospect faces + Deliver strong "proof-of-concept" engagements that demonstrate business value and technical benefits as well as strong ROI + Play a key role in uncovering opportunities to provide additional solutions within existing major accounts + Work with account managers to create sales plans and forecasts + Work "one-on-one" with business and technical analysts to assist them in exploring solutions, overcoming ease-of-use hurdles, improving data access and/or deriving more value from TIBCO software and solutions Qualifications + 1-5 years of experience either in a presales capacity or as an employee in a data-driven part of the business + Adept at all aspects of field and C-level customer interactions, including presentations, demonstrations, and proof-of-concepts with both business and technical audiences + Strong history of successfully supporting sales cycles + Previous experience with analytics/data discovery/reporting/business intelligence software + Strong computer skills. Knowledge of relational databases and SQL helpful but not mandatory + Hands-on experience with statistical programming languages (especially R or S+) helpful but not mandatory + Must be proactive, intellectually curious, motivated and not afraid to challenge the status quo or offer innovative new ideas + Bachelor’s Degree or higher in engineering, computer science, mathematics, statistics, physics, geology or other relevant scientific field.
          DATA SCIENCE SOFTWARE DEVELOPER - IRELAND - Overstock.com - Ireland, WV   
Design, develop, and maintain scalable and performant Java webservices. The Software Developer in Data Science is a skilled Java developer who also takes on...
From Overstock.com - Fri, 23 Jun 2017 19:34:32 GMT - View all Ireland, WV jobs
          Data Scientist, Advanced Analytics - LogRhythm - Boulder, CO   
Working hands-on/embedded with engineering teams to develop and rapidly deliver scalable, reliable, performant product that provides security value to end-users...
From LogRhythm - Fri, 24 Mar 2017 21:05:24 GMT - View all Boulder, CO jobs
          DATA SCIENCE SOFTWARE DEVELOPER - IRELAND - Overstock.com - Ireland, WV   
Design, develop, and maintain data mining jobs in Java, Scala, Python, Hadoop, Spark, R, SQL, and/or other query language....
From Overstock.com - Fri, 23 Jun 2017 19:34:32 GMT - View all Ireland, WV jobs
          Data Scientist, IS&S Business Operations - Apple - Santa Clara Valley, CA   
As a member of this team, you’ll be providing data-driven insights to help inform the roadmap for many of our top services and commercial platforms, including...
From Apple - Fri, 16 Jun 2017 12:38:01 GMT - View all Santa Clara Valley, CA jobs
          SASE Panel on The Moral Economy of Technology   

Note: This is the text of my contribution to a panel at the SASE meetings, UC Berkeley last Sunday. My role was to tee up the discussion. The other panelists were Maciej Cegłowski, Stuart Russell, and AnnaLee Saxenian. My remarks draw on work that Marion Fourcade and I have been doing on information technology and markets, but she should not be held responsible for anything here, especially the bits about 18th century French intellectuals. Maciej has also published his remarks — they’re excellent, and you should read them.

In its original sense, the term “moral economy” refers to some kind of informal but forceful collective control over the market. It’s the original wisdom of crowds. It puts justice over efficiency, fairness over freedom, and community expectations over individual opportunity. Its most prominent exponents, E.P. Thompson (1971) and James Scott (1977), had in mind, respectively, 18th century English crowds angry about the price of bread, and norms of reciprocity amongst crop-farming peasants in 20th century Southeast Asia. Both settings are quite far removed from the moralized, technologically enabled but passive-aggressive struggle that unfolded in the Uber I took on Friday evening, on my way here from the airport. The 101 was backed up all the way from the Bridge to Portola. My driver got agitated. “I know a shortcut”, he said, and exited on to some surface streets south of the Mission. “But Google Maps says everything is completely jammed”, I replied, “You should just say on the highway.” “If I cut over to Folsom, it’ll be faster,” he said. “No, just do what the Google Maps Voice says, for God’s sake. It knows better than you! Don’t make me give you a bad rating!” I didn’t say that last part out loud, of course, because I am a conflict averse person. In my mind’s eye, the ghost of E.P. Thompson looked at me in a disgusted sort of way.

The Ideologues of Progress

While the original idea of a moral economy doesn’t fit so well with the world of information technology, a slightly expanded one does quite easily. New technologies are counting and classifying your actions constantly in an effort to make you a better person. Their promoters and investors constantly moralize about their products, too. They do it so much that the goal of software “making the world a better place” is a stock joke, as in the show Silicon Valley. This kind of moral economy is not about justice or fairness. Instead it evangelizes social progress through technological disruption. This vision has deep historical roots that are uncomfortably entwined with the origins of the social sciences.

The precursors of modern social science were “ideologues of progress”, in Krishan Kumar’s (1986) phrase. They had vivid ideas about what the future would look like; they insisted on the connection between social change and moral progress; and they had strong views about the role of science in this process. We see it first in the Scottish Enlightenment, and then in France with the philosophes of the eighteenth and early nineteenth centuries—people like Turgot, and Condorcet, and especially Henri Saint-Simon. They coined words like “individualism”, “industrialism”, “socialism”, “the organization of labor”, stages of development, or used them in their modern sense for the first time. Their successor and disciple Auguste Comte gave us the word “sociology”, as you probably know, but also the word “altruism”, as he fleshed out his positivist religion of scientific humanism.1

They saw themselves as having discovered the stages society passed through, which in their view made their ideas scientific rather than political. They almost all thought that authority in the society of the future would be grounded in scientific knowledge. They had fabulous plans for the role of scientists, including social scientists. They would constitute the supreme source of authority within the state. Saint-Simon’s version, or one of them, was called the Council of Newton. Comte’s was going to be called the Positive Occidental Committee, a permanent council of his new Religion of Humanity. He sensibly said it was to meet “usually in Paris”, and would consist of “eight Frenchmen, seven Englishmen, six Germans, five Italians, and four Spaniards.” He designed a flag for it and everything.2

These ideas may sound a little nutty. But in some ways Comte had the right idea—he just backed the wrong social-scientific horse, and the picked the wrong city. His and his predecessors’ ideas about social progress, scientific knowledge, and practical administration were hugely influential right across the political spectrum. They promised the elimination of politics and its replacement by rational administration by men of knowledge and expertise. The Saint-Simonian vision became what Hayek called “the religion of the engineers”, full of faith in the power of rational expertise. That religion is very much still with us. It’s in our institutions and our culture everywhere from the Federal Reserve Board on down to comment threads on Hacker News. And it’s there in the need that tech firms feel to say they’re going to use the data they have collected to Make the World a Better Place.

Contemporary social theorists no longer expect to be priests of a new society. These days they are mostly outside the bubble, spending their time coining terms to describe it. Meanwhile, in recent years, the technology sector has massively accelerated the demand for the collection and analysis of data while also gradually diminishing the role of specifically social-scientific expertise in its evaluation. A few people are lucky enough to get access to private treasure-houses of data at places like Facebook or Uber. But mostly, these firms are managing and analyzing their data for themselves. The ideology of progress has been cut loose from social science and grafted itself on to big data and its handmaiden, data science. More recently, those terms are starting to be displaced by the idea of “Artificial Intelligence”. I think this has happened because of the so-called Internet of Things. Now that everyone has a powerful little networked computer in their pockets, it’s time to put one in everything else, too. So computers aren’t just being used to track you and sell ads, but also do other things, from vacuuming your floor to ordering your groceries to driving you around.

Does the thing Really Work?

In his book, The Sneetches (1961), Dr Seuss discusses the disruptive entrepreneur Sylvester McMonkey McBean, a pioneer in the development of smart devices that satisfy the needs of socially connected groups with strong community values:

“Just pay me your money and hop right aboard!”
So they clambered inside. Then the big machine roared.
And it klonked. And it bonked. And it jerked. And it berked.
And it bopped them about. But the thing really worked!

McBean’s device was a pernicious technology of social classification. But I think it’s important to keep in mind that, as Seuss points out, the thing really worked. It really did put stars on the bellies of the Sneetches who had none upon thars, and they loved it. If it hadn’t really worked it would have been pernicious as well, just in a different way.

Consider two basic experiences of our new world of smart devices and internet-enabled things. The first is the nice one. I associate it with the lives of people who live in Apple advertisements. It’s the feeling of something “just working”, that sense that a computer or device knows what you want it to do, or has anticipated a need that you have and acted on it in a pleasing way. It is a feeling of magic and delight, or at least a sense of ease and convenience. Two decades ago I got that feeling from being able to fetch photographs of Mars from a computer in Pasadena, even though I was in a flat in Ireland. A decade ago I got that feeling from watching my new phone produce my approximate location on a map, even though I already knew where I was. Last year I got it from stepping out of San Francisco Airport, touching my phone a few times, and having a car appear to take me where I wanted to go. In five years time, in ten years time, I expect something else will play that role, too.

The second basic experience is the bad one. I associate it with a parade of malfunctioning, misconceived or badly-designed software and smart devices.3 A hand-dryer that requires you to watch an ad before it will work. A flask that knows when it is empty and does … something. Most recently I’ve experienced it with allegedly smart devices that pretend they can talk with and understand you, but which are really just verbal command lines operating on the narrowest of gauges. If you stray from the expected path at all, the illusion of both interactivity and smartness is destroyed. That happens because indexical pronouns and contextual meanings are appallingly difficult problems to solve programatically. Until they figure out how to interpret what you really want, the people who program the computer would much prefer you to behave like a robot with a very limited set of needs.

Social theorists consistently underestimate the value of technology’s delightful aspects. When it works, people really love it. They pay money for it. Theorists tend to react by assuming there must be something wrong with people who have that feeling. They want to say your Fitbit or Apple Watch is exercising a subtle form of control over you by encouraging you not just to meet your step count for the day but also encouraging you to value the act of meeting your step count for the day, and most perniciously by arranging things so that you experience your valuation of the act of meeting your step count for the day as a satisfying personal choice, rather than an instrument of neoliberal governmentality.

Conversely, though, the same theorists also consistently overestimate how often software and hardware actually works properly. They don’t make this mistake in their own lives, because they have to deal with malfunctioning printers, insurance company websites, iTunes, and Learning Management Software. But too often in our theories, “algorithms” rule, forming a massive system of social reproduction. Social-scientific critiques of information technology are like mirror images of the moralizing hype that comes with the technology. Like a mirror, they reverse left and right, so that cheerful hype becomes a harsh critique of the all-consuming power of technology. But—also like a mirror—they do not reverse up and down. The technology is still assumed to work, even though it probably doesn’t, most of the time.

It matters which technologies are going to work, and which ones are just going to be billion dollar cargo-cults. I am not confident in my ability to pick. The volume of engineering resources presently being directed at these problems is astonishing, and the massive diffusion of cheap, connected computers is unprecedented. Social scientists should hesitate before simply asserting that implementation problems will not be solved in something like the manner that the main players are driving towards. But we may also be overly tempted to believe that these new technologies really are working as advertised. This may be because, even though our temperament is critical, Comte’s ideology of progress is still there in the marrow of our field. We expect society and its technologies to work very systematically, even when we do not like the results.

Either way, these technologies continue to hoover up vast quantities of data for collection, maybe for analysis, destined eventually to be shared, breached by hackers, or otherwise abused in some way. If, like McBean’s machine, the thing really works, then we have one set of implications for our future—a future where individual tastes and and potentials are accurately and predictably sifted from gigantic datasets in an ongoing flow of profitable mutual co-ordination and anticipation. If it doesn’t really work, another future presents itself—one where technologies are more like (in Maciej Cegłowski’s phrase) “money laundering for bias”, or ritualized applications of nonsensical or procrustean methods. We may face some version of Oscar Wilde’s dilemma, where the only thing worse than the moral economy of technology working as advertised is the moral economy of it not working as advertised.

I have no straightforward answer to this problem, which may be why I am not giving a TED talk. Mostly I worry about the things that will get sold not to consumers, but to institutions like schools, law enforcement, healthcare and so on—things that will probably be broken or fraudulent in some basic sense, that will cost a lot of money, and that will have very real consequences for the people who have to use them or be judged by them. And I think back to my Uber ride from San Francisco to Berkeley the other day. I used my fancy phone to order up a car with a minimum of fuss. My harried driver was upset that the traffic was going to prevent him from getting another fare as soon as he wanted, and he probably needed the money. I found myself annoyed that he was trying to be smarter than Google—as if that were possible!—and then felt bad about my annoyance. Meanwhile outside the car, the roads were in terrible shape, there were far too many people trying to cross the bridge, and everyone was sitting in the traffic, looking at their phones.


  1. Kumar’s Prophecy and Progress (1986) has an excellent discussion of these themes, which I rely on here and in the following two paragraphs. [return]
  2. See Comte’s A General View of Positivism (1865) for plenty more in this vein. [return]
  3. See @internetofshit on Twitter for an ongoing parade of examples. [return]

          Data Scientist   
SC-Charleston, The Post and Courier is seeking an analytical and marketing-minded Data Scientist to join our team. This candidate will help discover meaningful insights hidden amongst the vast amounts of data, and help the organization make smart decisions in order to deliver the best products and services. Candidates must be curious and creative and be able to discern which problems are important to solve for t
          Seven new academic programs coming to campus this fall   
You might already know that IUPUI offers more than 350 undergraduate, graduate and professional programs.And come this fall, there will be a few more.Here’s a look at seven new academic programs from a variety of schools across campus:Ph.D. in data science, School of Informatics and Computing: This degree—the first of its kind in Indiana and in the Big Ten, and one of only a handful in the United States—leads to positions in academia as well as in industry. In fact, Glassdoor, a job and employment-recruiting website, ranks data scientist as the No. 1 job in America based on the number of job openings, salary and overall job-satisfaction rating. According to Glassdoor, the median base salary for a data scientist is $116,840.The field of data science involves collection, organization, management and extraction of knowledge and insights from massive, complex, heterogeneous data sets commonly known as "big data."Ph.D. in American studies, School of Liberal Arts: This nontraditional doctoral program looks to recruit students interested in exploring issues through a multidisciplinary approach, drawing on courses already being offered across the School of Liberal Arts. A doctoral internship of at least a year will help students translate their research into a variety of careers."The Ph.D. program in American studies at IUPUI does not tweak the traditional Ph.D. model, but rather builds an infrastructure for a collaborative and applied graduate school experience in order to close the distance between academia and the world that surrounds it," said Raymond Haberski Jr., professor of history and director of American studies.Graduate minor in communicating science, Department of Communication Studies, School of Liberal Arts: Scientists and health professionals today need to connect to and engage with the lay public, policymakers, funders, students and professionals from other disciplines. As a result, they find the need to tailor their communication for a variety of audiences. This program—designed for future scientists, including researchers and practitioners, who find themselves increasingly responsible for public speaking and writing—will increase students’ career prospects, help them secure funding and help them serve as effective teachers."The courses will offer more than public speaking and writing tips," said Krista Hoffmann-Longtin, assistant professor of communication studies in the School of Liberal Arts and assistant dean for faculty affairs and professional development in the School of Medicine. "Scientists will learn to improvise messages; to tell relevant stories; and to connect effectively with students, collaborators and funders."Liberal arts and management certificate, School of Liberal Arts: A 2013 study suggests that a liberal arts degree coupled with other skills can nearly double job prospects when those skills include marketing, business, data analysis and management—just to name a few."This certificate offers a course of study from both liberal arts and business to better prepare the 21st-century liberal arts graduate to respond to the challenges of a more complex world," said Kristy Sheeler, associate dean for academic programs in the School of Liberal Arts and a professor in the Department of Communication Studies. Contact Sheeler with questions about this new program.Doctor of public health in global health leadership, Richard M. Fairbanks School of Public Health: The school already knows what some students in this new program will do when they graduate: They’ll become state health commissioners; ministers of health; program officers; and mid- to senior-level managers in government agencies, foundations, nonprofits and nongovernmental organizations.That’s based on experiences of a similar program at the University of North Carolina at Chapel Hill. The person who helped design and lead that program is now at IUPUI: Sue Babich, associate dean of global health, director of the doctoral program in global health leadership, and professor of health policy and management.The degree prepares students to be leaders who can address the world’s challenging and complex public health issues. The three-year degree is a distance program, with classes delivered in real time via internet video. Students meet face-to-face three times each year in years one and two, and they complete dissertations in year three.Master of Science degree in product stewardship, Richard M. Fairbanks School of Public Health: The only academic degree available today designed to prepare students for leadership roles in the emerging field of product stewardship will train professionals to help businesses in a wide range of industrial fields navigate increasingly complex regulations as they advocate for the production of products in ways that ease regulatory compliance, minimize risks to people and the environment, and boost profitability.The online 30-credit-hour degree is expected to attract, among others, professionals who are already active in the product-stewardship field seeking formal training that will allow them to move up in their product-stewardship organizations and professionals from a wide range of other backgrounds, including environmental health, regulatory compliance, industrial hygiene, occupational health and safety, sustainability, product development, supply chain, and law.Master of Arts in teaching English to speakers of other languages (TESOL), Department of English, School of Liberal Arts: This 31-credit-hour degree provides both a strong theoretical foundation and hands-on practical experience to prepare national and international graduate students to become effective teachers of English to adult learners who speak other native languages, both in the United States and abroad.Working with IUPUI’s award-winning faculty, students will experience rich opportunities in teaching practica, including not only English for academic purposes but also English for specific purposes—for example, academic, legal, business and medical English. The program features a unique curricular strength in second-language research, materials preparation, curriculum design and the use of technology in second-language learning."It is thrilling to be able to launch the Master of Arts in TESOL at IUPUI," said Ulla Connor, director of the program. "This program is the culmination of TESOL and applied linguistics programming in the Department of English at IUPUI over the past 30 years. Our previous programs include the English for Academic Purposes Program for international students, which began in 1985; the International Center for Intercultural Communication, which started in 1998; and the Program for Intensive English that we began in 2015.”
          Data Science Consultant   
Do you get a buzz out of engaging with clients and enabling them to solve problems and gain insights from data? Do you enjoy getting ...
          Scottish data science firm announces expansion following six-figure Netherlands contract   
heraldscotland.com, 27th May 2016
          Data Scientist   
OH-Cincinnati, Data Scientist Location: Blue Ash, OH 45242 Duration: 12 months contract to hire Our large client in Cincinnati is looking for a Data Scientist to join their team. In this role you will be responsible for creating detailed analysis and operational recommendations through intense mathematical analysis, collaboration with subject matter experts, model design and development. RESPONSIBILITIES: Assist
          Data Scientist - 3M - Maplewood, MN   
This position will work closely with FP&A, Business Group finance teams, Treasury, Tax, Audit and Internal reporting teams to complete high impact projects....
From 3M - Wed, 29 Mar 2017 01:44:52 GMT - View all Maplewood, MN jobs
          Process Data Scientist (Woodbury, MN) - 3M - Woodbury, MN   
Implement relevant and valuable computational algorithms in software that support 3M businesses. Provide strong understanding of internal business segment...
From 3M - Tue, 07 Mar 2017 20:00:10 GMT - View all Woodbury, MN jobs
          How is Data Science in Advertising Like the NBA?   
My latest article on how data science in advertising is similar to the data science be used in the NBA is now up on Digiday. My passion for basketball has existed my whole life, so it’s really cool to see aspects of my career and the current state of data usage in the NBA start Read More →
          Data Scientist, Service Operations - Tesla Motors - Fremont, CA   
Experience with Java, Tableau, Hive, Spark, MongoDB is a plus. We are looking for a Data Scientist for the most progressive vehicle brand in the world....
From Tesla Motors - Fri, 26 May 2017 02:10:40 GMT - View all Fremont, CA jobs
          Data Scientist - Wink - New York, NY   
Hands-on experience with supervised and unsupervised machine learning algorithms for regression, classification, and clustering....
From Wink - Thu, 18 May 2017 06:17:27 GMT - View all New York, NY jobs
          Partners HealthCare and GE Healthcare Launch 10-year Collaboration on Artificial Intelligence   
Partners HealthCare and GE Healthcare Launch 10-year Collaboration on Artificial Intelligence

May 17, 2017 — Partners HealthCare and GE Healthcare announced a 10-year collaboration to rapidly develop, validate and strategically integrate deep learning technology across the entire continuum of care. The collaboration will be executed through the newly formed Massachusetts General Hospital and Brigham and Women’s Hospital Center for Clinical Data Science and will feature co-located, multidisciplinary teams with broad access to data, computational infrastructure and clinical expertise.

The initial focus of the relationship will be on the development of applications aimed to improve clinician productivity and patient outcomes in diagnostic imaging. Over time, the groups will create new business models for applying artificial intelligence (AI) to healthcare and develop products for additional medical specialties like molecular pathology, genomics and population health.

“This is an important moment for medicine,” said David Torchiana, M.D., CEO of Partners HealthCare. “Clinicians are inundated with data, and the patient experience suffers from inefficiencies in the healthcare industry. This partnership has the resources and vision to accelerate the development and adoption of deep learning technology and empower clinicians with the tools needed to store, analyze and leverage the flood of information to more rapidly and effectively deliver care.”

The vision for the collaboration is to implement AI into every aspect of a patient journey – from admittance through discharge. Once the deep learning applications are developed and deployed, clinicians and patients will benefit from a variety of tools that span disease areas, diagnostic modalities and treatment strategies and have the potential to do everything from decrease unnecessary biopsies to streamline clinical workflows to increase the amount of time clinicians spend with patients versus performing administrative tasks. Additionally, the teams will co-develop an open platform on which Partners HealthCare, GE Healthcare and third-party developers can rapidly prototype, validate and share the applications with hospitals and clinics around the world.

With the initial diagnostic imaging focus, early applications will address cases like:

  • Determining the prognostic impact of stroke,
  • Identifying fractures in the emergency room;
  • Tracking how tumors grow or shrink after the administration of novel therapies; and
  • Indicating the likelihood of cancer on ultrasound.

The applications are being developed based on three criteria:

  1. Patient impact;
  2. Technical capability; and
  3. Market appetite.

This is to ensure that the solutions being developed are not solely dependent on the data that’s available but specifically target the top clinician pain points and the most critically ill patients. The goal is to bring the most promising solutions to market faster, so they can start making an impact for hospitals, health systems and patients globally sooner.

Spinal injury patients represent the types of cases where deep learning applications can help clinicians deliver faster, more efficient care, as the patients need to be treated immediately or run the risk of significant and permanent damage. For a single patient, a lumbar spine magnetic resonance imaging (MRI) exam may generate up to 300 images. In addition, a doctor may need to review prior scans and notes in a patient’s electronic medical record before making a diagnosis. A deep learning application could be leveraged to quickly analyze the data and determine the most critical images for the radiologist to read, shortening the time to treatment for trauma patients, and enabling the clinician to deliver more personalized and comprehensive care for all patients – critically injured or not.

“We’re evolving the healthcare system to be able to take advantage of the benefits of deep learning, bringing together hospitals, data sets and clinical and technical minds unlike ever before,” said Keith Dreyer, DO, Ph.D., chief data science officer, Departments of Radiology at MGH and BWH. “The scope reflects the reality that advancements in clinical data science require substantial commitments of capital, expertise, personnel and cooperation between the system and industry.”

Watch a VIDEO interview with MGH Center for Clinical Data Science director Mark Michalski on the development of artificial intelligence to aid radiology.

Read the article "How Artificial Intelligence Will Change Medical Imaging."

For more information: www.gehealthcare.com, www.partners.org


          How Artificial Intelligence Will Change Medical Imaging   
AI, deep learning, artificial intelligence, medical imaging, cardiology, echo AI, clinical decision support, echocardiography

An example of artificial intelligence from the start-up company Viz. The image shows how the AI software automatically reviews an echocardiogram, completes an automated left ventricular ejection fraction quantification and then presents the data side by side with the original cardiology report. The goal of the software is to augment clinicians and cardiologists by helping them speed workflow, act as a second set of eyes and aid clinical decision support.

An example of how Agfa is integrating IBM Watson into its radiology workflow. Watson reviewed the X-ray images and the image order and determined the patient had lung cancer and a cardiac history and pulled in the relevant prior exams, sections of the patient history, cardiology and oncology department information. It also pulled in recent lab values, current drugs being taken. This allows for a more complete view of the patient's condition and may aid in diagnosis or determining the next step in care.  

Artificial intelligence (AI) has captured the imagination and attention of doctors over the past couple years as several companies and large research hospitals work to perfect these systems for clinical use. The first concrete examples of how AI (also called deep learning, machine learning or artificial neural networks) will help clinicians are now being commercialized. These systems may offer a paradigm shift in how clinicians work in an effort to significantly boost workflow efficiency, while at the same time improving care and patient throughput. 

Today, one of the biggest problems facing physicians and clinicians in general is the overload of too much patient information to sift through. This rapid accumulation of electronic data is thanks to the advent of electronic medical records (EMRs) and the capture of all sorts of data about a patient that was not previously recorded, or at least not easily data mined. This includes imaging data, exam and procedure reports, lab values, pathology reports, waveforms, data automatically downloaded from implantable electrophysiology devices, data transferred from the imaging and diagnostics systems themselves, as well as the information entered in the EMR, admission, discharge and transfer (ADT), hospital information system (HIS) and billing software. In the next couple years there will be a further data explosion with the use of bidirectional patient portals, where patients can upload their own data and images to their EMRs. This will include images shot with their phones of things like wound site healing to reduce the need for in-person follow-up office visits. It also will include medication compliance tracking, blood pressure and weight logs, blood sugar, anticoagulant INR and other home monitoring test results, and activity tracking from apps, wearables and the evolving Internet of things (IoT) to aid in keeping patients healthy.

Physicians liken all this data to drinking from a firehose because it is overwhelming. Many say it is very difficult or impossible to go through the large volumes of data to pick out what is clinically relevant or actionable. It is easy for things to fall through the cracks or for things to be lost to patient follow-up. This issue is further compounded when you add factors like increasing patient volumes, lower reimbursements, bundled payments and the conversion from fee-for-service to a fee-for-value reimbursement system. 

This is where artificial intelligence will play a key role in the next couple years. AI will not be diagnosing patients and replacing doctors — it will be augmenting their ability to find the key, relevant data they need to care for a patient and present it in a concise, easily digestible format. When a radiologist calls up a chest computed tomography (CT) scan to read, the AI will review the image and identify potential findings immediately — from the image and also by combing through the patient history  related to the particular anatomy scanned. If the exam order is for chest pain, the AI system will call up:

  • All the relevant data and prior exams specific to prior cardiac history;
  • Pharmacy information regarding drugs specific to COPD, heart failure, coronary disease and anticoagulants;
  • Prior imaging exams from any modality of the chest that may aid in diagnosis;
  • Prior reports for that imaging;
  • Prior thoracic or cardiac procedures;
  • Recent lab results; and
  • Any pathology reports that relate to specimens collected from the thorax.

Patient history from prior reports or the EMR that may be relevant to potential causes of chest pain will also be collected by the AI and displayed in brief with links to the full information (such as history of aortic aneurism, high blood pressure, coronary blockages, history of smoking, prior pulmonary embolism, cancer, implantable devices or deep vein thrombosis). This information would otherwise would take too long to collect, or its existence might not be known, by the physician so they would not have spent time looking for it.   

Watch the VIDEO “Examples of Artificial Intelligence in Medical Imaging Diagnostics.” This shows an example of how AI can assess aortic dissection CT images.
 

Watch the VIDEO “Development of Artificial Intelligence to Aid Radiology,” an interview with Mark Michalski, M.D., director of the Center for Clinical Data Science at Massachusetts General Hospital, explaining the basis of artificial intelligence in radiology.

At the 2017 Health Information and Management Systems Society (HIMSS) annual conference in February, several vendors showed some of the first concrete examples of how this type of AI works. IBM/Merge, Philips, Agfa and Siemens have already started integrating AI into their medical imaging software systems. GE showed predictive analytics software using elements of AI for the impact on imaging departments when someone calls in sick, or if patient volumes increase. Vital showed a similar work-in-progress predictive analytics software for imaging equipment utilization. Others, including several analytics companies and startups, showed software that uses AI to quickly sift through massive amounts of big data or offer immediate clinical decision support for appropriate use criteria, the best test or imaging to make a diagnosis or even offer differential diagnoses.  

Philips uses AI as a component of its new Illumeo software with adaptive intelligence, which automatically pulls in related prior exams for radiology. The user can click on an area of the anatomy in a specific MPI view, and AI will find and open prior imaging studies to show the same anatomy, slice and orientation. For oncology imaging, with a couple clicks on the tumor in the image, the AI will perform an automated quantification and then perform the same measures on the priors, presenting a side-by-side comparison of the tumor assessment. This can significantly reduce the time involved with tumor tracking assessment and speed workflow.  

Read the blog about AI at HIMSS 2017 "Two Technologies That Offer a Paradigm Shift in Medicine at HIMSS 2017."

 

AI is Elementary to Watson

IBM Watson has been cited for the past few years as being in the forefront of medical AI, but has yet to commercialize the technology. Some of the first versions of work-in-progress software were shown at HIMSS by partner vendors Agfa and Siemens. Agfa showed an impressive example of how the technology works. A digital radiography (DR) chest X-ray exam was called up and Watson reviewed the image and determined the patient had small-cell lung cancer and evidence of both lung and heart surgery. Watson then searched the picture archiving and communication system (PACS), EMR and departmental reporting systems to bring in:

  • Prior chest imaging studies;
  • Cardiology report information;
  • Medications the patient is currently taking;
  • Patient history relevant to them having COPD and a history of smoking that might relate to their current exam;
  • Recent lab reports;
  • Oncology patient encounters including chemotherapy; and
  • Radiation therapy treatments.

When the radiologist opens the study, all this information is presented in a concise format and greatly enhances the picture of this patient’s health. Agfa said the goal is to improve the radiologist’s understanding of the patient to improve the diagnosis, therapies and resulting patient outcomes without adding more burden on the clinician. 

IBM purchased Merge Healthcare in 2015 for $1 billion, partly to get an established foothold in the medical IT market. However, the purchase also gave Watson millions of radiology studies and a vast amount of existing medical record data to help train the AI in evaluating patient data and get better at reading imaging exams. IBM Watson is now licensing its software through third-party agreements with other health IT vendors. The contracts stipulate that each vendor needs to add additional value to Watson with their own programming, not just become a reseller. Probably the most important stipulation of these new contracts is that vendors also are required to share access to all the patient data and imaging studies they have access to. This allows Watson to continue to hone its clinical intelligence with millions of new patient records.  
 

The Basics of Machine Learning

Access to vast quantities of patient data and images is needed to feed the AI software algorithms educational materials to learn from. Sorting through massive amounts of big data is a major component of how AI learns what is important for clinicians, what data elements are related to various disease states and gains clinical understanding. It is a similar process to medical students learning the ropes, but uses much more educational input than what is comprehensible by humans. The first step in machine learning software is for it to ingest medical textbooks and care guidelines and then review examples of clinical cases. Unlike human students, the number of cases AI uses to learn numbers in the millions. 

For cases where the AI did not accurately determine the disease state or found incorrect or irrelevant data, software programers go back and refine the AI algorithm iteration after iteration until the AI software gets it right in the majority of cases. In medicine, there are so many variables it is difficult to always arrive at the correct diagnosis for people or machines. However, percentage wise, experts now say AI software reading medical imaging studies can often match, or in some cases, outperform human radiologists. This is especially true for rare diseases or presentations, where a radiologist might only see a handful of such cases during their entire career. AI has the advantage of reviewing hundreds or even thousands of these rare studies from archives to become proficient at reading them and identify a proper diagnosis. Also, unlike the human mind, it always remains fresh in the computer’s mind. 

AI algorithms read medical images similar to radiologists, by identifying patterns. AI systems are trained using vast numbers of exams to determine what normal anatomy looks like on scans from CT, magnetic resonance imaging (MRI), ultrasound or nuclear imaging. Then abnormal cases are used to train the eye of the AI system to identify anomalies, similar to computer-aided detection software (CAD). However, unlike CAD, which just highlights areas a radiologist may want to take a closer look at, AI software has a more analytical cognitive ability based on much more clinical data and reading experience that previous generations of CAD software. For this reason, experts who are helping develop AI for medicine often refer to the cognitive ability as “CAD that works.”

   

AI All Around Us and the Next Step in Radiology

Deep learning computers are already driving cars, monitoring financial data for theft, able to translate languages and recognize people’s moods based on facial recognition, said Keith Dreyer, DO, Ph.D., vice chairman of radiology computing and information sciences at Massachusetts General Hospital, Boston. He was among the key speakers at the opening session of the 2016 Radiological Society of North America (RSNA) meeting in November, where he discussed AI’s entry into medical imaging. He is also in charge of his institution’s development of its own AI system to assist physicians at Mass General. 

“The data science revolution started about five years ago with the advent of IBM Watson and Google Brain,” Dreyer explained. He said the 2012 introduction of deep learning algorithms really pushed AI forward and by 2014 the scales began to tip in terms of machines reading radiology studies correctly, reaching around 95 percent accuracy.

Dreyer said AI software for imaging is not new, as most people already use it on Facebook to automatically tag friends the platform identities using facial recognition algorithms. He said training AI is a similar concept, where you can start with showing a computer photos of cats and dogs and it can be trained to determine the difference after enough images are used. 

AI requires big data, massive computing power, powerful algorithms, broad investments and then a lot of translation and integration from a programming standpoint before it can be commercialized, Dreyer said. 

From a radiology standpoint, he said there are two types of AI. The first type that is already starting to see U.S. Food and Drug Administration approval is for quantification AI, which only requires a 510(k) approval. AI developed for clinical interpretation will require FDA pre-market approval (PMA), which involves clinical trials.

Before machines start conducting primary or peer review reads, Dreyer said it is much more likely AI will be used to read old exams retrospectively to help hospitals find new patients for conditions the patient may not realize they have. He said about 9 million Americans qualify for low-dose CT scans to screen them for lung cancer. He said AI can be trained to search through all the prior chest CT exams on record in the health system to help identify patients that may have lung cancer. This type of retrospective screening may apply to other disease states as well, especially if the AI can pull in genomic testing results to narrow the review to patients who are predisposed to some diseases. 

He said overall, AI offers a major opportunity to enhance and augment radiology reading, not to replace radiologists. 

“We are focused on talking into a microphone and we are ignoring all this other data that is out there in the patient record,” Dreyer said. “We need to look at the imaging as just another source of data for the patient.” He said AI can help automate qualification and quickly pull out related patient data from the EMR that will aid diagnosis or the understanding of a patient’s condition.  

Watch a VIDEO interview with Eliot L. Siegel, M.D., Dwyer Lecturer; Closing Keynote Speaker, Vice Chair of Radiology at the University of Maryland and the Chief of Radiology for VA Maryland Healthcare System, talks about the current state of the industry in computer-aided detection and diagnosis at SIIM 2016. 

Read the blog “How Intelligent Machines Could Make a Difference in Radiology.”


          Data Scientist - Cisco - San Jose, CA   
We Are Cisco. Excellent written and oral communication skills, able to communicate with all levels of SSO internal technology teams and business....
From Cisco Systems - Tue, 18 Apr 2017 00:04:32 GMT - View all San Jose, CA jobs
          Sr. Data Scientist - Cisco - San Jose, CA   
We Are Cisco. Excellent written and oral communication skills, able to communicate with all levels of SSO internal technology teams and business *....
From Cisco Systems - Thu, 23 Mar 2017 23:32:26 GMT - View all San Jose, CA jobs
          Data Scientist - Manager - Capgemini - Burbank, CA   
Internal and client resources to understand key business goals, build. The Collaborative Business ExperienceTM....
From Capgemini - Thu, 22 Jun 2017 07:59:20 GMT - View all Burbank, CA jobs
          Let's Use Data And Tech To Create A Government That Works   
Breakthroughs in medicine, data science, online education, renewable energy, and satellite navigation have changed the world. From smartphones to PET scans, from pest-resistant seeds to asteroid landings, the list of extraordinary, ingenious, life-changing achievements is almost endless. But from a public policy perspective, the pace of improvement is harrowing. Governments around the world need to find mechanisms that simultaneously enable greater opportunity for their social entrepreneurs as well as better protection for citizens. The new structures will need to use data more wisely, make decisions more quickly, and regulate more fairly. They will also need to provide data to collaboratively achieve performance-measured outcomes, and better engage communities and civil society’s participation in the process.
          Data Scientist - integrate.ai - Toronto, ON   
Founded by Steve Irvine, former Facebook executive, we are proud to be based in Toronto, Canada at the centre of an exciting AI ecosystem....
From Integrate.ai - Sat, 10 Jun 2017 01:09:24 GMT - View all Toronto, ON jobs
          (USA-WA-Redmond) Software Engineering Manager   
Microsoft Edge is our new flagship web browser -- designed for Windows 10 devices and the modern web. For 500 million Windows 10 users, the browser is integral to their lives at work, school, and home. People spend over 50% of their time in Windows in a browser, and Edge is the most used first-party app on Windows 10. Today Edge has over 300 million monthly active users (MAU) and growing. Microsoft Edge is designed to be fast, reliable, battery-efficient, and secure, with differentiated experiences in common web activities like reading, research, commerce, notetaking, and multi-tasking across multiple sites. Edge is at the center of the Windows experience and increasingly a core driver of Windows business results via Bing. Our team is an integrated studio of PMs, Designers, Developers, and Data Engineers. We have a deep love for the web and the connectedness it enables among people around the globe. We are a high-function, high-ambition team that is interconnected with all of the major groups across the company. We believe strongly that only by building a great team and culture will we be able to deliver differentiated experiences that customers value highly enough to choose Microsoft Edge. We are looking for an exceptional Engineering Manager to lead one of our engineering team. This role is highly complex and highly challenging as we evolve the culture of the company and the organization to be customer obsessed and data-driven in everything we do. In conjunction with the rest of the leadership team, the engineering manager is responsible for clearly understanding market dynamics, partnering closely with teams across the company for shared success, setting an overall strategy for how we evolve our engineering approach, leading the engineering team through the project, and, most importantly, being a terrific manager and cultural leader within our team and across the company. As manager of the organization, you will be responsible for: leading the organization to be customer-obsessed and ready to meet the growing demands, defining the strategy and vision for success of evolving organization as well as Microsoft Edge product. Leading the team to embrace data-driven engineering and agile methodologies. Partnering with engineering teams across Windows and Microsoft to define, measure and monitor the key performance metrics that enable us to deliver the best in class web browser on Windows (including Xbox and Hololens) as a Universal Windows Platform (UWP) app that users choose and love. Continuously raising the quality of Microsoft Edge flights and releases by defining the flighting and release criteria. Identifying the next set of innovation that will address user needs and drive consumer adoption. Understanding and driving adoption of Microsoft Edge in enterprise and education segments through targeted investments. Gathering and analyzing usage data and business metrics to drive insights about our customers, drive prioritization and decision making, and drive product improvement. A successful candidate will have the following qualifications: • BS or MS in Computer Science or engineering field • 10+ years of experience with leading/managing people with a proven track record of building strong teams • 15+ years designing and developing software with a proven track record as a technical leader on complex projects • Passion for the web, Windows, and delivering excellent user experiences • Curious, relentless, get-it-done, positive attitude • Ability to motivate and set vision in the face of a high degree of ambiguity • Exceptional communication and interpersonal skills with a customer focus • Strong technical engineering, design, coding, testing and/or debugging skills • Ability to collaborate and drive quality across the team and disciplines (Design, PM, Dev, Marketing, etc.) • Strategic mindset and a demonstrated ability to see and act within the bigger picture Experience with any of the following is a major plus: • Data Engineering; Data Science, Data Mining & Analytics • Direct customer engagement • PowerBI and SQL, including database design and query optimization • Web technologies, including HTML, CSS, and JavaScript • Networking technologies, Graphics, Windows programming and OS fundamentals. • Working on v1 products or startup • Demonstrated experience shipping products at Microsoft Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to askstaff@microsoft.com. Development (engineering)
          (USA-WA-Redmond) Digital Content Manager   
Are you passionate about digital media innovation and customer behavior? Do you like to drive business impact through innovative channels? Do you love to think creatively on how to acquire new customers and land brand stories through digital media? Do you want to be a part of a business transformation moving a multi-billion-dollar business to a subscription model? If so, the Office Marcom team is looking for a Digital Content Manager to develop and manage the global customer lead generation and direct media assets and media creative strategies for our Office 365 acquisition campaigns. The core function of this role is to develop the media asset strategy, learning plan and optimization process for driving efficiencies and results against our key performance indicators. We are looking for someone with a passion for developing advertising content on paid media channels that moves the needle and produce business results in a massive way. If you are obsessed with digital story-telling, user-center creative thinking and how to create and develop business process and creative assets that deliver on top performance KPIs, this is the position for you. The Digital Content Manager would be responsible for not only prioritizing, developing, and managing the end to end process paid media on all digital channels including social platforms while influencing/collaborating with a team of others developing media advertising creative on a daily basis. The individual best suited would enjoy working with data scientists, media planners, business owners, agencies, and key stakeholders to explore the nuances of lead generation and direct buy media content to examine what really makes an impact on ROI. To succeed here, you should a high attention to detail, creative problem-solving skills, and an eye for what moves people to buy in the performance marketing space. The Digital Content Manager will be key in our efforts to develop creative that delivers successfully against business goals while managing the multiple stakeholders and global expansion and efficiencies in performance. What You Need for this Position: •5+ years’ industry experience in the media industry. •A seasoned professional with extensive experience in media content development and process management •A passion and talent for big-idea thinking - while understanding the nuances of the paid media space •Media agency experience a must - A strong knowledge and history working in the field, with expertise in the following areas: media planning/digital strategy, media creative creation, user-centered creative thinking, digital marketing, and an understanding of all things emerging tech and media •An expert ability to provide clear creative direction in a timely manner, and an understanding of how to scale and prioritize your time between teams and business needs •Excellent communication skills and ability to implement and scale paid media creative process globally •The desire to work with leadership to properly get projects and process off the ground •Assist in developing companywide creative processes; including high priority brainstorms, emerging social opportunities, and innovating on campaign work •Be flexible with and open to new processes, platform changes, and emerging technologies. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to askstaff@microsoft.com. #OfficeMktg Marketing
          Big Data / Data Science traineeship - Yacht - Eindhoven   
Werken voor Yacht. Eerste kennismakingsgesprek met yacht consltant. Vervolg interview met talentconsultant van YACHT.... €2.340 per maand
Van Yacht - Tue, 27 Jun 2017 06:02:39 GMT - Toon alle vacatures in Eindhoven
          Driving big data & analytics adoption in ASEAN   
In this e-guide, learn how Singapore's central bank as well as universities and research facilities are driving the adoption of analytics and data science, and how SAS is prepping its marketers for the data flood. Published by: ComputerWeekly.com
          Credit Analyst Intern   
Credit Analyst Intern - Darbību vadība

Responsibilities:

- Analysing the credit risk of our clients

- Carrying out established credit management and fraud prevention processes

- Using existing credit scoring models as well as being a part of developing new ones in collaboration with the IT-development/data science team, using innovative approaches

- Applying credit limit techniques and analysing the impact of the current ones, and if these would change

- Identify and specify areas where automation is possible

 

What we expect:

- Degree in accounting, finance, business administration, or mathematics

- Some experience and knowledge in accounting, finance, operations or business consulting - Previous working experience within the startup industry or finance industry an advantage

- Detail oriented, efficient, creative & a structured personality

- Excellent oral and written communication skills in English and German required, French an advantage

- Always ready to go the extra mile

- Entrepreneurial mindset, innovative ideas and a true passion for startups

- Independent in your way of working and the ability to work under pressure

- Pleasant personality with a hands-on mentality

- Must have valid working permission in the EU

    Darba veids:
    Prakse

          Data Science con Python   
Il libro più completo sulla disciplina più promettente del momento e il linguaggio di programmazione più mainstream.
          EECS professor David Culler named interim dean for data sciences   
He will begin his new role on July 1 for a two-year term as interim dean for the newly created Division of Data Sciences
          Data Science Apprentice - Predictive Science - United States   
In many ways this is like you are starting your own venture as a freelance data scientist owning your own business....
From Predictive Science - Sat, 11 Mar 2017 08:05:32 GMT - View all United States jobs
          You Can Get A Data Analytics Job Without A Masters In Data Science   

You Can Get A Data Analytics Job Without A Masters In Data Science

A lot of people reach out to me. They needs jobs. But they’re asking about school. [Link to Full Article]

          SDS 065: Learning Data Science Through Consulting Firms by SuperDataScience   

SDS 065: Learning Data Science Through Consulting Firms by SuperDataScience

Stream SDS 065: Learning Data Science Through Consulting Firms by SuperDataScience from desktop or your mobile device. [Link to Full Article]

          Combining Data and Behavioral Science to Reduce Water Shut Offs   

Combining Data and Behavioral Science to Reduce Water Shut Offs

However, the vast amounts of data collected by cities has opened up new analyses that combine data science and behavioral science and enable …

Link to Full Article

[Link to Full Article]
          Portfolio Manager, Data Science   

Portfolio Manager, Data Science

Financial Services heavy weight on a global search for a Data Science Portfolio Manager in sunny Brisbane! [Link to Full Article]

          News Corp Acquires Bengaluru Based GyanMatrix; Rebrands To NTS   

News Corp Acquires Bengaluru Based GyanMatrix; Rebrands To NTS

It offers products in categories such as mobile, web and data engineering, and data science and analytics. [Link to Full Article]

          How Foursquare Quietly Became A Data-Science Powerhouse   

How Foursquare Quietly Became A Data-Science Powerhouse

“Our data scientists take the approach that a hedge fund manager would—big picture, what are we seeing in terms of trends to locations?” Moran said. [Link to Full Article]

          Datameer Adds Google AI Software to BI Platform Based on Hadoop   

Datameer Adds Google AI Software to BI Platform Based on Hadoop

Rather than being dependent on data scientists to take advantage of deep learning algorithms, Morrell says TensorFlow has been embedded into the …

Link to Full Article

[Link to Full Article]
          TensorFlow to Hadoop By Way of Datameer   

TensorFlow to Hadoop By Way of Datameer

SmartAI, which is still in technical preview, is not helping data scientists to create the models. They will still do that in their favorite coding environment. [Link to Full Article]

          OSDC Cloud-Based Data Hosting   

Opensciencedatacloud (OSDC) enables researchers to upload, store, share, and analyze scientific datasets on the terabyte and petabyte scales, with the purpose of improving the reproducibility and transparency of research. Features include:

  • Public Data Commons – hosted repository of publicly-available (OA) datasets
  • Specific clouds available to researchers depending on whether they are working with secure or unsecure data
  • Hosted datasets for large projects
  • Training in data science for students via the PIRE (Partnerships for International Research and Education) program, sponsored by the NSF

For researchers interested in contributing data, read the OSDC page on Resources Availability and Allocation.


          New OA Journal Accepting Submissions: Data Science and Engineering   

Data Science and Engineering is a new OA journal from Springer covering the fields of data science and engineering, with a particular focus on the theory and practice of “big” data extraction and management. Features include:

  • Interdisciplinary with regard to approaches to analyzing big data
  • Peer reviewed
  • Rapid publication
  • Accepts submissions for original research, briefs, and critical reviews
  • Published under Creative Commons Attribution License (CC BY 2.0)

Article-processing charges are sponsored; therefore, authors do not pay any fees.


          Am I a data scientist?   
Last night I gave a very short talk (less than 5 minutes) at the Melbourne Analytics Charity Christmas Gala, a combined event of the Statistical Society of Australia, Data Science Melbourne, Big Data Analytics and Melbourne Users of R Network. This is (roughly) what I said.Statisticians seem to go through regular periods of existential crisis as they worry about other groups of people who do data analysis. A common theme is: all these other people (usually computer scientists) are doing our job!
          Am I a data scientist?   
Talk given at the Melbourne Analytics Charity Christmas Gala, a combined event of the Statistical Society of Australia, Data Science Melbourne, Big Data Analytics and Melbourne Users of R Network. This is (roughly) what I said.Statisticians seem to go through regular periods of existential crisis as they worry about other groups of people who do data analysis. A common theme is: all these other people (usually computer scientists) are doing our job!
          Jobs at Amazon   
I do not normally post job adverts, but this was very specifically targeted to “applied time series candidates” so I thought it might be of sufficient interest to readers of this blog.Here is an excerpt from an email I received from someone at Amazon: Amazon is aggressively recruiting in the data sciences, and we have found that applied economists compare quite favorably with the machine learning specialists and statisticians that are sometimes recruited for such roles.
          Connect with local employers   
I keep telling students that there are lots of jobs in data science (including statistics), and they often tell me they can’t find them advertised. As usual, you do have to do some networking, and one of the best ways of doing it is via a Data Science Meetup. Many cities now have them including Melbourne, Sydney, London, etc. It is the perfect opportunity to meet with local employers, many of which are hiring due to the huge expansion in the use of data analysis in business (aka business analytics).
          Data science market places   
Some new websites are being established offering “market places” for data science. Two I’ve come across recently are Experfy and SnapAnalytx.Experfy provides a way for companies to find statisticians and other data scientists, either for short-term consultancies, or to fill full-time positions. They describe their “providers” as “Data Engineers, Data Scientists, Data Mining Experts, Data Analyst/Modelers, Big Data Solutions Architects, Visualization Designers, Statisticians, Applied Physicists, Mathematicians, Econometricians and Bioinformaticians.” Data scientists can sign up as “Providers”, companies can sign up as “Clients”.
          New jobs in business analytics at Monash   
We have an exciting new initiative at Monash University with some new positions in business analytics. This is part of a plan to strengthen our research and teaching in the data science/computational statistics area. We are hoping to make multiple appointments, at junior and senior levels. These are five-year appointments, but we hope that the positions will continue after that if we can secure suitable funding.What is business analytics? You can think of “business analytics” as the application of data analysis to business problems.
          New in forecast 5.0   
Last week, version 5.0 of the forecast package for R was released. There are a few new functions and changes made to the package, which is why I increased the version number to 5.0. Thanks to Earo Wang for helping with this new version. Handling missing values and outliers Data cleaning is often the first step that data scientists and analysts take to ensure statistical modelling is supported by good data.
          Kaggle on TV   
It is good to see forecasting algorithms getting some mainstream exposure on ABC Catalyst. Update: See also this great talk by Jeremy Howard, a data scientist from Melbourne and now part of Kaggle.
          Social networking for researchers   
It would be nice to have a place to share ideas, links, comments in a very informal way with others involved in research in statistical methodology and data science. CrossValidated.com is great for specific questions, but is not suitable for commenting on papers or sharing ideas and links.Although I have a facebook account, this seems the wrong place to carry out a research discussion because my family and friends are generally not interested, and it is messy to restrict posts to groups of friends.
          Amazon, Google Race to Get Your DNA Into the Cloud   

 

Amazon is in a race against Google to store data on human DNA, seeking both bragging rights in helping scientists make new medical discoveries and market share in a business that may be worth $1 billion a year by 2018.

Academic institutions and healthcare companies are picking sides between their cloud computing offerings - Google Genomics or Amazon Web Services - spurring the two to one-up each other as they win high-profile genomics business, according to interviews with researchers, industry consultants and analysts.

That growth is being propelled by, among other forces, the push for personalized medicine, which aims to base treatments on a patient's DNA profile. Making that a reality will require enormous quantities of data to reveal how particular genetic profiles respond to different treatments.

Already, universities and drug manufacturers are embarking on projects to sequence the genomes of hundreds of thousands of people. The human genome is the full complement of DNA, or genetic material, a copy of which is found in nearly every cell of the body.

Clients view Google and Amazon as doing a better job storing genomics data than they can do using their own computers, keeping it secure, controlling costs and allowing it to be easily shared.

 The cloud companies are going beyond storage to offer analytical functions that let scientists make sense of DNA data. Microsoft and IBM are also competing for a slice of the market.

The "cloud" refers to data or software that physically resides in a server and is accessible via the internet, which allows users to access it without downloading it to their own computer.

Now an estimated $100 million to $300 million business globally, the cloud genomics market is expected to grow to $1 billion by 2018, said research analyst Daniel Ives of investment bank FBR Capital. By that time, the entire cloud market should have $50 billion to $75 billion in annual revenue, up from about $30 billion now.

"The cloud is the entire future of this field," Craig Venter, who led a private effort to sequence the human genome in the 1990s, said in an interview. His new company, San Diego-based Human Longevity Inc, recently tried to import genomic data from servers at the J. Craig Venter Institute in Rockville, Maryland.

The transmission was so slow, scientists had to resort to sending disks and thumb drives by FedEx and human messengers, or "sneakernet," he said. The company now uses Amazon Web Services.

So does a collaboration between Regeneron Pharmaceuticals Inc. and Pennsylvania-based Geisinger Health Systems to sequence 250,000 genomes. Raw DNA data is uploaded to Amazon's cloud, where software from privately-held DNAnexus assembles the millions of chunks into the full, 3-billion-letter long genome.

DNAnexus's algorithms then determine where an individual genome differs from the "reference" human genome, the company’s chief scientist Dr. David Shaywitz said, in hopes of identifying new drug targets.

HOSTING FOR FREE

Showing how important Google and Amazon view this business, and how they hope to use existing customers to lure future ones, each is hosting well-known genomics datasets for free.

Neither company discloses the amount of genomics data it holds, but based on interviews with analysts and genomic scientists, as well as the companies' own announcements of what customers they’ve won, Amazon Web Services may be bigger.

 Data from the "1000 Genomes Project," an international public-private effort that identified genetic variations found in at least 1 percent of humans, reside at both Amazon and Google "without charge," said Kathy Cravedi of the U.S. National Institutes of Health (NIH), one of the project's sponsors.


Other paying clients with a more specific focus are picking sides.

Google, for instance, won a project from the Autism Speaks foundation to collect and analyze the genomes of 10,000 affected children and their parents for clues to the genetic basis of autism.

Another customer is Tute Genomics, whose database of 8.5 billion human DNA variants can be searched for how frequently any given variant appears, what traits it's associated with and how people with a certain variant respond to particular drugs.

Amazon is hosting the Multiple Myeloma Foundation’s project to collect complete-genome sequences and other data from 1,000 patients to identify new drug targets. It also won the Alzheimer's Disease Sequencing Project, which has similar aims.

Amazon charges about $4 to $5 a month to store one full human genome, and Google about $3 to $5 a month. The companies also charge for data transfers or computing time, as when scientists run analytical software on stored data.

Amazon's database-analysis tool, Redshift, costs 25 cents an hour or $1,000 per terabyte per year, the company said. A terabyte is 1 trillion bytes, or 1,000 gigabytes, about enough to hold 300 hours of high-quality video.

GENETIC GOLD

Another part of the cloud services' pitch to would-be customers is that their analytic tools can fish out genetic gold - a drug target, say, or a DNA variant that strongly predicts disease risk - from a sea of data. Any discoveries made through such searches belong to the owners of the data.

"On the local university server it might take months to run a computationally-intense" analysis, said Alzheimer’s project leader Dr. Gerard Schellenberg of the University of Pennsylvania. "On Amazon, it's, 'how fast do you need it done?', and they do it."

Another selling point is security. Universities are "generally pretty porous," said Ryan Permeh, chief scientist at cybersecurity company Cylance Inc., of Irvine, California, and the security of federal government computers is "not at the top of the class."

While academic and pharmaceutical research projects are the biggest customers for genomics cloud services, they will be overtaken by clinical applications in the next 10 years, said Google Genomics director of engineering David Glazer.


Individual doctors will regularly access a cloud service to understand how a patient's genetic profile affects his risk of various diseases or his likely response to medication.

"We are at that transition point now," Glazer said.

Matt Wood, general manager for Data Science at Amazon Web Services, sees cloud demand in genomics now as "a perfect storm," as the amount of data being created, the need for collaboration and the move of genomics into clinical care accelerate.

Experts on DNA and data say without access to the cloud, modern genomics would grind to a halt.

Bioinformatics expert Dr. Atul Butte of the University of California, San Francisco, said that now, when researchers at different universities are jointly working on NIH and other genomic data, they don't have to figure out how to make their computers talk to each other. In March, NIH cleared the way for major research on the cloud when it began allowing scientists to upload important genomic data.

"My response was, it's about time," Butte said.
 
 Reuters

 


          A Dive Into Stack Overflow Jobs Search   

About two years ago, a significant event happened at Stack Overflow: a new system, named Providence, was released. Providence would allow us to tell which technologies a visitor is interested in, and measure the “fitness” between a visitor and a job. The release of Providence marked a stepping stone in Stack Overflow’s continuous effort to be “smarter” and invest in data science, and it was only the beginning.

The post A Dive Into Stack Overflow Jobs Search appeared first on Stack Overflow Blog.


          Software Engineer, .NET, Web, Data Science - RDM - Remote   
Elicit requirements from internal and external stakeholders. Facilitate information sessions with internal and external stakeholders.... $75,000 - $100,000 a year
From RDM - Wed, 28 Jun 2017 18:23:01 GMT - View all Remote jobs
          Data Scientist - Eversight - Palo Alto, CA   
Translate analytic insights into concrete, actionable recommendations for business or product improvement....
From Eversight - Sat, 03 Jun 2017 06:34:21 GMT - View all Palo Alto, CA jobs
          Data Scientist - Dstillery - New York, NY   
Plus strong professional experience in Machine Learning, Statistics, Operations Research or a related field....
From Dstillery - Wed, 07 Jun 2017 14:25:01 GMT - View all New York, NY jobs
          Principal Software Architect - SocialCode - San Francisco, CA   
You will work alongside fellow engineers, data scientists, and business and product leaders to ensure that our systems efficiently scale to support the...
From SocialCode - Tue, 23 May 2017 06:26:04 GMT - View all San Francisco, CA jobs
          IBM Advances Unified Governance, Data Science to Give Global Organizations Deeper Insights to Manage GDPR Readiness   
IBM (NYSE: IBM) today announced sweeping advances to its data governance and data scienc...
Journal quotidien finance innovation

          Data Scientist - 3M - Maplewood, MN   
This position will work closely with FP&A, Business Group finance teams, Treasury, Tax, Audit and Internal reporting teams to complete high impact projects....
From 3M - Wed, 29 Mar 2017 01:44:52 GMT - View all Maplewood, MN jobs
          Process Data Scientist (Woodbury, MN) - 3M - Woodbury, MN   
Implement relevant and valuable computational algorithms in software that support 3M businesses. Provide strong understanding of internal business segment...
From 3M - Tue, 07 Mar 2017 20:00:10 GMT - View all Woodbury, MN jobs
          Data Scientist/Modeler - Dearborn, MI   

          Senior Analyst, Predictive Modeling & Data Science - BMO Financial Group - Toronto, ON   
Lev. The Advanced Analytics & Journey Science group partners with internal Personal and Commercial Banking Canada partners, and various lines of business across...
From BMO Financial Group - Sat, 24 Jun 2017 00:46:45 GMT - View all Toronto, ON jobs
          Computer People: Graduate Data Scientist Job   
Benefits: Computer People: Graduate Data Scientist Job - Post-doc, Python, Statistics, £in line with market ratesbenefits package, Cambridge This software house certainly has much to boast about, founded by leading academics and along with a technology driven management team it is Cambridge
          Data Scientist - SME level - Praxis Engineering - Reston, VA   
No red tape. Ability to identify and/or develop business opportunities. Thorough knowledge of Agency business operations and associated processes....
From Praxis Engineering - Fri, 09 Jun 2017 07:13:27 GMT - View all Reston, VA jobs
          Data Scientist - Praxis Engineering - Reston, VA   
No red tape. Utilizing complex mathematical, statistical or other data-driven problem solving analysis to identify significant intelligence issues or trends in...
From Praxis Engineering - Fri, 09 Jun 2017 07:13:27 GMT - View all Reston, VA jobs
          Data Scientist - Mid - Praxis Engineering - Reston, VA   
No red tape. Conducting mathematical, statistical or other data-driven problem solving analysis to identify business operations or intelligence questions by...
From Praxis Engineering - Fri, 09 Jun 2017 07:13:26 GMT - View all Reston, VA jobs
          Sr Data Scientist - Praxis Engineering - Reston, VA   
No red tape. Ability to identify and/or develop business opportunities. Utilizing complex mathematical, statistical or other data-driven problem solving...
From Praxis Engineering - Fri, 09 Jun 2017 07:12:41 GMT - View all Reston, VA jobs
          Senior Data Scientist - Algorithm Experimentation - Netflix - Los Gatos, CA   
Experience with distributed analytic processing technologies (Hadoop, Hive, Pig, Presto, MapReduce, Spark)....
From Netflix - Wed, 29 Mar 2017 21:02:02 GMT - View all Los Gatos, CA jobs
          Data Scientist, IS&S Business Operations - Apple - Santa Clara Valley, CA   
Experience with Spark and/or Presto is highly desirable. Apple is searching for a highly-skilled data scientist to join the Analytics and Data Products team in...
From Apple - Fri, 16 Jun 2017 12:38:01 GMT - View all Santa Clara Valley, CA jobs
          Data Scientist, Platform Engineering  - Apple - Santa Clara Valley, CA   
Familiarity with Big Data tools like Spark, Presto, Hive etc. At Apple, we work every day to create products that enrich people’s lives....
From Apple - Thu, 08 Jun 2017 12:34:43 GMT - View all Santa Clara Valley, CA jobs
          Data Scientist - Under Armour - California   
Ideally, has experience with big data technologies like Spark, Hive, Presto, etc. As an established leader in performance and innovation, Under Armour Connected...
From Under Armour - Wed, 19 Apr 2017 16:15:18 GMT - View all California jobs
          Principal Modeler / Data Scientist - Noida - Risk Management Solutions - Noida, Uttar Pradesh   
GIS, Civil and Structural Engineering, Financial Engineering, Operations Research, Industrial Engineering, Applied Mathematics, Econometrics, Actuarial Science...
From Risk Management Solutions - Thu, 15 Jun 2017 22:14:18 GMT - View all Noida, Uttar Pradesh jobs
          Principal Modeler / Data Scientist - Noida - Risk Management Solutions (RMS) - Noida, Uttar Pradesh   
GIS, Civil and Structural Engineering, Financial Engineering, Operations Research, Industrial Engineering, Applied Mathematics, Econometrics, Actuarial Science...
From Risk Management Solutions (RMS) - Thu, 15 Jun 2017 20:53:33 GMT - View all Noida, Uttar Pradesh jobs
          The Ultimate Data Infrastructure Architect Bundle for $36   
From MongoDB to Apache Flume, This Comprehensive Bundle Will Have You Managing Data Like a Pro In No Time
Expires June 01, 2022 23:59 PST
Buy now and get 94% off

Learning ElasticSearch 5.0


KEY FEATURES

Learn how to use ElasticSearch in combination with the rest of the Elastic Stack to ship, parse, store, and analyze logs! You'll start by getting an understanding of what ElasticSearch is, what it's used for, and why it's important before being introduced to the new features of Elastic Search 5.0.

  • Access 35 lectures & 3 hours of content 24/7
  • Go through each of the fundamental concepts of ElasticSearch such as queries, indices, & aggregation
  • Add more power to your searches using filters, ranges, & more
  • See how ElasticSearch can be used w/ other components like LogStash, Kibana, & Beats
  • Build, test, & run your first LogStash pipeline to analyze Apache web logs

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Ethan Anthony is a San Francisco based Data Scientist who specializes in distributed data centric technologies. He is also the Founder of XResults, where the vision is to harness the power of data to innovate and deliver intuitive customer facing solutions, largely to non-technical professionals. Ethan has over 10 combined years of experience in cloud based technologies such as Amazon webservices and OpenStack, as well as the data centric technologies of Hadoop, Mahout, Spark and ElasticSearch. He began using ElasticSearch in 2011 and has since delivered solutions based on the Elastic Stack to a broad range of clientele. Ethan has also consulted worldwide, speaks fluent Mandarin Chinese and is insanely curious about human cognition, as related to cognitive dissonance.

Apache Spark 2 for Beginners


KEY FEATURES

Apache Spark is one of the most widely-used large-scale data processing engines and runs at extremely high speeds. It's a framework that has tools that are equally useful for app developers and data scientists. This book starts with the fundamentals of Spark 2 and covers the core data processing framework and API, installation, and application development setup.

  • Access 45 lectures & 5.5 hours of content 24/7
  • Learn the Spark programming model through real-world examples
  • Explore Spark SQL programming w/ DataFrames
  • Cover the charting & plotting features of Python in conjunction w/ Spark data processing
  • Discuss Spark's stream processing, machine learning, & graph processing libraries
  • Develop a real-world Spark application

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Rajanarayanan Thottuvaikkatumana, Raj, is a seasoned technologist with more than 23 years of software development experience at various multinational companies. He has lived and worked in India, Singapore, and the USA, and is presently based out of the UK. His experience includes architecting, designing, and developing software applications. He has worked on various technologies including major databases, application development platforms, web technologies, and big data technologies. Since 2000, he has been working mainly in Java related technologies, and does heavy-duty server-side programming in Java and Scala. He has worked on very highly concurrent, highly distributed, and high transaction volume systems. Currently he is building a next generation Hadoop YARN-based data processing platform and an application suite built with Spark using Scala.

Raj holds one master's degree in Mathematics, one master's degree in Computer Information Systems and has many certifications in ITIL and cloud computing to his credit. Raj is the author of Cassandra Design Patterns - Second Edition, published by Packt.

When not working on the assignments his day job demands, Raj is an avid listener to classical music and watches a lot of tennis.

Designing AWS Environments


KEY FEATURES

Amazon Web Services (AWS) provides trusted, cloud-based solutions to help businesses meet all of their needs. Running solutions in the AWS Cloud can help you (or your company) get applications up and running faster while providing the security needed to meet your compliance requirements. This course leaves no stone unturned in getting you up to speed with administering AWS.

  • Access 19 lectures & 2 hours of content 24/7
  • Familiarize yourself w/ the key capabilities to architect & host apps, websites, & services on AWS
  • Explore the available options for virtual instances & demonstrate launching & connecting to them
  • Design & deploy networking & hosting solutions for large deployments
  • Focus on security & important elements of scalability & high availability

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Wayde Gilchrist started moving customers of his IT consulting business into the cloud and away from traditional hosting environments in 2010. In addition to consulting, he delivers AWS training for Fortune 500 companies, government agencies, and international consulting firms. When he is not out visiting customers, he is delivering training virtually from his home in Florida.

Learning MongoDB


KEY FEATURES

Businesses today have access to more data than ever before, and a key challenge is ensuring that data can be easily accessed and used efficiently. MongoDB makes it possible to store and process large sets of data in a ways that drive up business value. Learning MongoDB will give you the flexibility of unstructured storage, combined with robust querying and post processing functionality, making you an asset to enterprise Big Data needs.

  • Access 64 lectures & 40 hours of content 24/7
  • Master data management, queries, post processing, & essential enterprise redundancy requirements
  • Explore advanced data analysis using both MapReduce & the MongoDB aggregation framework
  • Delve into SSL security & programmatic access using various languages
  • Learn about MongoDB's built-in redundancy & scale features, replica sets, & sharding

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Daniel Watrous is a 15-year veteran of designing web-enabled software. His focus on data store technologies spans relational databases, caching systems, and contemporary NoSQL stores. For the last six years, he has designed and deployed enterprise-scale MongoDB solutions in semiconductor manufacturing and information technology companies. He holds a degree in electrical engineering from the University of Utah, focusing on semiconductor physics and optoelectronics. He also completed an MBA from the Northwest Nazarene University. In his current position as senior cloud architect with Hewlett Packard, he focuses on highly scalable cloud-native software systems.

Learning Hadoop 2


KEY FEATURES

Hadoop emerged in response to the proliferation of masses and masses of data collected by organizations, offering a strong solution to store, process, and analyze what has commonly become known as Big Data. It comprises a comprehensive stack of components designed to enable these tasks on a distributed scale, across multiple servers and thousand of machines. In this course, you'll learn Hadoop 2, introducing yourself to the powerful system synonymous with Big Data.

  • Access 19 lectures & 1.5 hours of content 24/7
  • Get an overview of the Hadoop component ecosystem, including HDFS, Sqoop, Flume, YARN, MapReduce, Pig, & Hive
  • Install & configure a Hadoop environment
  • Explore Hue, the graphical user interface of Hadoop
  • Discover HDFS to import & export data, both manually & automatically
  • Run computations using MapReduce & get to grips working w/ Hadoop's scripting language, Pig
  • Siphon data from HDFS into Hive & demonstrate how it can be used to structure & query data sets

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Randal Scott King is the Managing Partner of Brilliant Data, a consulting firm specialized in data analytics. In his 16 years of consulting, Scott has amassed an impressive list of clientele from mid-market leaders to Fortune 500 household names. Scott lives just outside Atlanta, GA, with his children.

ElasticSearch 5.x Cookbook eBook


KEY FEATURES

ElasticSearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. Through this ebook, you'll be guided through comprehensive recipes covering what's new in ElasticSearch 5.x as you create complex queries and analytics. By the end, you'll have an in-depth knowledge of how to implement the ElasticSearch architecture and be able to manage data efficiently and effectively.

  • Access 696 pages of content 24/7
  • Perform index mapping, aggregation, & scripting
  • Explore the modules of Cluster & Node monitoring
  • Understand how to install Kibana to monitor a cluster & extend Kibana for plugins
  • Integrate your Java, Scala, Python, & Big Data apps w/ ElasticSearch

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Alberto Paro is an engineer, project manager, and software developer. He currently works as freelance trainer/consultant on big data technologies and NoSQL solutions. He loves to study emerging solutions and applications mainly related to big data processing, NoSQL, natural language processing, and neural networks. He began programming in BASIC on a Sinclair Spectrum when he was eight years old, and to date, has collected a lot of experience using different operating systems, applications, and programming languages.

In 2000, he graduated in computer science engineering from Politecnico di Milano with a thesis on designing multiuser and multidevice web applications. He assisted professors at the university for about a year. He then came in contact with The Net Planet Company and loved their innovative ideas; he started working on knowledge management solutions and advanced data mining products. In summer 2014, his company was acquired by a big data technologies company, where he worked until the end of 2015 mainly using Scala and Python on state-of-the-art big data software (Spark, Akka, Cassandra, and YARN). In 2013, he started freelancing as a consultant for big data, machine learning, Elasticsearch and other NoSQL products. He has created or helped to develop big data solutions for business intelligence, financial, and banking companies all over the world. A lot of his time is spent teaching how to efficiently use big data solutions (mainly Apache Spark), NoSql datastores (Elasticsearch, HBase, and Accumulo) and related technologies (Scala, Akka, and Playframework). He is often called to present at big data or Scala events. He is an evangelist on Scala and Scala.js (the transcompiler from Scala to JavaScript).

In his spare time, when he is not playing with his children, he likes to work on open source projects. When he was in high school, he started contributing to projects related to the GNOME environment (gtkmm). One of his preferred programming languages is Python, and he wrote one of the first NoSQL backends on Django for MongoDB (Django-MongoDBengine). In 2010, he began using Elasticsearch to provide search capabilities to some Django e-commerce sites and developed PyES (a Pythonic client for Elasticsearch), as well as the initial part of the Elasticsearch MongoDB river. He is the author of Elasticsearch Cookbook as well as a technical reviewer of Elasticsearch Server-Second Edition, Learning Scala Web Development, and the video course, Building a Search Server with Elasticsearch, all of which are published by Packt Publishing.

Fast Data Processing with Spark 2 eBook


KEY FEATURES

Compared to Hadoop, Spark is a significantly more simple way to process Big Data at speed. It is increasing in popularity with data analysts and engineers everywhere, and in this course you'll learn how to use Spark with minimum fuss. Starting with the fundamentals, this ebook will help you take your Big Data analytical skills to the next level.

  • Access 274 pages of content 24/7
  • Get to grips w/ some simple APIs before investigating machine learning & graph processing
  • Learn how to use the Spark shell
  • Load data & build & run your own Spark applications
  • Discover how to manipulate RDD
  • Understand useful machine learning algorithms w/ the help of Spark MLlib & R

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Krishna Sankar is a Senior Specialist—AI Data Scientist with Volvo Cars focusing on Autonomous Vehicles. His earlier stints include Chief Data Scientist at http://cadenttech.tv/, Principal Architect/Data Scientist at Tata America Intl. Corp., Director of Data Science at a bioinformatics startup, and as a Distinguished Engineer at Cisco. He has been speaking at various conferences including ML tutorials at Strata SJC and London 2016, Spark Summit, Strata-Spark Camp, OSCON, PyCon, and PyData, writes about Robots Rules of Order, Big Data Analytics—Best of the Worst, predicting NFL, Spark, Data Science, Machine Learning, Social Media Analysis as well as has been a guest lecturer at the Naval Postgraduate School. His occasional blogs can be found at https://doubleclix.wordpress.com/. His other passion is flying drones (working towards Drone Pilot License (FAA UAS Pilot) and Lego Robotics—you will find him at the St.Louis FLL World Competition as Robots Design Judge.

MongoDB Cookbook: Second Edition eBook


KEY FEATURES

MongoDB is a high-performance, feature-rich, NoSQL database that forms the backbone of the systems that power many organizations. Packed with easy-to-use features that have become essential for a variety of software professionals, MongoDB is a vital technology to learn for any aspiring data scientist or systems engineer. This cookbook contains many solutions to the everyday challenges of MongoDB, as well as guidance on effective techniques to extend your skills and capabilities.

  • Access 274 pages of content 24/7
  • Initialize the server in three different modes w/ various configurations
  • Get introduced to programming language drivers in Java & Python
  • Learn advanced query operations, monitoring, & backup using MMS
  • Find recipes on cloud deployment, including how to work w/ Docker containers along MongoDB

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Amol Nayak is a MongoDB certified developer and has been working as a developer for over 8 years. He is currently employed with a leading financial data provider, working on cutting-edge technologies. He has used MongoDB as a database for various systems at his current and previous workplaces to support enormous data volumes. He is an open source enthusiast and supports it by contributing to open source frameworks and promoting them. He has made contributions to the Spring Integration project, and his contributions are the adapters for JPA, XQuery, MongoDB, Push notifications to mobile devices, and Amazon Web Services (AWS). He has also made some contributions to the Spring Data MongoDB project. Apart from technology, he is passionate about motor sports and is a race official at Buddh International Circuit, India, for various motor sports events. Earlier, he was the author of Instant MongoDB, Packt Publishing.

Cyrus Dasadia always liked tinkering with open source projects since 1996. He has been working as a Linux system administrator and part-time programmer for over a decade. He works at InMobi, where he loves designing tools and platforms. His love for MongoDB started in 2013, when he was amazed by its ease of use and stability. Since then, almost all of his projects are written with MongoDB as the primary backend. Cyrus is also the creator of an open source alert management system called CitoEngine. He likes spending his spare time trying to reverse engineer software, playing computer games, or increasing his silliness quotient by watching reruns of Monty Python.

Learning Apache Kafka: Second Edition eBook


KEY FEATURES

Apache Kafka is simple describe at a high level bust has an immense amount of technical detail when you dig deeper. This step-by-step, practical guide will help you take advantage of the power of Kafka to handle hundreds of megabytes of messages per second from multiple clients.

  • Access 120 pages of content 24/7
  • Set up Kafka clusters
  • Understand basic blocks like producer, broker, & consumer blocks
  • Explore additional settings & configuration changes to achieve more complex goals
  • Learn how Kafka is designed internally & what configurations make it most effective
  • Discover how Kafka works w/ other tools like Hadoop, Storm, & more

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Nishant Garg has over 14 years of software architecture and development experience in various technologies, such as Java Enterprise Edition, SOA, Spring, Hadoop, Hive, Flume, Sqoop, Oozie, Spark, Shark, YARN, Impala, Kafka, Storm, Solr/Lucene, NoSQL databases (such as HBase, Cassandra, and MongoDB), and MPP databases (such as GreenPlum).

He received his MS in software systems from the Birla Institute of Technology and Science, Pilani, India, and is currently working as a technical architect for the Big Data R&D Group with Impetus Infotech Pvt. Ltd. Previously, Nishant has enjoyed working with some of the most recognizable names in IT services and financial industries, employing full software life cycle methodologies such as Agile and SCRUM.

Nishant has also undertaken many speaking engagements on big data technologies and is also the author of HBase Essestials, Packt Publishing.

Apache Flume: Distributed Log Collection for Hadoop: Second Edition eBook


KEY FEATURES

Apache Flume is a distributed, reliable, and available service used to efficiently collect, aggregate, and move large amounts of log data. It's used to stream logs from application servers to HDFS for ad hoc analysis. This ebook start with an architectural overview of Flume and its logical components, and pulls everything together into a real-world, end-to-end use case encompassing simple and advanced features.

  • Access 178 pages of content 24/7
  • Explore channels, sinks, & sink processors
  • Learn about sources & channels
  • Construct a series of Flume agents to dynamically transport your stream data & logs from your systems into Hadoop

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Steve Hoffman has 32 years of experience in software development, ranging from embedded software development to the design and implementation of large-scale, service-oriented, object-oriented systems. For the last 5 years, he has focused on infrastructure as code, including automated Hadoop and HBase implementations and data ingestion using Apache Flume. Steve holds a BS in computer engineering from the University of Illinois at Urbana-Champaign and an MS in computer science from DePaul University. He is currently a senior principal engineer at Orbitz Worldwide (http://orbitz.com/).

          Complete Data Science Certification Training Bundle for $49   
Learn What You Need to Know to Break Into a Lucrative New Data Science Career
Expires December 08, 2017 23:59 PST
Buy now and get 92% off

KEY FEATURES

There is currently a huge wave of demand for strong analytics professionals across a range of industries, and this bundle has been designed to give you all the conceptual and technical skills to succeed in this field. You'll get an in-depth introduction to R programming, Hadoop, Python, and Tableau - some of the most important tools for today's data scientists.

  • Access over 85 hours of high-quality content 24/7
  • Understand data mining, exploration, visualization, & hypothesis testing
  • Master the R programming language, R-studio, & R packages
  • Learn the various types of apply functions including DPYR
  • Explore statistical concepts like linear & logistic regression, cluster analysis, & forecasting
  • Supercharge your analytics career by learning powerful new Excel skills

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: 12 months
  • Access options: web streaming, mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

The online courses at Certs School give folks the chance to throw their careers into overdrive without ever leaving their cubicle. Designed to let students learn at their own pace, the courses give people the chance to learn everything from analyzing big data to using business tools such as Salesforce. Every course is designed by industry insiders with years of experience. For more details on this course and instructor, click here.

          Machine Learning and Data Science eBook and Course Bundle for $34   
A Complete Library On Modern Data Tools & Techniques That Can Give You A Major Career Boost
Expires April 30, 2022 23:59 PST
Buy now and get 92% off

Learning Ansible 2: Second Edition eBook


KEY FEATURES

Ansible is an open source automation platform that assists organizations with tasks such as configuration management, application deployment, orchestration, and task automation. In this book, you'll learn about the fundamentals and practical aspects of Ansible 2, getting accustomed to new features and learning how to integrate with cloud platforms like Amazon Web Services. By the end, you'll be able to leverage Ansible parameters to expedite tasks for your organization. Or yourself.

  • Access 240 pages of content 24/7
  • Set up Ansible 2 & an Ansible 2 project in a future-proof way
  • Perform basic operations w/ Ansible 2 such as creating, copying, moving, changing, & deleting files
  • Deploy complete cloud environments using Ansible 2 on AWS & DigitalOcean
  • Explore complex operations w/ Ansible 2
  • Develop & test Ansible playbooks
  • Write a custom module & test it

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Practical DevOps eBook


KEY FEATURES

DevOps is a practical field that focuses on delivering business value as efficiently as possible. DevOps encompasses all the flows from code through testing environments to production environments, stressing cooperation between different roles and how they can work together more closely. Through this book, you'll learn how DevOps affects architecture, starting by creating a sample enterprise Java application that you will continue to work with throughout the following chapters.

  • Access 240 pages of content 24/7
  • Understand how all DevOps systems fit together to form a larger whole
  • Set up & familiarize yourself w/ all the tools you need to be efficient w/ DevOps
  • Design an application that is suitable for continuous deployment systems
  • Store & manage your code effectively using different options such as Git, Gerrit, & Gitlab
  • Configure a job to build a sample CRUD application
  • Test the code using automated regression testing w/ Jenkins Selenium
  • Deploy your code using tools such as Puppet, Ansible, Palletops, Chef, & Vagrant
  • Monitor the health of your code w/ Nagios, Munin, & Graphite

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

DevOps Automation Cookbook eBook


KEY FEATURES

There has been a recent explosion in tools that allow you to redefine the delivery of infrastructure and applications, using a combination of automation and testing to deliver continuous deployment. This book shows you how to use some of the newest and most exciting tools to revolutionize the way you deliver applications and software. By tackling real-world issues, you'll be guided through a huge variety of tools.

  • Access 334 pages of content 24/7
  • Manage, use, & work w/ code in the Git version management system
  • Create hosts automatically using a simple combination of TFTP, DHCP, & pre-seeds
  • Implement virtual hosts using the ubiquitous VMware ESXi hypervisor
  • Control configuration using Ansible
  • Develop powerful, consistent, & portable containers using Docker
  • Track trends, discover data, & monitor key systems using InfluxDB, syslog, & Sensu
  • Deal efficiently w/ powerful cloud infrastructures using AWS Infrastructure & the Heroku Platform as services

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Python Machine Learning eBook


KEY FEATURES

Machine learning is transforming the way businesses operate, and being able to understand trends and patterns in complex data is becoming critical for success. Python can help you deliver key insights into your data by running unique algorithms and statistical models. Covering a wide range of powerful Python libraries, this book will get you up to speed with machine learning.

  • Access 454 pages of content 24/7
  • Find out how different machine learning techniques can be used to answer different data analysis questions
  • Learn how to build neural networks using Python libraries & tools such as Keras & Theano
  • Write clean & elegant Python code to optimize the strength of machine learning algorithms
  • Discover how to embed your machine learning model in a web application
  • Predict continuous target outcomes using regression analysis
  • Uncover hidden patterns & structures in data w/ clustering

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Mastering Python for Data Science eBook


KEY FEATURES

The Python programming language, beyond having conquered the scientific community in the last decade, is now an indispensable tool for data scientists. Using Python will offer you a fast, reliable, cross-platform, and mature environment for data analysis, machine learning, and algorithmic problem solving. This comprehensive guide will help you move beyond the hype and transcend the theory by providing you with a hands-on, advanced study of data science.

  • Access 294 pages of content 24/7
  • Manage data & perform linear algebra in Python
  • Derive inferences from the analysis by performing inferential statistics
  • Solve data science problems in Python
  • Create high-end visualizations using Python
  • Evaluate & apply the linear regression technique to estimate the relationships among variables
  • Build recommendation engines w/ the various collaborative filtering algorithms
  • Apply ensemble methods to improve your predictions

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Practical Data Analysis eBook


KEY FEATURES

Data analysis is more important in business than ever and data scientists are getting paid the big bucks to help companies make better informed decisions. This book explains basic data algorithms using hands-on machine learning techniques. You'll perform data-driven innovation processing for several types of data such as text, images, social network graphs, documents, and more.

  • Access 338 pages of content 24/7
  • Acquire, format, & visualize your data
  • Build an image-similarity search engine
  • Generate meaningful visualizations that anyone can understand
  • Get started w/ analyzing social network graphs
  • Find out how to implement sentiment text analysis
  • Install data analysis tools such as Pandas, MongoDB, & Apache Spark
  • Implement machine learning algorithms such as classification or forecasting

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Data Mining with Python


KEY FEATURES

Every business wants to gain insights from data to make more informed decisions. Data mining provides a way of finding these insights, and Python is one of the most popular languages with which to perform it. In this course, you will discover the key concepts of data mining and learn how to apply different techniques to gain insight to real-world data. By course's end, you'll have a valuable skill that companies are clamoring to hire for.

  • Access 21 lectures & 2 hours of content 24/7
  • Discover data mining techniques & the Python libraries used for data mining
  • Tackle notorious data mining problems to get a concrete understanding of these techniques
  • Understand the process of cleaning data & the steps involved in filtering out noise
  • Build an intelligent application that makes predictions from data
  • Learn about classification & regression techniques like logistic regression, k-NN classifier, & mroe
  • Predict house prices & the number of TV show viewers

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Saimadhu Polamuri is a data science educator and the founder of Data Aspirant, a Data Science portal for beginners. He has 3 years of experience in data mining and 5 years of experience in Python. He is also interested in big data technologies such as Hadoop, Pig, and Spark. He has a good command of the R programming language and Matlab. He has a rudimentary understanding of Cpp Computer vision library (opencv) and big data technologies.

Python Machine Learning Projects


KEY FEATURES

Machine learning gives you extremely powerful insights into data, and has become so ubiquitous you see it nearly constantly while you browse the internet without even knowing it. Implementations of machine learning are as diverse as recommendation systems to self-driving cars. In this course, you'll be introduced to a unique blend of projects that will teach you what machine learning is all about and how you can use Python to create machine learning projects.

  • Access 26 lectures & 3 hours of content 24/7
  • Work on six independent projects to help you master machine learning in Python
  • Cover concepts such as classification, regression, clustering, & more
  • Apply various machine learning algorithms
  • Master Python's packages & libraries to facilitate computation
  • Implement your own machine learning models

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Alexander T. Combs is an experienced data scientist, strategist, and developer with a background in financial data extraction, natural language processing and generation, and quantitative and statistical modeling. He is currently a full-time lead instructor for a data science immersive program in New York City.

          Big Data and Hadoop Analytics Certification Bundle for $59   
Develop Hard Analytical Skills with Hadoop, Python, & Excel to Take Your Career to the Next Level
Expires October 07, 2017 23:59 PST
Buy now and get 92% off

KEY FEATURES

The business world runs on data these days, and it's the people who know how to make data-driven business decisions who are getting ahead. You can become one of those people after this 3-course bundle diving into the science and best business practices of working with mass amounts of data and real-time analytics. You'll explore the basics of Big Data, including one of the most popular tools, Hadoop, and learn to perform data science and business analytics with Python. By course's end, you'll have a nuanced understanding of the economic implications of data and how best to work with it to make informed decisions.

  • Access 3 comprehensive courses 24/7
  • Interpret the processes that go into handling huge volumes of data in real-time analytics
  • Learn Hadoop components like HDFS & MapReduce
  • Use Microsoft Excel to learn analytical concepts & hard skills
  • Explore the various Python libraries & tools used in data analytics
  • Perform data mining, wrangling, website scraping, web app building, data engineering, & more w/ Python
  • Write maintainable, scalable, robust code w/ Python

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: 180 days
  • Access options: web streaming, mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required
  • 32- or 64-bit operating system
  • 1 GB RAM

THE EXPERT

The online courses at Certs School give folks the chance to throw their careers into overdrive without ever leaving their cubicle. Designed to let students learn at their own pace, the courses give people the chance to learn everything from analyzing big data to using business tools such as Salesforce. Every course is designed by industry insiders with years of experience.

For more information on this course and instructor, click here.

          The Complete Introduction to R Programming Bundle for $49   
Learn to Apply R Programming Concepts for Effective Statistical Analysis & Big Pay-Days with 5 Courses & 3 E-Books
Expires February 06, 2022 23:59 PST
Buy now and get 91% off

Introduction to R Programming


KEY FEATURES

It seems like everything these days is driven by data, and statisticians and analysts across industries need to handle this data efficiently and tactfully. That's where R comes in, a powerful programming language that helps developers solve even the most complex data problems. Data scientists are in constant demand, and this extensive course will give you your first taste of R, enabling you to make statistical inferences and run programs that solve important data problems and turn heads.

  • Access 50 lectures & 3.5 hours of content 24/7
  • Get introduced to the R Studio & programming concepts like variables, vectors, arrays, loops, & matrices
  • Visualize data using R's base graphics
  • Learn the fundamentals of univariate & bivariate analysis, computing confidence intervals, interpreting p values, & working w/ statistical tests
  • Perform a full-scale data analysis project

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Selva Prabhakaran is a data scientist with a large E-commerce organization. In his 7 years of experience in data science, he has tackled complex real-world data science problems and delivered production-grade solutions for top multinational companies. Selva lives in Bangalore with his wife.

Learning R for Data Visualization


KEY FEATURES

R is one of the top rising tools in the analytics world. At its core, R is a statistical programming language that provides excellent tools for data mining and analysis, but it also has high-level graphics and machine learning capabilities. In this course, you'll learn how to harness those graphics techniques to represent complex sets of data in inspiring ways.

  • Access 31 lectures & 2 hours of content 24/7
  • Create basic plots like histograms, scatterplots & more
  • Import data in R from popular formats like CSV & Excel tables
  • Build a complete website to import & plot data
  • Learn how to the Shiny package to create fully-featured web pages directly from the R console

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Dr. Fabio Veronesi obtained a PhD in digital soil mapping from Cranfield University and then moved to Zurich, where he has been working for the past three years as a postdoc at ETH. There, he is working on Geoinformation topics, ranging from the application of mathematical techniques to the improvement of shaded relief representations to the use of machine learning to increase the accuracy of wind speed maps.

During his PhD, he needed to learn a programming language, because commercial applications did not provide the ideal platforms to pursue his research work. Since R has a series of packages created specifically for the application of statistical techniques to soil science, he decided to teach himself this powerful language. Since then, he has been using R every day for his work.

R Graph Essentials


KEY FEATURES

R is an ideal tool for organizing and graphing huge datasets, which is especially valuable to businesses that handle a lot of users and financial details on a daily basis. In this beginner's course to R graphics you'll get a solid grounding in the "base" graphics package in R, as well as more sophisticated packages like lattice and ggplot2. By course's end, you'll be ready to extend your R knowledge to more advanced levels.

  • Access 41 lectures & 2 hours of content 24/7
  • Understand the basic functionality of R graphs
  • Explore different types of graphs for visualizing different types of variables
  • Cover bivariate plots, time series, & high dimensional plots
  • Learn the tips & tricks to the most efficient ways of drawing various types of graphs

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Ehsan Karim is a statistics Ph.D. candidate at the University of British Columbia. His current research interest is in the methods that deal with time-dependent confounding in longitudinal observational studies. Additionally, he is interested in software implementation of methods related to causal inference. He has been a user of R for more than 15 years, and has more than 5 years of experience in teaching various statistical software packages.

Building Interactive Graphs with ggplot2 and Shiny


KEY FEATURES

Ggplot2 is one of R's most popular packages, and is an implementation of the grammar of graphic in R. In this course, you'll move beyond the basic, default graphics offered by R and shows you how to create more advanced and publication-ready plots. Soon enough, you'll be separating from other data job seekers with more sophisticated and interactive graphing abilities.

  • Access 40 lectures & 2 hours of content 24/7
  • Start making elegant & publication-ready plots by learning ggplot2
  • Build statistical plots layer by layer
  • Understand how to combine elements to make new graphics
  • Customize your graphs & make interactive web pages to present your work or analyze your data

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Christophe Ladroue has many years of experience in machine learning and statistics. Most of his work has been focused on developing tools for the analysis of biological data, from genetics to physiology, and his scientific publications span from medical journals to pure statistics. He has used and has been teaching R and ggplot2 for a few years and he occasionally posts related articles on his personal blog: http://chrisladroue.com/blog/

Learning Data with R Mining


KEY FEATURES

As the world continues to generate more and more data at a faster pace, the demand for data mining - generating new information by examining large databases - is growing rapidly as well. R is one of the top tools for data mining, and although data mining is a very broad topic, this course will get you up to speed with the mathematical basics. Once you've got that, you'll be able to directly apply your knowledge to working to solve real-world problems with R.

  • Access 30 lectures & 2.5 hours of content 24/7
  • Understand the mathematical basics of data mining & working w/ algorithms
  • Learn how to solve real-world data mining problems
  • Explore the different disciplines of data mining & the algorithms within them

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Romeo Kienzler is a Chief Data Scientist at the IBM Watson IoT Division. In his role, he is involved in international data mining and data science projects to ensure that clients get the most out of their data. He works as an Associate Professor for data mining at a Swiss University and his current research focus is on cloud-scale data mining using open source technologies including R, ApacheSpark, SystemML, ApacheFlink, and DeepLearning4J. He also contributes to various open source projects. Additionally, he is currently writing a chapter on Hyperledger for a book on Blockchain technologies.

R: Data Analysis and Visualization Book


KEY FEATURES

This enormous book will take you on a complete journey with the R programming language and its many applications to data analysis. Over five connected modules, you'll dive into statistical reasoning, graphing with R, data mining, the quantitative finance concepts of R, and its machine learning capabilities. Across these lessons, you'll have a fully-fledged, nuanced understanding of the many professional applications of R.

  • Access 1,738 pages 24/7
  • Describe & visualize the behavior of data & relationships between data
  • Handle missing data gracefully using multiple imputation
  • Create diverse types of bar charts using the default R functions
  • Familiarize yourself w/ algorithms written in R for spatial data mining, text mining, & more
  • Harness the power of R to build machine learning algorithms w/ real-world data science applications
  • Learn specialized machine learning techniques for text mining, big data, & more

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

R: Unleash Machine Learning Techniques Book


KEY FEATURES

Machine learning is one of the most important new frontiers in technology, and the R programming language is one of the best ways to optimize machine learning to solve a diverse range of challenges. Starting with a refresher in R, and then delving into real world problems, this course introduces you to an exciting new way to glean information and answer questions with R.

  • Access 1,123 pages 24/7
  • Implement R machine learning algorithms from scratch
  • Solve real-world problems using machine learning algorithms
  • Write reusable code & build complete machine learning systems from the ground up
  • Evaluate & improve the performance of machine learning models
  • Learn specialized machine learning techniques for text mining, social network data, big data, & more

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Data Visualization: Representing Information on Modern Web Book


KEY FEATURES

One of the most important things any good data science expert or analyst must know how to do is creative intelligent visualizations. Through this book, you'll learn how to effectively design and present large amounts of data to demonstrate key insights. You'll learn how to visualize with HTML5, JavaScript, and D3, three of the top technologies for creating interactive visualizations on the web.

  • Harness the power of D3 by building interactive & real-time data-driven web visualizations
  • Find out how to use JavaScript to create compelling visualizations of social data
  • Apply critical thinking to visualization designs & get intimate w/ your dataset to identify its potential visual characteristics
  • Explore the various features of HTML5 to design creative visualizations
  • Discover what data is available on Stack Overflow, Facebook, Twitty, & Google+

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

          Data Visualization with Tableau Desktop 9 Bundle for $21   
Get Familiar with One of the Premiere Data Visualization Tools & Break Into a Booming Industry
Expires January 30, 2022 23:59 PST
Buy now and get 91% off

Tableau Desktop 9 Qualified Associate Training


KEY FEATURES

Tableau 9 is one of the leading softwares for analyzing and presenting data in meaningful, efficient ways. An essential for data scientists and business analysts alike, having a proficiency in Tableau can separate you from the rest of the job-seeking pack. In this course, you'll explore the basics of Tableau into more intermediate topics as you prepare for the Tableau Desktop 9 Qualified Associate Certification exam.

  • Access 29 lectures & 4.5 hours of content 24/7
  • Develop different types of projects & reports in Tableau
  • Visualize & present different types of data in an insightful manner
  • Locate & clean messy data sets to present them more effectively
  • Discover the core concepts needed to start a career in Tableau

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

GreyCampus transforms careers through skills and certification training. We are a leading provider of training for working professionals in the areas of Project Management, Big Data, Data Science, Service Management and Quality Management. We offer live-online (instructor-led online), classroom (instructor-led classroom) and e-learning (online self-learning ) courses. Our growing suite of accredited courses is constantly upgraded to address the career enhancement goals of working professionals.

Learn Tableau Desktop 9 from Scratch for Data Science


KEY FEATURES

Dive into Tableau Desktop 9 and start building data visualizations and dashboards from scratch in this accelerated course. Put yourself at the forefront of the career-hunting workforce by learning this highly in-demand software!

  • Access 25 lectures & 1.5 hours of content 24/7
  • Install Tableau Desktop 9 on your system
  • Analyze & present data using Tableau Desktop 9
  • Import & summarize data
  • Perform data analysis, visualizations, & create dashboards to present data more efficiently

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Sunil Kumar Gupta is a developer, programmer, mentor and all round technology nut. With over 5.6 years of professional experience in the software development as Software Engineer and Technology Analyst, he understands what technology can do for us. He loves building applications using Object Orientated languages & Aspect Orientated programming and has a special love for Data Analysis, Data Science and Analytics.

Sunil is an Oracle Certified Professional, Java SE 6 Programmer and currently works as Technology Analyst at an IT company and he holds a Bachelor of Technology degree in Computer Science & Engineering.

Building Interactive Dashboards with Tableau


KEY FEATURES

The best way to impress an audience? With visuals. Even better? Interactive and actionable dashboards that audiences can use to really dig into data. Over this extensive course, you'll learn how businesses use Tableau Desktop 9 to reduce the time and technical acumen required to analyze and publish data. And, moreover, you'll learn how to actually use this powerful software to achieve similar results.

  • Access 40 lectures & 4.5 hours of content 24/7
  • Design some of the most common dashboard elements & assemble a complete dashboard
  • Use Tactical dashboards for visualizations that can depict progress
  • Increase dashboard interactivity by using Operational dashboards
  • Explore Analytical dashboards that can provide tools to effectively extract insights from data
  • Create a visualization using Ad-hoc dashboards that let you keep an eye on specific areas of interest
  • Cover the styling settings & publication options

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Tony Kau is a Tableau Desktop 8 Qualified Associate, and he is putting its power to use in his role as a reporting analyst for a Fortune 500 company. His analytical background spans a decade, during which he has used a variety of business intelligence software, though none were better than Tableau. His passion is efficiently leveraging data to inform strategic business decisions.

He holds a degree in Business Administration from the University of Oregon, and his background includes web design, programming, and financial analysis. He currently operates TrendExhaustion.com in his spare time.

          Machine Learning with Python Course and E-Book Bundle for $49   
4 E-Books & 5 Courses to Help You Perform Machine Learning Analytics & Command High-Paying Jobs
Expires January 22, 2022 23:59 PST
Buy now and get 92% off

Deep Learning with TensorFlow


KEY FEATURES

Deep learning is the intersection of statistics, artificial intelligence, and data to build accurate models, and is one of the most important new frontiers in technology. TensorFlow is one of the newest and most comprehensive libraries for implementing deep learning. Over this course you'll explore some of the possibilities of deep learning, and how to use TensorFlow to process data more effectively than ever.

  • Access 22 lectures & 2 hours of content 24/7
  • Discover the efficiency & simplicity of TensorFlow
  • Process & change how you look at data
  • Sift for hidden layers of abstraction using raw data
  • Train your machine to craft new features to make sense of deeper layers of data
  • Explore logistic regression, convolutional neural networks, recurrent neural networks, high level interfaces, & more

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Dan Van Boxel is a Data Scientist and Machine Learning Engineer with over 10 years of experience. He is most well-known for "Dan Does Data," a YouTube livestream demonstrating the power and pitfalls of neural networks. He has developed and applied novel statistical models of machine learning to topics such as accounting for truck traffic on highways, travel time outlier detection, and other areas. Dan has also published research and presented findings at the Transportation Research Board and other academic journals.

Beginning Python


KEY FEATURES

Python is the general purpose, multi-paradigm programming language that many professionals consider one of the best beginner language due its relative simplicity and applicability to many coding arenas. This course assumes no prior experience and helps you dive into Python fundamentals to come to grips with this popular language and start your coding odyssey off right.

  • Access 43 lectures & 4.5 hours of content 24/7
  • Learn variables, numbers, strings, & more essential components of Python
  • Make decisions on your programs w/ conditional statements
  • See how functions play a major role in providing a high degree of code recycling
  • Create modules in Python
  • Perform image manipulations w/ Python

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

William Fiset is a Mathematics and Computer Science Honors student at Mount Allison University with in interest in competitive programming. William has been a Python developer for +4 years, starting his early Python experience with game development. He owns a popular YouTube channel that teaches Python to beginners and the basics of game development.

Deep Learning with Python


KEY FEATURES

You've seen deep learning everywhere, but you may not have realized it. This discipline is one of the leading solutions for image recognition, speech recognition, object recognition, and language translation - basically the tools you see Google roll out every day. Over this course, you'll use Python to expand your deep learning knowledge to cover backpropagation and its ability to train neural networks.

  • Access 19 lectures & 2 hours of content 24/7
  • Train neural networks in deep learning & to understand automatic differentiation
  • Cover convolutional & recurrent neural networks
  • Build up the theory that covers supervised learning
  • Integrate search & image recognition, & object processing
  • Examine the performance of the sentimental analysis model

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Eder Santana is a PhD candidate in Electrical and Computer Engineering. His thesis topic is on Deep and Recurrent neural networks. After working for 3 years with Kernel Machines (SVMs, Information Theoretic Learning, and so on), Eder moved to the field of deep learning 2.5 years ago, when he started learning Theano, Caffe, and other machine learning frameworks. Now, Eder contributes to Keras: Deep Learning Library for Python. Besides deep learning, he also likes data visualization and teaching machine learning, either on online forums or as a teacher assistant.

Data Mining with Python


KEY FEATURES

Every business wants to gain insights from data to make more informed decisions. Data mining provides a way of finding these insights, and Python is one of the most popular languages with which to perform it. In this course, you will discover the key concepts of data mining and learn how to apply different techniques to gain insight to real-world data. By course's end, you'll have a valuable skill that companies are clamoring to hire for.

  • Access 21 lectures & 2 hours of content 24/7
  • Discover data mining techniques & the Python libraries used for data mining
  • Tackle notorious data mining problems to get a concrete understanding of these techniques
  • Understand the process of cleaning data & the steps involved in filtering out noise
  • Build an intelligent application that makes predictions from data
  • Learn about classification & regression techniques like logistic regression, k-NN classifier, & mroe
  • Predict house prices & the number of TV show viewers

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Saimadhu Polamuri is a data science educator and the founder of Data Aspirant, a Data Science portal for beginners. He has 3 years of experience in data mining and 5 years of experience in Python. He is also interested in big data technologies such as Hadoop, Pig, and Spark. He has a good command of the R programming language and Matlab. He has a rudimentary understanding of Cpp Computer vision library (opencv) and big data technologies.

Data Visualization: Representing Information on the Modern Web E-Book


KEY FEATURES

You see graphs all over the internet, the workplace, and your life - but do you ever stop to consider how all that data has been visualized? There are many tools and programs that data scientists use to visualize massive, disorganized sets of data. This e-book contains content from "Data Visualization: A Successful Design Process" by Andy Kirk, "Social Data Visualization with HTML5 and JavaScript" by Simon Timms," and "Learning d3.js Data Visualization, Second Edition" by Andrew Rininsland and Swizec Teller, all professionally curated to give you an easy-to-follow track to master data visualization in your own work.

  • Harness the power of D3 by building interactive & real-time data-driven web visualizations
  • Find out how to use JavaScript to create compelling visualizations of social data
  • Identify the purpose of your visualization & your project’s parameters to determine overriding design considerations across your project’s execution
  • Apply critical thinking to visualization design & get intimate with your dataset to identify its potential visual characteristics
  • Explore the various features of HTML5 to design creative visualizations
  • Discover what data is available on Stack Overflow, Facebook, Twitter, & Google+
  • Gain a solid understanding of the common D3 development idioms

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Python: Master the Art of Design Patterns E-Book


KEY FEATURES

Get a complete introduction to the many uses of Python in this curated e-book drawing content from "Python 3 Object-Oriented Programming, Second Edition" by Dusty Phillips, "Learning Python Design Patterns, Second Edition" by Chetan Giridhar, and "Mastering Python Design Patterns" by Sakis Kasampalis. Once you've got your feet wet, you'll focus in on the most common and useful design patterns from a Python perspective. By course's end, you'll have a complex understanding of designing patterns with Python, allowing you to develop better coding practices and create systems architectures.

  • Discover what design patterns are & how to apply them to writing Python
  • Implement objects in Python by creating classes & defining methods
  • Separate related objects into a taxonomy of classes & describe the properties & behaviors of those objects via the class interface
  • Understand when to use object-oriented features & when not to use them
  • Explore the design principles that form the basis of software design, such as loose coupling, the Hollywood principle, & the Open Close principle, & more
  • Use Structural Design Patterns to find out how objects & classes interact to build larger applications
  • Improve the productivity & code base of your application using Python design patterns
  • Secure an interface using the Proxy pattern

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Python: Deeper Insights into Machine Learning E-Book


KEY FEATURES

Machine learning and predictive analytics are becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Consequently, professionals who can run machine learning systems are in high demand and are commanding high salaries. This e-book will help you get a grip on advanced Python techniques to design machine learning systems.

  • Learn to write clean & elegant Python code that will optimize the strength of your algorithms
  • Uncover hidden patterns & structures in data w/ clustering
  • Improve accuracy & consistency of results using powerful feature engineering techniques
  • Gain practical & theoretical understanding of cutting-edge deep learning algorithms
  • Solve unique tasks by building models
  • Come to grips w/ the machine learning design process

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Python: Real-World Data Science E-Book


KEY FEATURES

Data science is one of the most in-demand fields today, and this e-book will guide you to becoming an efficient data science practitioner in Python. Once you've nailed down Python fundamentals, you'll learn how to perform data analysis with Python in an example-driven way. From there, you'll learn how to scale your knowledge to processing machine learning algorithms.

  • Implement objects in Python by creating classes & defining methods
  • Get acquainted w/ NumPy to use it w/ arrays & array-oriented computing in data analysis
  • Create effective visualizations for presenting your data using Matplotlib
  • Process & analyze data using the time series capabilities of pandas
  • Interact w/ different kind of database systems, such as file, disk format, Mongo, & Redis
  • Apply data mining concepts to real-world problems
  • Compute on big data, including real-time data from the Internet
  • Explore how to use different machine learning models to ask different questions of your data

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done–whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

Mastering Python


KEY FEATURES

Python is one of the most popular programming languages today, enabling developers to write efficient, reusable code. Here, you'll add Python to your repertoire, learning to set up your development environment, master use of its syntax, and much more. You'll soon understand why engineers at startups like Dropbox rely on Python: it makes the process of creating and iterating upon apps a piece of cake.

  • Master Python w/ 3 hours of content
  • Build Python packages to efficiently create reusable code
  • Creating tools & utility programs, and write code to automate software
  • Distribute computation tasks across multiple processors
  • Handle high I/O loads w/ asynchronous I/O for smoother performance
  • Utilize Python's metaprogramming & programmable syntax features
  • Implement unit testing to write better code, faster

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, it has published over 3,000 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done –whether that’s specific learning on an emerging technology or optimizing key skills in more established tools.

          Machine Learning & AI for Business Bundle for $39   
Discover Artificial Intelligence, Machine Learning & the R Programming Language in This 4-Course Bundle
Expires January 08, 2022 23:59 PST
Buy now and get 96% off

Artificial Intelligence & Machine Learning Training


KEY FEATURES

Artificial intelligence is the simulation of human intelligence through machines using computer systems. No, it's not just a thing of the movies, artificial intelligence systems are used today in medicine, robotics, remote sensors, and even in ATMs. This booming field of technology is one of the most exciting frontiers in science and this course will give you a solid introduction.

  • Access 91 lectures & 17 hours of content 24/7
  • Identify potential areas of applications of AI
  • Learn basic ideas & techniques in the design of intelligent computer systems
  • Discover statistical & decision-theoretic modeling paradigms
  • Understand how to build agents that exhibit reasoning & learning
  • Apply regression, classification, clustering, retrieval, recommender systems, & deep learning

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime access
  • Access options: web streaming, mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

An initiative by IIT IIM Graduates, eduCBA is a leading global provider of skill based education addressing the needs 500,000+ members across 40+ Countries. Our unique step-by-step, online learning model along with amazing 1700+ courses prepared by top notch professionals from the Industry help participants achieve their goals successfully. All our training programs are Job oriented skill based programs demanded by the Industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. Therefore we ensure that you can enroll 24 hours a day, seven days a week, 365 days a year. Learn at a time and place, and pace that is of your choice. Plan your study to suit your convenience and schedule. For more details on this course and instructor, click here.

Introduction to Machine Learning


KEY FEATURES

Machine learning is the science of getting computers to act without being explicitly programmed by harvesting data and using algorithms to determine outputs. You see this science in action all the time in spam filtering, search engines, and online ad space, and its uses are only expanding into more powerful applications like self-driving cars and speech recognition. In this crash course, you'll get an introduction to the mechanisms of algorithms and how they are used to drive machine learning.

  • Access 10 lectures & 2 hours of content 24/7
  • Learn machine learning concepts like K-nearest neighbor learning, non-symbolic machine learning, & more
  • Explore the science behind neural networks
  • Discover data mining & statistical pattern recognition
  • Gain practice implementing the most effective machine learning techniques

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime access
  • Access options: web streaming, mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

An initiative by IIT IIM Graduates, eduCBA is a leading global provider of skill based education addressing the needs 500,000+ members across 40+ Countries. Our unique step-by-step, online learning model along with amazing 1700+ courses prepared by top notch professionals from the Industry help participants achieve their goals successfully. All our training programs are Job oriented skill based programs demanded by the Industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. Therefore we ensure that you can enroll 24 hours a day, seven days a week, 365 days a year. Learn at a time and place, and pace that is of your choice. Plan your study to suit your convenience and schedule. For more details on this course and instructor, click here.

Data Science and Machine Learning with R (Part #1): Understanding R


KEY FEATURES

The R programming language has become the most widely use language for computational statistics, visualization, and data science - all essential tools in artificial intelligence and machine learning. Companies like Google, Facebook, and LinkedIn use R to perform business data analytics and develop algorithms that help operations move fluidly. In this introductory course, you'll learn the basics of R and get a better idea of how it can be applied.

  • Access 33 lectures & 6 hours of content 24/7
  • Install R studio & learn the basics of R functions
  • Understand data types in R, the recycling rule, special numerical values, & more
  • Explore parallel summary functions, logical conjunctions, & pasting strings together
  • Discover the evolution of business analytics

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime access
  • Access options: web streaming, mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

An initiative by IIT IIM Graduates, eduCBA is a leading global provider of skill based education addressing the needs 500,000+ members across 40+ Countries. Our unique step-by-step, online learning model along with amazing 1700+ courses prepared by top notch professionals from the Industry help participants achieve their goals successfully. All our training programs are Job oriented skill based programs demanded by the Industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. Therefore we ensure that you can enroll 24 hours a day, seven days a week, 365 days a year. Learn at a time and place, and pace that is of your choice. Plan your study to suit your convenience and schedule.

Data Science and Machine Learning with R (Part #2): Statistics with R


KEY FEATURES

Further your understanding of R with this immersive course on one of the most important tools for business analytics. You'll discuss data manipulation and statistics basics before diving into practical, functional use of R. By course's end, you'll have a strong understanding of R that you can leverage on your resume for high-paying analytics jobs.

  • Access 30 lectures & 6 hours of content 24/7
  • Understand variables, quantiles, data creation, & more
  • Calculate variance, covariance, & build scatter plots
  • Explore probability & distribution
  • Use practice problems to reinforce your learning

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime access
  • Access options: web streaming, mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: intermediate

Compatibility

  • Internet required

THE EXPERT

An initiative by IIT IIM Graduates, eduCBA is a leading global provider of skill based education addressing the needs 500,000+ members across 40+ Countries. Our unique step-by-step, online learning model along with amazing 1700+ courses prepared by top notch professionals from the Industry help participants achieve their goals successfully. All our training programs are Job oriented skill based programs demanded by the Industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. Therefore we ensure that you can enroll 24 hours a day, seven days a week, 365 days a year. Learn at a time and place, and pace that is of your choice. Plan your study to suit your convenience and schedule. For more details on this course and instructor, click here.

          The Advanced Guide to Deep Learning and Artificial Intelligence Bundle for $42   
This High-Intensity 14.5 Hour Bundle Will Help You Help Computers Address Some of Humanity's Biggest Problems
Expires November 28, 2021 23:59 PST
Buy now and get 91% off

Deep Learning: Convolutional Neural Networks in Python


KEY FEATURES

In this course, intended to expand upon your knowledge of neural networks and deep learning, you'll harness these concepts for computer vision using convolutional neural networks. Going in-depth on the concept of convolution, you'll discover its wide range of applications, from generating image effects to modeling artificial organs.

  • Access 25 lectures & 3 hours of content 24/7
  • Explore the StreetView House Number (SVHN) dataset using convolutional neural networks (CNNs)
  • Build convolutional filters that can be applied to audio or imaging
  • Extend deep neural networks w/ just a few functions
  • Test CNNs written in both Theano & TensorFlow
Note: we strongly recommend taking The Deep Learning & Artificial Intelligence Introductory Bundle before this course.

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but you must have some knowledge of calculus, linear algebra, probability, Python, Numpy, and be able to write a feedforward neural network in Theano and TensorFlow.
  • All code for this course is available for download here, in the directory cnn_class

Compatibility

  • Internet required

THE EXPERT

The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master's thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.

He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.

He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.

Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.

Unsupervised Deep Learning in Python


KEY FEATURES

In this course, you'll dig deep into deep learning, discussing principal components analysis and a popular nonlinear dimensionality reduction technique known as t-distributed stochastic neighbor embedding (t-SNE). From there you'll learn about a special type of unsupervised neural network called the autoencoder, understanding how to link many together to get a better performance out of deep neural networks.

  • Access 30 lectures & 3 hours of content 24/7
  • Discuss restricted Boltzmann machines (RBMs) & how to pretrain supervised deep neural networks
  • Learn about Gibbs sampling
  • Use PCA & t-SNE on features learned by autoencoders & RBMs
  • Understand the most modern deep learning developments

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: intermediate, but you must have some knowledge of calculus, linear algebra, probability, Python, Numpy, and be able to write a feedforward neural network in Theano and TensorFlow.
  • All code for this course is available for download here, in the directory unsupervised_class2

Compatibility

  • Internet required

THE EXPERT

The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master's thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.

He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.

He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.

Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.

Deep Learning: Recurrent Neural Networks in Python


KEY FEATURES

A recurrent neural network is a class of artificial neural network where connections form a directed cycle, using their internal memory to process arbitrary sequences of inputs. This makes them capable of tasks like handwriting and speech recognition. In this course, you'll explore this extremely expressive facet of deep learning and get up to speed on this revolutionary new advance.

  • Access 32 lectures & 4 hours of content 24/7
  • Get introduced to the Simple Recurrent Unit, also known as the Elman unit
  • Extend the XOR problem as a parity problem
  • Explore language modeling
  • Learn Word2Vec to create word vectors or word embeddings
  • Look at the long short-term memory unit (LSTM), & gated recurrent unit (GRU)
  • Apply what you learn to practical problems like learning a language model from Wikipedia data

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but you must have some knowledge of calculus, linear algebra, probability, Python, Numpy, and be able to write a feedforward neural network in Theano and TensorFlow.
  • All code for this course is available for download here, in the directory rnn_class

Compatibility

  • Internet required

THE EXPERT

The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master's thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.

He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.

He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.

Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.

Natural Language Processing with Deep Learning in Python


KEY FEATURES

In this course you'll explore advanced natural language processing - the field of computer science and AI that concerns interactions between computer and human languages. Over the course you'll learn four new NLP architectures and explore classic NLP problems like parts-of-speech tagging and named entity recognition, and use recurrent neural networks to solve them. By course's end, you'll have a firm grasp on natural language processing and its many applications.

  • Access 40 lectures & 4.5 hours of content 24/7
  • Discover Word2Vec & how it maps words to a vector space
  • Explore GLoVe's use of matrix factorization & how it contributes to recommendation systems
  • Learn about recursive neural networks which will help solve the problem of negation in sentiment analysis

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: advanced, but you must have some knowledge of calculus, linear algebra, probability, Python, Numpy, and be able to write a feedforward neural network in Theano and TensorFlow.
  • All code for this course is available for download here, in the directory nlp_class2

Compatibility

  • Internet required

THE EXPERT

The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master's thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.

He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.

He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.

Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.

          Practical Deep Learning in Theano and TensorFlow for $29   
Build & Understand Neural Networks Using Two of the Most Popular Deep Learning Techniques
Expires November 02, 2021 23:59 PST
Buy now and get 75% off

KEY FEATURES

The applications of Deep Learning are many, and constantly growing, just like the neural networks that it supports. In this course, you'll delve into advanced concepts of Deep Learning, starting with the basics of TensorFlow and Theano, understanding how to build neural networks with these popular tools. Using these tools, you'll learn how to build and understand a neural network, knowing exactly how to visualize what is happening within a model as it learns.

  • Access 23 lectures & 3 hours of programming 24/7
  • Discover batch & stochastic gradient descent, two techniques that allow you to train on a small sample of data at each iteration, greatly speeding up training time
  • Discuss how momentum can carry you through local minima
  • Learn adaptive learning rate techniques like AdaGrad & RMSprop
  • Explore dropout regularization & other modern neural network techniques
  • Understand the variables & expressions of TensorFlow & Theano
  • Set up a GPU-instance on AWS & compare the speed of CPU vs GPU for training a deep neural network
  • Look at the MNIST dataset & compare against known benchmarks
Like what you're learning? Try out the The Advanced Guide to Deep Learning and Artificial Intelligence next.

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but you must have some knowledge of calculus, linear algebra, probability, Python, and Numpy
  • All code for this course is available for download here, in the directory ann_class2

Compatibility

  • Internet required

THE EXPERT

The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master's thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.

He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.

He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.

Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.

          The Deep Learning and Artificial Intelligence Introductory Bundle for $39   
Companies Are Relying on Machines & Networks to Learn Faster Than Ever. Time to Catch Up.
Expires October 31, 2021 23:59 PST
Buy now and get 91% off

Deep Learning Prerequisites: Linear Regression in Python


KEY FEATURES

Deep Learning is a set of powerful algorithms that are the force behind self-driving cars, image searching, voice recognition, and many, many more applications we consider decidedly "futuristic." One of the central foundations of deep learning is linear regression; using probability theory to gain deeper insight into the "line of best fit." This is the first step to building machines that, in effect, act like neurons in a neural network as they learn while they're fed more information. In this course, you'll start with the basics of building a linear regression module in Python, and progress into practical machine learning issues that will provide the foundations for an exploration of Deep Learning.

  • Access 20 lectures & 2 hours of content 24/7
  • Use a 1-D linear regression to prove Moore's Law
  • Learn how to create a machine learning model that can learn from multiple inputs
  • Apply multi-dimensional linear regression to predict a patient's systolic blood pressure given their age & weight
  • Discuss generalization, overfitting, train-test splits, & other issues that may arise while performing data analysis
Like what you're learning? Try out the The Advanced Guide to Deep Learning and Artificial Intelligence next.

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but you must have some knowledge of calculus, linear algebra, probability, Python, and Numpy
  • All code for this course is available for download here, in the directory linear_regression_class

Compatibility

  • Internet required

THE EXPERT

The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master's thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.

He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.

He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.

Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.

Deep Learning Prerequisites: Logistic Regression in Python


KEY FEATURES

Logistic regression is one of the most fundamental techniques used in machine learning, data science, and statistics, as it may be used to create a classification or labeling algorithm that quite resembles a biological neuron. Logistic regression units, by extension, are the basic bricks in the neural network, the central architecture in deep learning. In this course, you'll come to terms with logistic regression using practical, real-world examples to fully appreciate the vast applications of Deep Learning.

  • Access 31 lectures & 3 hours of content 24/7
  • Code your own logistic regression module in Python
  • Complete a course project that predicts user actions on a website given user data
  • Use Deep Learning for facial expression recognition
  • Understand how to make data-driven decisions
Like what you're learning? Try out the The Advanced Guide to Deep Learning and Artificial Intelligence next.

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but you must have some knowledge of calculus, linear algebra, probability, Python, and Numpy
  • All code for this course is available for download here, in the directory logistic_regression_class

Compatibility

  • Internet required

THE EXPERT

The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master's thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.

He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.

He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.

Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.

Data Science: Deep Learning in Python


KEY FEATURES

Artificial neural networks are the architecture that make Apple's Siri recognize your voice, Tesla's self-driving cars know where to turn, Google Translate learn new languages, and so many more technological features you have quite possibly taken for granted. The data science that unites all of them is Deep Learning. In this course, you'll build your very first neural network, going beyond basic models to build networks that automatically learn features.

  • Access 37 lectures & 4 hours of content 24/7
  • Extend the binary classification model to multiple classes uing the softmax function
  • Code the important training method, backpropagation, in Numpy
  • Implement a neural network using Google's TensorFlow library
  • Predict user actions on a website given user data using a neural network
  • Use Deep Learning for facial expression recognition
  • Learn some of the newest development in neural networks
Like what you're learning? Try out the The Advanced Guide to Deep Learning and Artificial Intelligence next.

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: intermediate, but you must have some knowledge of calculus, linear algebra, probability, Python, and Numpy
  • All code for this course is available for download here, in the directory ann_class

Compatibility

  • Internet required

THE EXPERT

The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master's thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.

He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.

He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.

Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.

Data Science: Practical Deep Learning in Theano & TensorFlow


KEY FEATURES

The applications of Deep Learning are many, and constantly growing, just like the neural networks that it supports. In this course, you'll delve into advanced concepts of Deep Learning, starting with the basics of TensorFlow and Theano, understanding how to build neural networks with these popular tools. Using these tools, you'll learn how to build and understand a neural network, knowing exactly how to visualize what is happening within a model as it learns.

  • Access 23 lectures & 3 hours of programming 24/7
  • Discover batch & stochastic gradient descent, two techniques that allow you to train on a small sample of data at each iteration, greatly speeding up training time
  • Discuss how momentum can carry you through local minima
  • Learn adaptive learning rate techniques like AdaGrad & RMSprop
  • Explore dropout regularization & other modern neural network techniques
  • Understand the variables & expressions of TensorFlow & Theano
  • Set up a GPU-instance on AWS & compare the speed of CPU vs GPU for training a deep neural network
  • Look at the MNIST dataset & compare against known benchmarks
Like what you're learning? Try out the The Advanced Guide to Deep Learning and Artificial Intelligence next.

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but you must have some knowledge of calculus, linear algebra, probability, Python, and Numpy
  • All code for this course is available for download here, in the directory ann_class2

Compatibility

  • Internet required

THE EXPERT

The Lazy Programmer is a data scientist, big data engineer, and full stack software engineer. For his master's thesis he worked on brain-computer interfaces using machine learning. These assist non-verbal and non-mobile persons to communicate with their family and caregivers.

He has worked in online advertising and digital media as both a data scientist and big data engineer, and built various high-throughput web services around said data. He has created new big data pipelines using Hadoop/Pig/MapReduce, and created machine learning models to predict click-through rate, news feed recommender systems using linear regression, Bayesian Bandits, and collaborative filtering and validated the results using A/B testing.

He has taught undergraduate and graduate students in data science, statistics, machine learning, algorithms, calculus, computer graphics, and physics for students attending universities such as Columbia University, NYU, Humber College, and The New School.

Multiple businesses have benefitted from his web programming expertise. He does all the backend (server), frontend (HTML/JS/CSS), and operations/deployment work. Some of the technologies he has used are: Python, Ruby/Rails, PHP, Bootstrap, jQuery (Javascript), Backbone, and Angular. For storage/databases he has used MySQL, Postgres, Redis, MongoDB, and more.

          The Big Data & Analytics Master Toolkit for $39   
Learn SPSS, Minitab, SAS, & R Studio to Add 4 Essential Analytics Tools to Your Resume
Expires October 11, 2023 23:59 PST
Buy now and get 98% off

KEY FEATURES

Most modern companies put a lot of stock into data when making crucial business decisions. As such, they require employees that understand how to work with mass amounts of data, and effectively analyze it to get a holistic view of the company. These skills aren't just reserved for analysts, they're valuable for professionals in any capacity. As such, this bundle presents some of the major data analytics tools in use today: SPSS, Minitab, SAS, and R Studio. With over 201 hours of content, you'll be more than proficient with these tools and have four new certifications to bolster your resume.

  • Section 1: SPSS
    • Access 6 lectures & 17 hours of content
    • Perform complex data manipulation & analysis w/ simple instructions
    • Explore a wide variety of regression modeling & correlation techniques
  • Section 2: Minitab
    • Access 3 lectures & 18 hours of content
    • Apply Minitab to predictive modeling
    • Learn regression modeling & correlation techniques in Minitab
  • Section 3: SAS
    • Access 5 lectures & 48 hours of content
    • Apply SAS to business analytics & quantitative finance
    • Dive into SAS programming
    • Use SAS Enterprise Miner for predictive modeling
  • Section 4: R Studio
    • Access 5 lectures & 118 hours of content
    • Learn R programming & R Studio to perform essential data science & business analytics tasks
    • Explore R Studio Anova techniques
    • Understand hypothesis testing w/ R

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime access
  • Access options: web streaming, mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

An initiative by IIT IIM Graduates, eduCBA is a leading global provider of skill based education addressing the needs 500,000+ members across 40+ Countries. Our unique step-by-step, online learning model along with amazing 1700+ courses prepared by top notch professionals from the Industry help participants achieve their goals successfully. All our training programs are Job oriented skill based programs demanded by the Industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. Therefore we ensure that you can enroll 24 hours a day, seven days a week, 365 days a year. Learn at a time and place, and pace that is of your choice. Plan your study to suit your convenience and schedule. For more details on this course and instructor, click here.

          The Very Big Data & Apache Hadoop Training Bundle for $29   
The World's Biggest Companies Run on Big Data: Become An In-Demand Hadoop Engineer Today!
Expires September 09, 2021 23:59 PST
Buy now and get 99% off

Hadoop Master Series (Module #1) - Big Data & Hadoop Beginners Training


KEY FEATURES

Hadoop is an open source software framework used for storing data of any type. It has huge processing power, can handle a high number of tasks, and is capable of running applications on a group of hardware. Hadoop is an integral component of Big Data, the concept used by major corporations and organizations to organize their mass quantities of data. This course will give you an introduction to Hadoop and Big Data.

  • Access 14 lectures & 3 hours of content 24/7
  • Learn the concepts of Hadoop & Big Data
  • Perform Data Analytics using Hadoop
  • Master the concepts of Hadoop framework
  • Get experience w/ different configurations of the Hadoop cluster
  • Work w/ real time projects using Hadoop

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: beginner

Compatibility

  • Internet required

THE EXPERT

An initiative by IIT IIM Graduates, eduCBA is a leading global provider of skill-based education addressing the needs 500,000+ members across 40+ countries. Their unique step-by-step, online learning model along with amazing 1700+ courses prepared by top notch professionals from the industry help participants achieve their goals successfully. All their training programs are job oriented skill based programs demanded by the industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. For more details on this course and instructor, click here.

Hadoop Master Series (Module #2) - Secondary Sorting, Joins & Combiners


KEY FEATURES

To get a full understanding of the power of Hadoop, you need to actually work with Hadoop. Here you'll get a crash course in how Hadoop output is sorted, and how to control input keys in such a way that output is sorted according to values. You'll learn to understand the complex logic behind Hadoop and how to use it effectively.

  • Access 14 lectures & 3 hours of content 24/7
  • Discover input keys & output in Hadoop
  • Understand joins in Hadoop & how to implement them
  • Cover MapReduce side joins
  • Discover combiners in Hadoop to reduce network congestion

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: intermediate

Compatibility

  • Internet required

THE EXPERT

An initiative by IIT IIM Graduates, eduCBA is a leading global provider of skill-based education addressing the needs 500,000+ members across 40+ countries. Their unique step-by-step, online learning model along with amazing 1700+ courses prepared by top notch professionals from the industry help participants achieve their goals successfully. All their training programs are job oriented skill based programs demanded by the industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. For more details on this course and instructor, click here.

Hadoop Master Series (Module #3) - Real World Examples of Data Analysis in Hadoo


KEY FEATURES

Companies use Hadoop for a variety of reasons, including its low storage cost, its data warehouse and analytics store, its unconstrained data lake, and many more. Ultimately, it comes down to its quick, powerful processing power for mass amounts of data. In this course, you'll gain experience with that processing power firsthand, as you apply Hadoop in real world Data Analytics problems.

  • Access 9 lectures & 2 hours of content 24/7
  • Learn the 4 main module of Hadoop: Hadoop Common, Hadoop Distributed File System, MapReduce, & Yet Another Resource Negotiator (YARN)
  • Understand the real world applications of Hadoop & MapReduce
  • Design, code & run a real example of MapReduce using real data
  • Perform data analytics using Pig, Hive & YARN

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: intermediate

Compatibility

  • Internet required

THE EXPERT

An initiative by IIT IIM Graduates, eduCBA is a leading global provider of skill-based education addressing the needs 500,000+ members across 40+ countries. Their unique step-by-step, online learning model along with amazing 1700+ courses prepared by top notch professionals from the industry help participants achieve their goals successfully. All their training programs are job oriented skill based programs demanded by the industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. For more details on this course and instructor, click here.

Hadoop Master Series (Module #4) - Hive


KEY FEATURES

Apache Hive is a data warehouse infrastructure built on top of Hadoop for providing data summarization, query, and analysis. It's used by companies like Facebook and Netflix, and is a valuable tool for any developer to know. This course will introduce you to Hive and its data types and commands, so that you can start gaining a full understanding of this infrastructure.

  • Access 22 lectures & 4 hours of content 24/7
  • Understand Hive partitioning & bucketing
  • Use SQL queries to access data stored on the Hadoop cluster
  • Discover the applications of Hive for data analysis & warehousing
  • Learn data types, commands, & the Hive metastore

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: intermediate

Compatibility

  • Internet required

THE EXPERT

An initiative by IIT IIM Graduates, eduCBA is a leading global provider of skill-based education addressing the needs 500,000+ members across 40+ countries. Their unique step-by-step, online learning model along with amazing 1700+ courses prepared by top notch professionals from the industry help participants achieve their goals successfully. All their training programs are job oriented skill based programs demanded by the industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. For more details on this course and instructor, click here.

Hadoop Master Series (Module #5) - Apache Pig


KEY FEATURES

Apache Pig is a data flow language used to analyze large data sets. It is executable in Hadoop with MapReduce, Apache Tez, or Apache Spark. Managing and analyzing large data sets is significantly easier with Pig. This course will introduce you to Pig concepts so you can work with Big Data more efficiently.

  • Access 18 lectures & 3 hours of content 24/7
  • Learn Pig commands like load & store data, group data, & join data
  • Combine & split data in Pig using union operator & split operator
  • Understand filtering data in Pig
  • Concentrate on Pig internal & custom functions

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: advanced

Compatibility

  • Internet required

THE EXPERT

An initiative by IIT IIM Graduates, eduCBA is a leading global provider of skill-based education addressing the needs 500,000+ members across 40+ countries. Their unique step-by-step, online learning model along with amazing 1700+ courses prepared by top notch professionals from the industry help participants achieve their goals successfully. All their training programs are job oriented skill based programs demanded by the industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. For more details on this course and instructor, click here.

Hadoop Ecosystem Masterclass - MapReduce


KEY FEATURES

MapReduce is a programming model and an associated implementation for processing and generating large data sets with a parallel, distributed algorithm on a cluster. Sound confusing? Clear it up with this course! MapReduce is an extremely common application of Hadoop, and one that companies value and depend on to organize their data. If you want a high-paying job working in Big Data, you'll need this introduction to MapReduce.

  • Access 30 lectures & 6 hours of content 24/7
  • Implement a custom Hadoop writable data type & custom Hadoop key type
  • Emit data of different value types from a mapper
  • Choose the best Hadoop input format for different scenarios
  • Format the results of MapReduce computations using Hadoop output formats
  • Understand data positioning, broadcasting, & distributing shared resources to tasks in a MapReduce job

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: beginner

Compatibility

  • Internet required

THE EXPERT

An initiative by IIT IIM Graduates, eduCBA is a leading global provider of skill-based education addressing the needs 500,000+ members across 40+ countries. Their unique step-by-step, online learning model along with amazing 1700+ courses prepared by top notch professionals from the industry help participants achieve their goals successfully. All their training programs are job oriented skill based programs demanded by the industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. For more details on this course and instructor, click here.

Hadoop Ecosystem Masterclass - Up & Running with Apache Pig


KEY FEATURES

For writing data analysis programs, Apache Pig has a high level language called Pig Latin which provides numerous operators through which programmers can develop their own functions for reading, writing, and processing data. Pig Latin allows programmers to perform MapReduce tasks without complex Java codes, thereby greatly streamlining the data analysis process. In this course, you'll understand how to use the advanced operators of Apache Pig, and elevate your Big Data skills to an elite level.

  • Access 12 lectures & 2 hours of content 24/7
  • Explore Apache Pig's set of operators for performing operations like join, sort, filter, etc
  • Write Pig Latin scripts
  • Move beyond MapReduce using Apache Pig
  • Store data w/o designing the schema

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: advanced

Compatibility

  • Internet required
  • Hadoop 1.0.3 or later
  • Java 1.6 or later
  • Linux
  • Mac OS X

THE EXPERT

An initiative by IIT IIM Graduates, eduCBA is a leading global provider of skill-based education addressing the needs 500,000+ members across 40+ countries. Their unique step-by-step, online learning model along with amazing 1700+ courses prepared by top notch professionals from the industry help participants achieve their goals successfully. All their training programs are job oriented skill based programs demanded by the industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. For more details on this course and instructor, click here.

Hadoop Ecosystem Masterclass - Beginner Hadoop & HDFS Basics


KEY FEATURES

Throughout this course, you'll gain a further exploration into Big Data processes, while extending your knowledge into the Cloudera environment. Cloudera offers a centralized system for running Hadoop protocols and is a valuable resource for anybody working with Hadoop.

  • Access 12 lectures & 2 hours of content 24/7
  • Explore Big Data, distributed storage, & MapReduce in further detail
  • Understand the Hadoop environment when installed on Cloudera
  • Discover the metadata configuration on Hadoop
  • Learn about HDFS, web UI, & HUE
  • Access HDFS through Java programs

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

An initiative by IIT IIM Graduates, eduCBA is a leading global provider of skill-based education addressing the needs 500,000+ members across 40+ countries. Their unique step-by-step, online learning model along with amazing 1700+ courses prepared by top notch professionals from the industry help participants achieve their goals successfully. All their training programs are job oriented skill based programs demanded by the industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. For more details on this course and instructor, click here.

Hadoop Ecosystem Masterclass - Apache YARN


KEY FEATURES

YARN is the architectural center of Hadoop that allows multiple data processing engines such as interactive SQL, real-time streaming, data science, and batch processing to handle data stored in a single platform. YARN unlocks an entirely new approach to analytics and is at the forefront of a Hadoop revolution. This course will get you up to speed with Apache Hadoop YARN, so you'll be at the forefront of Big Data engineers.

  • Access 18 lectures & 3 hours of content 24/7
  • Understand the core concepts of Apache Hadoop YARN
  • Learn in detail how to install & administer an Apache Hadoop YARN system
  • Master the architecture guidelines for adapting the YARN architecture

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: intermediate

Compatibility

  • Internet required

THE EXPERT

An initiative by IIT IIM Graduates, eduCBA is a leading global provider of skill-based education addressing the needs 500,000+ members across 40+ countries. Their unique step-by-step, online learning model along with amazing 1700+ courses prepared by top notch professionals from the industry help participants achieve their goals successfully. All their training programs are job oriented skill based programs demanded by the industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. For more details on this course and instructor, click here.

Apache Mahout - Machine Learning with Mahout Training


KEY FEATURES

Apache Mahout comprises Scale, Spark, H20, and Hadoop's MapReduce algorithm to create scalable, intelligent algorithms that are optimized for machine learning. Machine learning is the field in AI concerning techniques through which computers enhance outputs based on prior recognition. Big companies like Yahoo and Amazon use machine learning algorithms to gauge their customers' experiences and provide a better one. The applications of machine learning are growing every day, and seemingly endless, which makes this course in Apache Mahout a particularly valuable one for anyone interested in this growing, high-paying field.

  • Access 12 lectures & 2 hours of content 24/7
  • Understand the difference between supervised & unsupervised learning, & the advantages of each
  • Explore Apache Mahout's 3 approaches to machine learning: Collaborative filters, clusters, & categories
  • Create adaptable machine learning that can turn large amounts of information into meaningful knowledge
  • Use the Taste library to create a recommendation engine

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: advanced

Compatibility

  • Internet required
  • Java 7 or later
  • Flink, Spark, H20 or Hadoop platforms
  • JDK 1.7 or later
  • Ant 1.7 or later

THE EXPERT

An initiative by IIT IIM Graduates, eduCBA is a leading global provider of skill-based education addressing the needs 500,000+ members across 40+ countries. Their unique step-by-step, online learning model along with amazing 1700+ courses prepared by top notch professionals from the industry help participants achieve their goals successfully. All their training programs are job oriented skill based programs demanded by the industry. At eduCBA, it is a matter of pride to us to make job oriented hands on courses available to anyone, any time and anywhere. For more details on this course and instructor, click here.

          The Big Data Bundle for $45   
64.5 Hours of Hadoop, MapReduce, Spark & More to Prepare You For One of Today's Fastest-Growing IT Careers
Expires August 17, 2021 23:59 PST
Buy now and get 93% off

From 0 to 1 : Hive for Big Data Processing


KEY FEATURES

Hive is a Big Data processing tool that helps you leverage the power of distributed computing and Hadoop for analytical processing. Its interface is somewhat similar to SQL, but with some key differences. This course is an end-to-end guide to using Hive and connecting the dots to SQL. It's perfect for both professional and aspiring data analysts and engineers alike. Don't know SQL? No problem, there's a primer included in this course!

  • Access 86 lectures & 15 hours of content 24/7
  • Write complex analytical queries on data in Hive & uncover insights
  • Leverage ideas of partitioning & bucketing to optimize queries in Hive
  • Customize Hive w/ user defined functions in Java & Python
  • Understand what goes on under the hood of Hive w/ HDFS & MapReduce

    PRODUCT SPECS

    Details & Requirements

    • Length of time users can access this course: lifetime
    • Access options: web streaming, mobile streaming
    • Certification of completion not included
    • Redemption deadline: redeem your code within 30 days of purchase
    • Experience level required: all levels, but knowledge of SQL and Java would be helpful

    Compatibility

    • Internet required

    THE EXPERT

    Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Learn By Example: Hadoop & MapReduce for Big Data Problems


KEY FEATURES

Big Data sounds pretty daunting doesn't it? Well, this course aims to make it a lot simpler for you. Using Hadoop and MapReduce, you'll learn how to process and manage enormous amounts of data efficiently. Any company that collects mass amounts of data, from startups to Fortune 500, need people fluent in Hadoop and MapReduce, making this course a must for anybody interested in data science.

  • Access 71 lectures & 13 hours of content 24/7
  • Set up your own Hadoop cluster using virtual machines (VMs) & the Cloud
  • Understand HDFS, MapReduce & YARN & their interaction
  • Use MapReduce to recommend friends in a social network, build search engines & generate bigrams
  • Chain multiple MapReduce jobs together
  • Write your own customized partitioner
  • Learn to globally sort a large amount of data by sampling input files

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime access
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

From 0 to 1 : Spark for Data Science in Python


KEY FEATURES

Analysts and data scientists typically have to work with several systems to effectively manage mass sets of data. Spark, on the other hand, provides you a single engine to explore and work with large amounts of data, run machine learning algorithms, and perform many other functions in a single interactive environment. This course's focus on new and innovating technologies in data science and machine learning makes it an excellent one for anyone who wants to work in the lucrative, growing field of Big Data.

  • Access 52 lectures & 8 hours of content 24/7
  • Use Spark for a variety of analytics & machine learning tasks
  • Implement complex algorithms like PageRank & Music Recommendations
  • Work w/ a variety of datasets from airline delays to Twitter, web graphs, & product ratings
  • Employ all the different features & libraries of Spark, like RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming & GraphX

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but some knowledge of Python and Java are assumed

Compatibility

  • Internet required

THE EXPERT

Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Scalable Programming with Scala & Spark


KEY FEATURES

The functional programming nature and the availability of a REPL environment make Scala particularly well suited for a distributed computing framework like Spark. Using these two technologies in tandem can allow you to effectively analyze and explore data in an interactive environment with extremely fast feedback. This course will teach you how to best combine Spark and Scala, making it perfect for aspiring data analysts and Big Data engineers.

  • Access 51 lectures & 8.5 hours of content 24/7
  • Use Spark for a variety of analytics & machine learning tasks
  • Understand functional programming constructs in Scala
  • Implement complex algorithms like PageRank & Music Recommendations
  • Work w/ a variety of datasets from airline delays to Twitter, web graphs, & Product Ratings
  • Use the different features & libraries of Spark, like RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming, & GraphX
  • Write code in Scala REPL environments & build Scala applications w/ an IDE

    PRODUCT SPECS

    Details & Requirements

    • Length of time users can access this course: lifetime
    • Access options: web streaming, mobile streaming
    • Certification of completion not included
    • Redemption deadline: redeem your code within 30 days of purchase
    • Experience level required: all levels, but some knowledge of Java or C++ is assumed

    Compatibility

    • Internet required

    THE EXPERT

    Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Learn by Example: HBase - The Hadoop Database


KEY FEATURES

For Big Data engineers and data analysts, HBase is an extremely effective databasing tool for organizing and manage massive data sets. HBase allows an increased level of flexibility, providing column oriented storage, no fixed schema and low latency to accommodate the dynamically changing needs of applications. With the 25 examples contained in this course, you'll get a complete grasp of HBase that you can leverage in interviews for Big Data positions.

  • Access 41 lectures & 4.5 hours of content 24/7
  • Set up a database for your application using HBase
  • Integrate HBase w/ MapReduce for data processing tasks
  • Create tables, insert, read & delete data from HBase
  • Get a complete understanding of HBase & its role in the Hadoop ecosystem
  • Explore CRUD operations in the shell, & with the Java API

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but some knowledge Java is assumed

Compatibility

  • Internet required

THE EXPERT

Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Pig for Wrangling Big Data


KEY FEATURES

Think about the last time you saw a completely unorganized spreadsheet. Now imagine that spreadsheet was 100,000 times larger. Mind-boggling, right? That's why there's Pig. Pig works with unstructured data to wrestle it into a more palatable form that can be stored in a data warehouse for reporting and analysis. With the massive sets of disorganized data many companies are working with today, people who can work with Pig are in major demand. By the end of this course, you could qualify as one of those people.

  • Access 34 lectures & 5 hours of content 24/7
  • Clean up server logs using Pig
  • Work w/ unstructured data to extract information, transform it, & store it in a usable form
  • Write intermediate level Pig scripts to munge data
  • Optimize Pig operations to work on large data sets

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but some knowledge of SQL, Hadoop, and MapReduce is assumed

Compatibility

  • Internet required

THE EXPERT

Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

From 0 to 1 : The Cassandra Distributed Database


KEY FEATURES

Data sets can outgrow traditional databases, much like children outgrow clothes. Unlike, children's growth patterns, however, massive amounts of data can be extremely unpredictable and unstructured. For Big Data, the Cassandra distributed database is the solution, using partitioning and replication to ensure that your data is structured and available even when nodes in a cluster go down. Children, you're on your own.

  • Access 44 lectures & 5.5 hours of content 24/7
  • Set up & manage a cluster using the Cassandra Cluster Manager (CCM)
  • Create keyspaces, column families, & perform CRUD operations using the Cassandra Query Language (CQL)
  • Design primary keys & secondary indexes, & learn partitioning & clustering keys
  • Understand restrictions on queries based on primary & secondary key design
  • Discover tunable consistency using quorum & local quorum
  • Learn architecture & storage components: Commit Log, MemTable, SSTables, Bloom Filters, Index File, Summary File & Data File
  • Build a Miniature Catalog Management System using the Cassandra Java driver

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but some knowledge of SQL, Hadoop, and MapReduce is assumed

Compatibility

  • Internet required

THE EXPERT

Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Oozie: Workflow Scheduling for Big Data Systems


KEY FEATURES

Working with Big Data, obviously, can be a very complex task. That's why it's important to master Oozie. Oozie makes managing a multitude of jobs at different time schedules, and managing entire data pipelines significantly easier as long as you know the right configurations parameters. This course will teach you how to best determine those parameters, so your workflow will be significantly streamlined.

  • Access 23 lectures & 3 hours of content 24/7
  • Install & set up Oozie
  • Configure Workflows to run jobs on Hadoop
  • Create time-triggered & data-triggered Workflows
  • Build & optimize data pipelines using Bundles

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but some knowledge of Hadoop and MapReduce is assumed

Compatibility

  • Internet required

THE EXPERT

Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Flume & Sqoop for Ingesting Big Data


KEY FEATURES

Flume and Sqoop are important elements of the Hadoop ecosystem, transporting data from sources like local file systems to data stores. This is an essential component to organizing and effectively managing Big Data, making Flume and Sqoop great skills to set you apart from other data analysts.

  • Access 16 lectures & 2 hours of content 24/7
  • Use Flume to ingest data to HDFS & HBase
  • Optimize Sqoop to import data from MySQL to HDFS & Hive
  • Ingest data from a variety of sources including HTTP, Twitter & MySQL

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but knowledge of HDFS, HBase, and Hive shells is required

Compatibility

  • Internet required

THE EXPERT

Loonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

          The Complete Machine Learning Bundle for $39   
Master AI & Achieve the Impossible with 10 Courses & 63.5 Hours of Training in Machine Learning
Expires January 24, 2018 23:59 PST
Buy now and get 95% off

Quant Trading Using Machine Learning


KEY FEATURES

Financial markets are fickle beasts that can be extremely difficult to navigate for the average investor. This course will introduce you to machine learning, a field of study that gives computers the ability to learn without being explicitly programmed, while teaching you how to apply these techniques to quantitative trading. Using Python libraries, you'll discover how to build sophisticated financial models that will better inform your investing decisions. Ideally, this one will buy itself back and then some!

  • Access 64 lectures & 11 hours of content 24/7
  • Get a crash course in quantitative trading from stocks & indices to momentum investing & backtesting
  • Discover machine learning principles like decision trees, ensemble learning, random forests & more
  • Set up a historical price database in MySQL using Python
  • Learn Python libraries like Pandas, Scikit-Learn, XGBoost & Hyperopt
  • Access source code any time as a continuing resource

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime access
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but working knowledge of Python would be helpful

Compatibility

  • Internet required

THE EXPERT

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students. For more details on the course and instructor, click here.

Learn By Example: Statistics and Data Science in R


KEY FEATURES

R is a programming language and software environment for statistical computing and graphics that is widely used among statisticians and data miners for data analysis. In this course, you'll get a thorough run-through of how R works and how it's applied to data science. Before you know it, you'll be crunching numbers like a pro, and be better qualified for many lucrative careers.

  • Access 82 lectures & 9 hours of content 24/7
  • Cover basic statistical principles like mean, median, range, etc.
  • Learn theoretical aspects of statistical concepts
  • Discover datatypes & data structures in R, vectors, arrays, matrices & more
  • Understand Linear Regression
  • Visualize data in R using a variety of charts & graphs
  • Delve into descriptive & inferential statistics

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime access
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Learn By Example: Hadoop & MapReduce for Big Data Problems


KEY FEATURES

Big Data sounds pretty daunting doesn't it? Well, this course aims to make it a lot simpler for you. Using Hadoop and MapReduce, you'll learn how to process and manage enormous amounts of data efficiently. Any company that collects mass amounts of data, from startups to Fortune 500, need people fluent in Hadoop and MapReduce, making this course a must for anybody interested in data science.

  • Access 71 lectures & 13 hours of content 24/7
  • Set up your own Hadoop cluster using virtual machines (VMs) & the Cloud
  • Understand HDFS, MapReduce & YARN & their interaction
  • Use MapReduce to recommend friends in a social network, build search engines & generate bigrams
  • Chain multiple MapReduce jobs together
  • Write your own customized partitioner
  • Learn to globally sort a large amount of data by sampling input files

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime access
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Byte Size Chunks: Java Object-Oriented Programming & Design


KEY FEATURES

Java seems an appropriate name for a language that seems so dense, you may need a cuppa joe after 10 minutes of self-study. Luckily, you can learn all you need to know in this short course. You'll scale the behemoth that is object-oriented programming, mastering classes, objects, and more to conquer a language that powers everything from online games to chat platforms.

  • Learn Java inside & out w/ 35 lectures & 7 hours of content
  • Master object-oriented (OO) programming w/ classes, objects & more
  • Understand the mechanics of OO: access modifiers, dynamic dispatch, etc.
  • Dive into the underlying principles of OO: encapsulation, abstraction & polymorphism
  • Comprehend how information is organized w/ packages & jars

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime access
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but basic knowledge of Java is suggested

Compatibility

  • Internet required

THE EXPERT

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students. For more details on the course and instructor, click here.

An Introduction to Machine Learning & NLP in Python


KEY FEATURES

Are you familiar with self-driving cars? Speech recognition technology? These things would not be possible without the help of Machine Learning--the study of pattern recognition and prediction within the field of computer science. This course is taught by Stanford-educated, Silicon Valley experts that have decades of direct experience under their belts. They will teach you, in the simplest way possible (and with major visual techniques), to put Machine Learning and Python into action. With these skills under your belt, your programming skills will take a whole new level of power.

  • Get introduced to Machine Learning w/ 14.5 hours of instruction
  • Learn from a team w/ decades of practical experience in quant trading, analytics & e-commerce
  • Understand complex subjects w/ the help of animations
  • Use hundreds of lines of source code w/ comments to implement natural language processing & machine learning for text summarization, text classification in Python
  • Study natural language processing & sentiment analysis w/ Python

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but some knowledge of Python is suggested

Compatibility

  • Internet required

THE EXPERT

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students. For more details on the course and instructor, click here.

Byte-Sized-Chunks: Twitter Sentiment Analysis (in Python)


KEY FEATURES

Sentiment Analysis or Opinion Mining is a field of Neuro-linguistic Programming (NLP) that aims to extract subjective information like positive/negative, like/dislike, emotional reactions, and the like. It's an essential component to Machine Learning as it provides valuable training data to a machine. Over this course, you'll learn real examples why Sentiment Analysis is important and how to approach specific problems using Sentiment Analysis.

  • Access 19 lectures & 4 hours of content 24/7
  • Learn Rule-Based & Machine Learning-Based approaches to solving Sentiment Analysis problems
  • Understand Sentiment Lexicons & Regular Expressions
  • Design & implement a Sentiment Analysis measurement system in Python
  • Grasp the underlying Sentiment Analysis theory & its relation to binary classification
  • Identify use-cases for Sentiment Analysis
  • Perform a real Twitter Sentiment Analysis

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but some experience with Python is suggested

Compatibility

  • Internet required

THE EXPERT

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students. For more details on the course and instructor, click here.

Byte-Sized-Chunks: Decision Trees and Random Forests


KEY FEATURES

Decision trees and random forests are two intuitive and extremely effective Machine Learning techniques that allow you to better predict outcomes from a selected input. Both methods are commonly used in business, and knowing how to implement them can put you ahead of your peers. In this course, you'll learn these techniques by exploring a famous (but morbid) Machine Learning problem: predicting the survival of a passenger on the Titanic.

  • Access 19 lectures & 4.5 hours of content 24/7
  • Design & implement a decision tree to predict survival probabilities aboard the Titanic
  • Understand the risks of overfitting & how random forests help overcome them
  • Identify the use-cases for decision trees & random forests
  • Use provided source code to build decision trees & random forests

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students. For more details on the course and instructor, click here.

An Introduction To Deep Learning & Computer Vision


KEY FEATURES

Deep Learning is an exciting branch of Machine Learning that provide solutions for processing the high-dimensional data produced by Computer Vision. This introductory course brings you into the complex, abstract world of Computer Vision and artificial neural networks. By the end, you'll have a solid foundation in a core principle of Machine Learning.

  • Access 9 lectures & 2 hours of content 24/7
  • Design & implement a simple computer vision use-case: digit recognition
  • Train a neural network to classify handwritten digits in Python
  • Build a neural network & specify the training process
  • Grasp the central theory underlying Deep Learning & Computer Vision
  • Understand use-cases for Computer Vision & Deep Learning

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but some knowledge of Python is suggested

Compatibility

  • Internet required

THE EXPERT

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Byte-Sized-Chunks: Recommendation Systems


KEY FEATURES

Assuming you're an internet user (which seems likely), you use or encounter recommendation systems all the time. Whenever you see an ad or product that seems eerily in tune with whatever you were just thinking about, it's because of a recommendation system. In this course, you'll learn how to build a variety of these systems using Python, and be well on your way to a high-paying career.

  • Access 20 lectures & 4.5 hours of content 24/7
  • Build Recommendation Engines that use content based filtering to find products that are most relevant to users
  • Discover Collaborative Filtering, the most popular approach to recommendations
  • Identify similar users using neighborhood models like Euclidean Distance, Pearson Correlation & Cosine
  • Use Matrix Factorization to identify latent factor methods
  • Learn recommendation systems by building a movie-recommending app in Python

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but some knowledge of Python is suggested

Compatibility

  • Internet required

THE EXPERT

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students. For more details on the course and instructor, click here.

From 0 to 1: Learn Python Programming


KEY FEATURES

Python's one of the easiest yet most powerful programming languages you can learn, and it's proven its utility at top companies like Dropbox and Pinterest. In this quick and dirty course, you'll learn to write clean, efficient Python code, learning to expedite your workflow by automating manual work, implementing machine learning techniques, and much more.

  • Dive into Python w/ 10.5 hours of content
  • Acquire the database knowledge you need to effectively manipulate data
  • Eliminate manual work by creating auto-generating spreadsheets w/ xlsxwriter
  • Master machine learning techniques like sk-learn
  • Utilize tools for text processing, including nltk
  • Learn how to scrape websites like the NYTimes & Washington Post using Beautiful Soup
  • Complete drills to consolidate your newly acquired knowledge

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: lifetime access
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Loonycorn is comprised of four individuals--Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh--who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

          The Essential Data Analysis Bundle for $39   
Learn to Crunch Numbers, Make Smarter Business Decisions & Open More Career Doors with 45+ Hours of Training
Expires June 30, 2017 23:59 PST
Buy now and get 81% off

Introduction to Data Science


KEY FEATURES

Whether you work in tech, IT, finance, sports--really any industry--knowing how to analyze data will give you a major boost over your peers. This course will teach you the key elements of data science that will allow you to solve real problems using data. With the analytical and statistical skills you learn here, you'll be able to make an immediate impact on your workplace.

  • Access 14 interactive modules 24/7
  • Use analytical skills to manipulate data
  • Develop business acumen & project your findings to the real world
  • Master statistics to separate vital signals from irrelevant noise
  • Learn how to use analytical toolkits like Microsoft Excel & the R programming language

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: 1 year
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Skillsology works with companies of all sizes and offers very competitive business rates. Regardless of how many employees you have, their training will turn your staff into experts in no time! Their courses will save you time and resources by teaching you the material you need to know, not what you don't. For more details on this course and instructor, click here.

Business Analysis 101


KEY FEATURES

Businesses today are predominantly driven by numbers, and the most successful people are the ones who know how to manage those numbers to drive business forward. This course will take you through a proven, structured process to improve your ability to collect, analyze, and forecast business and financial data. From the collection process to making sound, well-supported business decisions, you'll gain all the tools you need to become one of the most valuable members of your team.

  • Access 18 interactive modules w/ approximately 20 hours of content 24/7
  • Understand how to generate valuable insights from business data
  • Learn how to report on business data & present information & analysis to clients & stakeholders
  • Create charts to communicate well-researched business decisions
  • Use practical exercises & quizzes to test your knowledge as you go

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: 1 year
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required

THE EXPERT

Skillsology works with companies of all sizes and offers very competitive business rates. Regardless of how many employees you have, their training will turn your staff into experts in no time! Their courses will save you time and resources by teaching you the material you need to know, not what you don't. For more details on this course and instructor, click here.

Advanced Microsoft Excel Course


KEY FEATURES

Microsoft Excel is the leading spreadsheet software, allowing you to process and manage large amounts of business data, all from the same platform. Through this huge course, you'll go from the absolute basics to performing the most complex Excel functions fast. Start organizing data more effectively and new doors are sure to open not far behind.

  • Access over 160 videos & approximately 27 hours of content 24/7
  • Use advanced graphs & presentation techniques to maximize impact
  • Learn how macros & VBA automate your spreadsheets & increased interactivity
  • Discover how superpower functions can solve complex functions
  • Use PivotTables & PowerPivots to turn raw data into clear information that supports key decisions

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: 1 year
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels

Compatibility

  • Internet required
  • Microsoft Excel 2007 or later required

THE EXPERT

Skillsology works with companies of all sizes and offers very competitive business rates. Regardless of how many employees you have, their training will turn your staff into experts in no time! Their courses will save you time and resources by teaching you the material you need to know, not what you don't. For more details on this course and instructor, click here.

          Lean Six Sigma Green & Black Belt Bundle for $49   
Become a Titan of Project Management & Prep for the Lean Six Sigma Certifications with 30 Hours of Training
Expires February 18, 2018 23:59 PST
Buy now and get 93% off

Lean Six Sigma Black Belt Training & Certification


KEY FEATURES

Lean Six Sigma has three tiers of certification: Yellow Belt, Green Belt, and Black Belt. As you can probably deduce, Black Belt is the highest certification, making this course a major asset for business professionals. By passing the Certification Exam included with this course, you will have mastered Lean Six Sigma and be better qualified for high-paying management positions or to operate your own business.

  • Use audio video lectures, simulated exams, flashcards & tool kits to prepare for the Lean Six Sigma Black Belt Certification Exam
  • Take the Lean Six Sigma Black Belt Certification Exam, included free in the course
  • Earn 45 PDUs for PMI Credential Holders
  • Learn on your own time w/ 24/7 course access

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: 1 year
  • Access options: web streaming, mobile streaming
  • Certification of completion included w/ passing of Lean Six Sigma Black Belt Certification Exam
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: candidates should be Six Sigma Green Belt Trained/Certified
Compatibility
  • Internet required

THE EXPERT

GreyCampus transforms careers through skills and certification training. We are a leading provider of training for working professionals in the areas of Project Management, Big Data, Data Science, Service Management and Quality Management. We offer live-online (instructor-led online), classroom (instructor-led classroom) and e-learning (online self-learning ) courses. Our growing suite of accredited courses is constantly upgraded to address the career enhancement goals of working professionals. For more details on this course or instructor, click here.

Lean Six Sigma Green Belt Training & Certification


KEY FEATURES

Lean Six Sigma is a business management methodology that combines Lean and Six Sigma, two methods intended to improve performance by systematically removing waste. By passing the Green Belt Certification Exam, you'll be ready to take on the expert level Black Belt course and further your qualifications for lucrative management positions or entrepreneurial activities.

  • Use audio video lectures, simulated exams, flashcards & tool kits to prepare for the Lean Six Sigma Green Belt Certification Exam
  • Learn the eight kinds of waste: Time, Inventory, Motion, Waiting, Over-production, Over-processing, Defects, & Skills
  • Take the Lean Six Sigma Green Belt Certification Exam, included free in the course
  • Earn 35 PDUs for PMI Credential Holders
  • Learn on your own time w/ 24/7 course access
Note: You must complete this certification before you may go on to the Lean Six Sigma Black Belt Training and Certification course

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: 1 year
  • Access options: web streaming, mobile streaming
  • Certification of completion included w/ passing of Lean Six Sigma Green Belt Certification Exam
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels
Compatibility
  • Internet required

THE EXPERT

GreyCampus transforms careers through skills and certification training. We are a leading provider of training for working professionals in the areas of Project Management, Big Data, Data Science, Service Management and Quality Management. We offer live-online (instructor-led online), classroom (instructor-led classroom) and e-learning (online self-learning ) courses. Our growing suite of accredited courses is constantly upgraded to address the career enhancement goals of working professionals. For more details on this course or instructor, click here.

          Six Sigma Green & Black Belt Certification Training for $49   
Get Certified in the Project Management Methodology Used by Motorola & General Electric with 60 Hours of In-Depth Training
Expires February 16, 2018 23:59 PST
Buy now and get 93% off

Six Sigma Green Belt Training & Certification


KEY FEATURES

Six Sigma is a disciplined, data-driven approach and methodology for eliminating defects in any process--from manufacturing to transactional and from product to service. This course will focus on the sub-methodology, DMAIC (define, measure, analyze, improve, control) to provide you with both an introduction to Six Sigma and how to implement it in your own business practices.
  • Discover Six Sigma w/ 20 hours of content
  • Use audio video lectures, simulated exams, flashcards & tool kits to prepare for the Six Sigma Green Belt Certification Exam
  • Understand the sub-methodology, DMAIC (define, measure, analyze, improve, control)
  • Learn the project level designations of Six Sigma
  • Earn 35 PDUs for PMI Credential Holders
  • Become Six Sigma Green Belt certified upon completion of the Certification Exam included
Note: You must complete this certification before you may go on to the Six Sigma Black Belt Training and Certification course

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: 1 year
  • Access options: web streaming, mobile streaming
  • Certification of completion included w/ passing of Six Sigma Green Belt Certification Exam
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels
Compatibility
  • Internet required

THE EXPERT

GreyCampus transforms careers through skills and certification training. We are a leading provider of training for working professionals in the areas of Project Management, Big Data, Data Science, Service Management and Quality Management. We offer live-online (instructor-led online), classroom (instructor-led classroom) and e-learning (online self-learning ) courses. Our growing suite of accredited courses is constantly upgraded to address the career enhancement goals of working professionals. For more details on this course or instructor, click here.

Six Sigma Black Belt Training & Certification


KEY FEATURES

According to the Six Sigma Academy, Black Belt project managers save companies approximately $230,000 per project and can complete four to six projects per year. By completing this course and passing the included Six Sigma Black Belt Certification Exam, you will carry an elite certification that may qualify you for lucrative project manager positions and enhance your own entrepreneurial ability.
  • Elevate your Six Sigma knowledge w/ 40 hours of content
  • Use audio video lectures, simulated exams, flashcards & tool kits to prepare for the Six Sigma Black Belt Certification Exam
  • Earn 45 PDUs for PMI Credential Holders
  • Become Six Sigma Black Belt certified upon completion of the Certification Exam included
Note: You must pass the Six Sigma Green Belt Certification Exam before you may be eligible for this course

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: 1 year
  • Access options: web streaming, mobile streaming
  • Certification of completion included w/ passing of Six Sigma Black Belt Certification Exam
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: must be Six Sigma Green Belt Certified

Compatibility

  • Internet required

THE EXPERT

GreyCampus transforms careers through skills and certification training. We are a leading provider of training for working professionals in the areas of Project Management, Big Data, Data Science, Service Management and Quality Management. We offer live-online (instructor-led online), classroom (instructor-led classroom) and e-learning (online self-learning ) courses. Our growing suite of accredited courses is constantly upgraded to address the career enhancement goals of working professionals. For more details on this course or instructor, click here.

          Project Management (PMP) Certification Training for $29   
Prep for This Globally-Recognized Certification & Prove Your Job-Ready Skills
Expires November 06, 2017 23:59 PST
Buy now and get 92% off

KEY FEATURES

Project Management is an extremely in-demand profession with positions available in a wide variety of fields. While in some professions experience is the only way, Project Management values a limited list of industry-recognized certifications--including PMP. Dive into this in-depth training, and walk away with the skills to pass the exam with flying colors.
  • Prepare to pass a globally-recognized Project Management exam
  • Learn to deliver projects efficiently & prove your capabilities
  • Prepare for the exam w/ 35 hours of video lectures
  • Use provided flashcards, PM tools & simulated exams
  • Access courses & tools at any time
  • Study information based on the latest edition of the PMI Project Management Body of Knowledge

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: 1 year
  • Access options: web streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required:
    • Option 1: Secondary degree (high school diploma, associate’s degree or global equivalent)
      • Minimum five years/60 months unique non-overlapping professional project management experience during which at least 7,500 hours were spent leading and directing the project*
    • Option2: Four-year degree (bachelor’s degree or global equivalent)
      • Minimum three years/36 months unique non-overlapping professional project management experience during which at least 4,500 hours were spent leading and directing the project

Compatibility

  • Internet required

THE EXPERT

GreyCampus transforms careers through skills and certification training. They're a leading provider of training for working professionals in the areas of Project Management, Big Data, Data Science, Service Management, and Quality Management. For more details on this course and instructor, click here.

          Big Data Hadoop Training Bundle for $49   
Dive into 60 Hours of Instruction & Hands-On Projects to Build a Flourishing Career in Data
Expires October 11, 2017 23:59 PST
Buy now and get 93% off

Big Data Hadoop Developer Training & Certification


KEY FEATURES

'Big data' even by name appears large and intimidating. This course is here to settle your fears and introduce you to the concept of big data from scratch. Understand what it is and why it's such an essential part of the business world today. You'll get familiar with the technologies powering the industry, like Hadoop, and dive into hands-on projects. Complete the 30 hour training and get the chance to score a coveted certification to impress recruiters everywhere.
  • Get introduced to the Big Data Ecosystem
  • Understand the need for big data & its applications
  • Study the Hadoop architecture
  • Learn about Map-reduce framework
  • Use Sqoop & Flume to load data into Hadoop File System
  • Run queries using Pig & Hive
  • Install & configure HBase
  • Discuss & differentiate various commercial distributions of Big Data like Cloudera & Hortonworks
  • Successfully complete the project to be eligible for a certification

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: 1 Year
  • Access options: web streaming
  • Certification of completion included w/ submission of project
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels
  • After completion of the training, participants need to apply for PDU e-certificates online. Once applied, the PDU e-certificates will reach participants within 2 business days.

Compatibility

  • Min. 2 MBPS Internet Connectivity
  • Multimedia PC w/ speakers/headphones & microphone
  • Windows 7 or later
  • Mac OS 10.7 or later
  • Processor: Intel Core i5 or newer
  • RAM: 4GB minimum, 8GB would be recommended
  • Latest version of Chrome or Firefox

THE EXPERT

GreyCampus transforms careers through skills and certification training. They're a leading provider of training for working professionals in the areas of Project Management, Big Data, Data Science, Service Management, and Quality Management. They offer live-online (instructor-led online), classroom (instructor-led classroom), and e-learning (online self-learning ) courses. Their growing suite of accredited courses is constantly upgraded to address the career enhancement goals of working professionals. For more details on this course and instructor, click here.

Hadoop Administrator Training & Certification


KEY FEATURES

So now you understand the basics of big data and its technologies, but it's time to get serious. This training is intended for system administrators, DBA’s, Linux admins, and software engineers responsible for managing and maintaining Hadoop clusters. You'll get hands-on experience with managing and maintaining a Hadoop Cluster, gaining the in-demand skills that will truly accelerate your career in the right direction.
  • Understand Hadoop architecture & its components
  • Learn about Hadoop Cluster
  • Manage, maintain, monitor & troubleshoot a Hadoop Cluster
  • Gain insight on YARN & MapReduce
  • Install & configure Apache Ecosystem Tools
  • Study configuration & performance tuning

PRODUCT SPECS

Details & Requirements

  • Length of time users can access this course: 1 Year
  • Access options: web streaming
  • Certification of completion included w/ submission of project
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels
  • After completing 30 hrs of training, participants will be provided a Project which they have to submit within 15 days. A successful completion of the project would make the participants eligible for the GreyCampus certificate.

Compatibility

  • Min. 2 MBPS Internet Connectivity
  • Multimedia PC w/ speakers/headphones & microphone
  • Windows 7 or later
  • Mac OS 10.7 or later
  • Processor: Intel Core i5 or newer
  • RAM: 8GB would be recommended
  • Latest version of Chrome or Firefox

THE EXPERT

GreyCampus transforms careers through skills and certification training. They're a leading provider of training for working professionals in the areas of Project Management, Big Data, Data Science, Service Management, and Quality Management. They offer live-online (instructor-led online), classroom (instructor-led classroom), and e-learning (online self-learning ) courses. Their growing suite of accredited courses is constantly upgraded to address the career enhancement goals of working professionals. For more details on this course and instructor, click here.

          Data Scientist - SME level - Praxis Engineering - Reston, VA   
No red tape. Ability to identify and/or develop business opportunities. Thorough knowledge of Agency business operations and associated processes....
From Praxis Engineering - Fri, 09 Jun 2017 07:13:27 GMT - View all Reston, VA jobs
          Data Scientist - Praxis Engineering - Reston, VA   
No red tape. Utilizing complex mathematical, statistical or other data-driven problem solving analysis to identify significant intelligence issues or trends in...
From Praxis Engineering - Fri, 09 Jun 2017 07:13:27 GMT - View all Reston, VA jobs
          Data Scientist - Mid - Praxis Engineering - Reston, VA   
No red tape. Conducting mathematical, statistical or other data-driven problem solving analysis to identify business operations or intelligence questions by...
From Praxis Engineering - Fri, 09 Jun 2017 07:13:26 GMT - View all Reston, VA jobs
          Sr Data Scientist - Praxis Engineering - Reston, VA   
No red tape. Ability to identify and/or develop business opportunities. Utilizing complex mathematical, statistical or other data-driven problem solving...
From Praxis Engineering - Fri, 09 Jun 2017 07:12:41 GMT - View all Reston, VA jobs
          WPC Healthcare Deploys Data Science to Help Predict Sepsis   

“Evolving Definition of Sepsis,” Authored by WPC and Area Data Scientists, Featured in International Clinical Pathology Journal

(PRWeb November 22, 2016)

Read the full story at http://www.prweb.com/releases/2016/11/prweb13870579.htm


          Damian Mingle Named Finalist for Sepsis Heroes Award   

Chief Data Scientist at WPC Healthcare is recognized

(PRWeb July 26, 2016)

Read the full story at http://www.prweb.com/releases/2016/07/prweb13575446.htm


          Data Scientist - 3M - Maplewood, MN   
This position will work closely with FP&A, Business Group finance teams, Treasury, Tax, Audit and Internal reporting teams to complete high impact projects....
From 3M - Wed, 29 Mar 2017 01:44:52 GMT - View all Maplewood, MN jobs
          Process Data Scientist (Woodbury, MN) - 3M - Woodbury, MN   
Implement relevant and valuable computational algorithms in software that support 3M businesses. Provide strong understanding of internal business segment...
From 3M - Tue, 07 Mar 2017 20:00:10 GMT - View all Woodbury, MN jobs
          McLaren Receives NSF Grant to Data Mine Learning from Erroneous Examples    
Mon, 06/19/2017

Erroneous examples, step-by-step examples of incorrect problem solving, is a pedagogical approach used in only a few fields, such as medical education. Bruce McLaren, an associate research professor in the Human-Computer Interaction Institute, recently received a grant of just under $1 million from the National Science Foundation (NSF) to research why learning from erroneous examples is successful and how it might be integrated into instruction more generally.  

McLaren and his collaborators will use educational data mining techniques to uncover and analyze student actions as they interact with erroneous examples.

"Learning through erroneous examples is a novel, little-used instructional technique," said McLaren. "The approach is in some ways counterintuitive and counter to Skinner psychology, which posits that students learn by mimicking correct actions. However, some researchers believe that challenging students with errors, prompting them to reflect on and correct errors, has significant instructional advantages." 

As a learning science researcher, McLaren is interested in how technology, specifically educational software, can support education. His past projects have investigated other educational technology questions such as: Can educational games lead to learning in mathematics? (Hint: yes, they can.)

McLaren’s new project will apply educational data mining techniques to log data collected from over 2,000 middle school mathematics students studying decimals. McLaren and his colleagues will employ data mining techniques to identify patterns in the data sets at a micro level.

The focus on data mining is part of a trend in the learning sciences to leverage data as a means of understanding how people learn and how to make instructional material more effective.

The research team will use an iterative plan, analyzing the log data of online learning from erroneous examples, then revising and repeating to explore whether enhancements to the erroneous examples improve learning. 

"We want to improve the materials over time," explained McLaren. "Due to the complexity of revising materials, in particular, the many different ways the materials can be modified and enhanced, it is necessary to work deliberately and iteratively to find ways to improve the instruction."

He continued, “I’m really excited about this project because it’s an opportunity to dig deep into data, to explore the underlying reasons for how and why students learn with erroneous examples. So often in research we get interesting results from experiments, but do not fully understand the results. Here, we have an opportunity to find out how and why students benefit (or do not benefit) from our instructional materials.”

McLaren's NSF research grant will contribute to the variety of learning science research that happens within the Human-Computer Interaction Institute. You can also learn more about the  human-centered data science tract and learning science master's programs. 

News type

News
           Carnegie Mellon Offers New Master's Degree in Product Management   
Tue, 05/16/2017

Originally posted on www.cs.cmu.edu by Byron Spice 05/16/2017.

A new master's degree program at Carnegie Mellon University aims to teach computer scientists and engineers to become product managers, the much sought-after specialists in technical organizations who shepherd new products to market.

A joint program of the university's School of Computer Science (SCS) and Tepper School of Business, the Master of Science in Product Management (MSPM) program will start January 2018.

The 12-month master's degree program provides the technical skills and business acumen students need to be successful in this high-demand area. A required internship and capstone project supply the practical skills students need to return to industry prepared for their new careers.

"A product manager is first and foremost the CEO of the product," said Bob Monroe, associate teaching professor in the Tepper School and co-director of the MSPM program. "They are responsible for building the right product to solve the right problem for the right customers, and selling it at the right price through the right distribution channels. They own and are responsible for the overall success of the product."

Because their roles involve technical knowhow and marketing savvy, good product managers must exhibit excellent interpersonal skills, business acumen and technical knowledge. Carnegie Mellon's MSPM degree builds on the university's global leadership in computer science and business to train these hard-to-find gems of the tech world.

"One message we consistently receive from industry is that truly good product managers are incredibly hard to find," said SCS Dean Andrew Moore. "In software companies big and small, there is no such thing as a great product manager who doesn't combine technical excellence with passionate leadership, so SCS and the Tepper School are the perfect partnership."

Carnegie Mellon has designed its MSPM program for early career professionals with an undergraduate degree in computer science, software engineering or computer engineering. Students will begin the program in January and spend one calendar year in Pittsburgh. SCS's Human-Computer Interaction Institute (HCII) will provide technical education in courses ranging from digital service innovation to data science for product managers. The Tepper School will supply courses on management topics that include marketing for high-tech product managers, product strategy, and managing people and teams.

"The role of product managers continues to gain importance in today’s technical product companies," said Bob Meese, vice president of business for language software company Duolingo and former director of business development for Google Play. "The best product managers partner effectively with engineering managers on near-term product development efforts while also centrally directing cross-functional teams and keeping the customer’s perspective present throughout longer-term product planning."

In addition to providing the hard skills product managers need, the program will focus on training students in the interpersonal and communications skills that are imperative to getting a product from concept to customer.

"The MSPM program offers a deep dive into all the skills good product managers need to have," said program co-director Jason Hong, associate professor in the HCII. "This program will help technical professionals change their career trajectory and make the leap from technologist to product manager at tech companies."

"Through the Tepper School's Accelerate Leadership Center, students will create a personalized program and work with an executive coach to develop the leadership and interpersonal skills they’ll need to succeed," Monroe said.

Applications for the program are open, and the first application deadline is July 1. Visit the MSPM homepage for more information.

News type

News

Citation


          CHI Preview: Variolite: Supporting Exploratory Programming by Data Scientists   
Tue, 05/09/2017

When you are given a task with a number of possible approaches and no clear requirements, how do you get started? When faced with building software to solve an open-ended problem, it’s often impossible to fully design what to build upfront. Programmers often need to experiment with ideas by writing code, running it, and examining the result. This process of iteratively writing code in order to design and discover the goals of a program is a process called “exploratory programming.”

A team of researchers from Carnegie Mellon University and the Oregon State University are studying exploratory programming. HCII Ph.D. student Mary Beth Kery, Professor Brad Myers and Oregon State undergraduate Amber Horvath ran a study involving 70 data scientists. They conducted semi-structured interviews and used surveying techniques to explore how ideation is carried out using source code.

They observed that data scientists often write code to pursue an idea or analysis without a clear path or well-defined goal. Because of this, they will frequently experiment by repurposing code or building off code used from a previous idea. Programmers who practice ideating or experimenting through code often manage the abundance of code they generate using informal version control, such as commenting-out code or creating many files with similar names, which requires that they keep their own complex mental maps.

Given this strategy, and the number of different experimental versions of their own code that data scientists generate, Kery, Myers and Horvath expected to see data scientists benefiting from the standard version control software. Instead, some programmers actively avoided using them, even people who use the same version control software for other tasks.

The paper notes that, "Only 3 out of 10 interviewees chose to use software version control for their exploratory analysis work, although 9 of 10 did use VCSs…for other non-exploratory projects."

In their paper, "Variolite: Supporting Exploratory Programming by Data Scientists," Kery, Myers and Hovarth found that data scientists avoid using standard version control systems for their explorations for a number of reasons, including the feeling that the VCSs are too heavy-handed for what they needed.

Since formal version control systems do not meet users' needs, many take to informal efforts, including commenting out code to store alternate versions of code. This informal process introduces a new set of challenges for data scientists primarily around confusion.

Managing the naming conventions, code context and locations, and inconsistent alternatives require programmers to create a complex and detailed map in their heads for their code management. In the paper, which was awarded an Honorable Mention at the ACM SIGCHI 2017 Conference, Kery and team introduce their tool, Variolite, which supports local version control and a more natural usage pattern for data scientists.

Variolite is a prototype tool implemented in CoffeeScript and CSS, using Atom editor's package framework. It introduces functionality called variant boxes, where users can select code to create alternative versions by drawing a box around it.

Users can control which code is active and which is stored for possible use later with the simple switch of the active tab. Users are also not limited to the type of iterations. They can produce alternatives of a file, group of functions or even a single line of code with the same process.

To learn more about the prototype tool, Variolite, read the complete paper here

News type

News
          HCII @ CHI 2017    
Fri, 05/05/2017

The Human-Computer Interaction Institute heads to Denver, Colo. for the 2017 ACM Conference on Human Factors in Computing Systems (CHI). This conference is always a welcome opportunity to reconnect with fellow researchers and friends as well as graduates of our program. This year, the HCII has 26 accepted papers including seven Honorable Mention Awards and two Best Paper Awards.

Professors Brad Myers and Scott Hudson will each be honored with a Lifetime Achievement award. Myers for his prolific research will receive the Lifetime Achievement in Research Award and Hudson for his dedication to the field will be receiving the Lifetime Achievement in Service Award. We are also proud to announce that HCII Ph.D. graduate Jacob Wobbrock, is being honored with the CHI Social Impact Award for his admirable advances in accessibility research. Finally, a team of Master of Human-Computer Interaction students heads to CHI to present their product, Robin, in the CHI Student Design Competition, where they are one of 12 teams selected to compete. Scroll down for more information about our research at CHI 2017.

Paper Title Authors

Best PaperDesign and Evaluation of a Data-Driven Password Meter

Blase Ur, Felicia Alfieri, Maung Aung, Lujo Bauer, Nicolas Christin, Jessica Colnago, Lorrie Faith Cranor, Henry Dixon, Pardis Emami Naeini, Hana Habib, Noah Johnson, William Melicher
Best PaperFlash Organizations: Crowdsourcing Complex Work by Structuring Crowds As Organizations Melissa A Valentine, Daniela Retelny, Alexandra To, Negar Rahmati, Tulsee Doshi, Michael S Bernstein
Honorable MentionThumprint: Socially-Inclusive Local Group Authentication Through Shared Secret Knocks Yang Zhang, Gierad Laput, Chris Harrison
Honorable MentionQuantifying Aversion to Costly Typing Errors in Expert Mobile Text Entry Nikola Banovic, Varun Muralidhar Rao, ABINAYA SARAVANAN, Anind Dey, Jennifer Mankoff
Honorable MentionIs Difficulty Overrated? The Effects of Choice, Novelty and Suspense on Intrinsic Motivation in Educational Games Derek Lomas, Kenneth Koedinger, Nirmal Patel, Sharan Shodhan, Nikhil Poonwala, Jodi L Forlizzi
Honorable MentionVariolite: Supporting Exploratory Programming by Data Scientists Mary Beth Kery, Amber Imogen Horvath, Brad Myers
Honorable MentionSUGILITE: Creating Multimodal Smartphone Automation
by Demonstration
Toby Jia-Jun Li, Amos Azaria, Brad A Myers
Be Me, or Be Mii? A study of self-presentation and interaction in the Mititomo Mobile Application Anna Kasunic, Geoff Kaufman
Synthetic Sensors: Towards General-Purpose Sensing Gierad Laput, Yang Zhang, Chris Harrison
Deus EM Machina: On-Touch Contextual Functionality for Smart IoT Appliances Robert Xiao, Gierad Laput, Yang Zhang, Chris Harrison
Electrick: Low-Cost Touch Sensing Using Electric Field Tomography Yang Zhang, Gierad Laput, Chris Harrison
Façade: Making Appliances More Accessible with Overlaid 3D Printed Tactile Buttons Anhong Guo, Jeeeun Kim, Xiang 'Anthony' Chen, Tom Yeh, Scott E. Hudson, Jennifer Mankof
Understanding Volunteer AT Fabricators: Opportunities and Challenges in DIY-AT for Others in e-NABLE Jeremiah L Parry-Hill, Patrick C Shih, Jennifer Mankoff, Daniel Ashbrook
Stretching the Bounds of 3D Printing with Embedded Textiles Michael L Rivera, Melissa Moukperian, Daniel Ashbrook, Jennifer Mankoff, Scott E Hudson
Leveraging Human Routine Models to Detect and Generate Human Behaviors Nikola Banovic, Anqi Wang, Yanfeng Jin, Christie Chang, Julian Ramos, Anind Dey, Jennifer Mankoff
UX Design Innovation: Some Challenges for Working with Machine Learning as Design Material Graham Dove, Jodi L Forlizzi, Kim Halskov, John Zimmerman  
Robots in Group Context: Rethinking Design, Development and Deployment- Malte Jung, Matt Beane, Jodi Forlizzi, Robin Murphy, Janet Vertesi
Leveraging Complementary Contributions of Different Workers for Efficient Crowdsourcing of Video Captions Yun Huang     Yifeng Huang     Na Xue     Jeffrey Bigham
Design for Rituals of Letting Go: An Embodiment Perspective on Disposal Practices Informed by Grief Therapy- Corina Sas     Steve Whittaker     John Zimmerman
Improv: An Input Framework for Improvising Cross-Device Interaction By Demonstration- Xiang 'Anthony' Chen     Yang Li
Adding Physical Objects to an Interactive Game Improves Learning and Enjoyment: Evidence from EarthShake- Nesra Yannier     Scott Hudson     Eliane Stampfer Wiese     Kenneth Koedinger   
Better Organization or a Source of Distraction? Introducing Digital Peer Feedback to a Paper-Based Classroom Amy Shannon     Alex Sciuto     Danielle Hu     Steven P Dow     Jessica Hammer
Conflict in Comments: Learning but Lowering Perceptions with Limits W. Ben Towne, Carolyn P. Rose, James D. Hersleb
Subcontracting Microwork Meredith Ringel Morris, Jeffrey Bigham, Robin Brewer, Jonathan Bragg, Anand P Kulkarni, Jessie Li, Saiph Savage
People with Visual Impairment Training Personal Object Recognizers: Feasibility and Challenges Hernisa Kacorri, Kris M Kitani, Jeffrey P Bigham, Chieko Asakawa
Commitment of Newcomers and Old-timers to Online Health Support Communities Diyi Yang, Robert E Kraut, John M Levine

For more information about the HCII at CHI 2017, visit the CHI program.

 


          Myers Earns 2017 SIGCHI Lifetime Achievement in Research Award   
Thu, 02/16/2017

Brad A. Myers, Professor in the Human-Computer Interaction Institute, has been named the recipient of the 2017 SIGCHI Lifetime Achievement in Research Award. Presented annually by the Association for Computing Machinery’s Special Interest Group on Computer-Human Interaction, the award recognizes an individual for the very best, most fundamental and influential research contributions to the human-computer interaction field.  It is the most prestigious award given by SIGCHI.

Myers is a prolific user interface software researcher and is well-known for his influential work with programming by demonstration and UI development tools. He was also one of the early researchers on innovative uses for handheld devices, such as Palm Pilots. While working for PERQ Systems Corporation, Brad created one of the first commercial window managers with a number of features that later became widespread. His Ph.D. dissertation from the University of Toronto featured an interactive tool called “Peridot,” a programming-by-demonstration system that allowed users to specify the look and behaviors of widgets without conventional programming. 

In 1987, he joined the Carnegie Mellon community where he created the “Garnet” and “Amulet” toolkits, two widely-used interactive development environments for UIs, which incorporated novel designs for objects, constraints, output handling, input handling, command objects, and interactive tools. Many of the innovations in these projects have been adopted by later research and commercial systems. 

Myers most recent research focuses on applying HCI techniques for improving programming for novice, expert, and end-user programmers.  For example, taking a more human-centered approach by studying how people perform tasks and then designing languages and programming environments around people’s natural tendencies.

“Brad is very deserving of the SIGCHI Lifetime Research Award,” HCII Director Anind Dey said. “He has been building tools to help programmers, data scientists, and end users perform their tasks for over 40 years! His work on supporting programmers has been particularly impactful in the commercial world and it continues to inspire researchers in the HCI and software engineering communities around the world.”

A member of the CHI Academy and a Fellow of the IEEE and ACM, Myers is the winner of nine Best Paper awards and three Most Influential Paper awards. He is the author or editor of 475 publications, including 85 at CHI, and is one of a select few who has attended every CHI conference. Myers has served on the editorial boards of six journals, including HCI, ToCHI and IwC.  Additionally, he has advised over 200 students, including 16 PhD students, many of whom are also professors or are at top research labs.

“The HCII at CMU is the best place in the world to do my kind of research, which has aspects at the intersection of software engineering and HCI,” Myers notes. “In addition to having great students here, there are great collaborators across all the topics of HCI and software engineering."

Myers will receive the Lifetime Achievement in Research Award at the 2017 ACM Conference on Human Factors in Computing Systems (CHI2017), which will be held May 6-11, 2017 in Denver, Colorado. For more information regarding research from Myers, visit his website.

News type

News
          Data Scientist, Advanced Analytics - LogRhythm - Boulder, CO   
LogRhythm is a leading provider of unified security intelligence and analytics solutions that empower organizations to automate the detection, prioritization...
From LogRhythm - Fri, 24 Mar 2017 21:05:24 GMT - View all Boulder, CO jobs
          Senior Statistics and Data Analyst   
IL-Chicago, Senior Statistics and Data Analyst, Behavioral Panel Data Sciences comScore is a technology company focused on the entertainment industry that helps companies manage their marketing dollars. We do this by observing over 2 Million panelists worldwide! We are looking for a Senior Statistics Data Analyst, in our Chicago office, with experience analyzing large data sets focusing on data sampling and a
          Data Scientist - Senior Consultant - Clarity Insights - United States   
Candidates must possess excellent SQL Skills working with RDBMS's such as Oracle, DB2, Redshift, Vertica, Greenplum, or Teradata....
From Clarity Insights - Mon, 17 Apr 2017 21:47:31 GMT - View all United States jobs
          Data Scientist - Principal - Clarity Insights - United States   
Prefer candidates with strong SQL Skills working with RDBMS's such as Oracle, DB2, Greenplum, Redshift or Teradata. Do YOU have a passion for working with Data?...
From Clarity Insights - Fri, 24 Mar 2017 10:04:37 GMT - View all United States jobs
          DATA SCIENCE SOFTWARE DEVELOPER - IRELAND - Overstock.com - Ireland, WV   
Machine learning, data science, or analytics preferred. The Software Developer in Data Science is a skilled Java developer who also takes on many of the...
From Overstock.com - Fri, 23 Jun 2017 19:34:32 GMT - View all Ireland, WV jobs
          (Associate) Data Scientist for Deep Learning Center of Excellence - SAP - Sankt Leon-Rot   
Build Machine Learning models to solve real problems working with real data. Software-Design and Development....
Gefunden bei SAP - Fri, 23 Jun 2017 08:50:58 GMT - Zeige alle Sankt Leon-Rot Jobs
          Software Engineer, .NET, Web, Data Science - RDM - Remote   
Elicit requirements from internal and external stakeholders. Facilitate information sessions with internal and external stakeholders.... $75,000 - $100,000 a year
From RDM - Wed, 28 Jun 2017 18:23:01 GMT - View all Remote jobs
          Data Scientist - Eversight - Palo Alto, CA   
Translate analytic insights into concrete, actionable recommendations for business or product improvement....
From Eversight - Sat, 03 Jun 2017 06:34:21 GMT - View all Palo Alto, CA jobs
          Data Scientist - Dstillery - New York, NY   
Plus strong professional experience in Machine Learning, Statistics, Operations Research or a related field....
From Dstillery - Wed, 07 Jun 2017 14:25:01 GMT - View all New York, NY jobs
          Principal Software Architect - SocialCode - San Francisco, CA   
You will work alongside fellow engineers, data scientists, and business and product leaders to ensure that our systems efficiently scale to support the...
From SocialCode - Tue, 23 May 2017 06:26:04 GMT - View all San Francisco, CA jobs
           Spark Summit West Recap    
This year’s West Coast edition of Spark Summit continued the transition from a data science and data engineering event to an event focused on machine learning and, to a lesser...
          Data Scientist, IS&S Business Operations - Apple - Santa Clara Valley, CA   
As a member of this team, you’ll be providing data-driven insights to help inform the roadmap for many of our top services and commercial platforms, including...
From Apple - Fri, 16 Jun 2017 12:38:01 GMT - View all Santa Clara Valley, CA jobs
          Data Scientist Data Analyst   
Düsseldorf Feste Anstellung Vollzeit Introduction Want to help change the world of recruitment …
          Data Scientist Data Lab   
Responsibilities You work at the leading edge of the energy revolution for our business customers …
          Data Scientist – Data Engineer   
You are a data scientist with a strong background in machine learning and software technologies? …
          DATA SCIENTIST DATA ENGINEER FÜR BIG DATA   
Wachse an technischen Herausforderungen Gehe Deinen nächsten Karriereschritt als DATA SCIENTIST / …
          Clinical Research Data Scientist - Belgium / 85 to 89 EUR PerHour   
Job Title: Clinical Research Data Scientist - Belgium / 85 to 89 EUR PerHour
Salary: Competitive
Benefits:
Location: Belgium, Beerse, Antwerp, Belgium
Company: Elevate Direct Ltd
Posted: 28 June 2017
Expiry: 28 July 2017
Summary: Clinical Research Data Scientist / Beerse, Belgium/ 6 Months Contract / 85 to 89 EUR (Per Hour)
          (USA-VA-Herndon) Manager, GLM Technology   
**Manager, GLM Technology** **Requisition ID: 17013974** **Location\(s\): United States\-Virginia\-Herndon** **US Citizenship Required for this Position: Yes** **Relocation Assistance: No relocation assistance available** **Travel: Yes, 25 % of the Time** Are you interested in the opportunity to work for an industry\-leading company whose work with cutting\-edge technology is driven by something human: the lives our technology protects?If so, Northrop Grumman may be the place for you\.It’s not the systems that drive us: it’s the soldier our systems bring home\. It’s not just the equipment that motivates us: it’s the people our equipment protects\. It’s not the innovation that gets us up in the morning: it’s whom those innovations serve\. We’re united by our work to help people and protect the world\. And that mission makes our team even stronger\. When you join Northrop Grumman, you’ll have the opportunity to connect with coworkers in an environment that’s uniquely caring, diverse, and respectful\. Employees share experiences, insights, perspectives, and creative solutions with some of the best minds in the industry\. We collaborate through integrated product teams, cross\-functional teams, and employee resource groups, while thriving through the support of training and development, mentors and every day coaching, along with extensive health and work/life benefits\. We’re committed to our employees’ professional and personal development and success\. Northrop Grumman recruits top talent with traditional and non\-traditional backgrounds in order to ensure our team is united, connected, skilled, focused and innovative\. An inclusive workplace of people with diverse backgrounds, experiences, and perspectives is the key to our performance\. At Northrop Grumman, we want our employees to bring their whole self to work\.All your different sides are welcome here, as we believe they make our team, our products and our services, that much better\. Job Description Northrop Grumman Technology Services is seeking a Manager of Technology to lead development of technology\-differentiated offerings and performs technical planning, system integration, verification and validation, cost and risk, and supportability and effectiveness analyses for total systems\. Responsibilities include: + Analyses are performed at all levels of total system product to include: concept, design, fabrication, test, installation, operation, maintenance and disposal\. + Ensures the logical and systematic conversion of customer or product requirements into total systems solutions that acknowledge technical, schedule, and cost constraints\. + Performs functional analysis, timeline analysis, detail trade studies, requirements allocation and interface definition studies to translate customer requirements into hardware and software specifications\. + Monitors and evaluates technology trends in disciplines relevant to sustainment and modernization of aviation, space and missile platforms and payloads\. Basic Qualifications: + BS Degree in engineering or related technical discipline with 20 years of related experience\. + Systems engineering, research & development and business development experience\. + Experience devising, bidding and/or implementing services and/or product solutions\. + Experience with generating DoD Architecture Framework \(DoDAF\) views\. + Ability to obtain and maintain a Top Secret clearance with counter intelligence polygraph\. + Must be able to travel CONUS and OCONUS\. Preferred Qualifications: + MBA with BS in Engineering or related technical discipline 18 years of experience\. + PhD Degree in engineering or related technical discipline 15 years of experience\. + Experience within a $100M Aerospace & Defense \(A&D\) profit & loss \(P&L\) business\. + Experience with system\-of\-systems modeling & simulation\. + Experience with delivering performance based logistics \(PBL\) services\. + Experience with operations research, data science and/or systems analysis\. + Experience developing ISR sensors, processing electronics and RF technologies\. + Experience developing applied flight technologies\. + Experience developing airframe technologies\. + Experience developing air vehicle survivability technologies\. + Experience developing data analytics, cognitive and autonomy technologies\. + Experience developing cyber resilience and embedded software support technologies\. + Experience leading mature and advanced technology IR&D and CR&D projects \(TRL 3\-6\)\. Northrop Grumman is committed to hiring and retaining a diverse workforce\. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class\. For our complete EEO/AA and Pay Transparency statement, please visit www\.northropgrumman\.com/EEO \. U\.S\. Citizenship is required for most positions\. **Title:** _Manager, GLM Technology_ **Location:** _Virginia\-Herndon_ **Requisition ID:** _17013974_
          (USA-VA-Herndon) Mission Engineer 2, GLM Mature Technology Group   
**Mission Engineer 2, GLM Mature Technology Group** **Requisition ID: 17013984** **Location\(s\): United States\-Virginia\-Herndon** **US Citizenship Required for this Position: Yes** **Relocation Assistance: No relocation assistance available** **Travel: Yes, 25 % of the Time** Are you interested in the opportunity to work for an industry\-leading company whose work with cutting\-edge technology is driven by something human: the lives our technology protects? If so, Northrop Grumman may be the place for you\. It’s not the systems that drive us: it’s the soldier our systems bring home\. It’s not just the equipment that motivates us: it’s the people our equipment protects\. It’s not the innovation that gets us up in the morning: it’s whom those innovations serve\. We’re united by our work to help people and protect the world\. And that mission makes our team even stronger\. When you join Northrop Grumman, you’ll have the opportunity to connect with coworkers in an environment that’s uniquely caring, diverse, and respectful\. Employees share experiences, insights, perspectives, and creative solutions with some of the best minds in the industry\. We collaborate through integrated product teams, cross\-functional teams, and employee resource groups, while thriving through the support of training and development, mentors and every day coaching, along with extensive health and work/life benefits\. We’re committed to our employees’ professional and personal development and success\. Northrop Grumman recruits top talent with traditional and non\-traditional backgrounds in order to ensure our team is united, connected, skilled, focused and innovative\. An inclusive workplace of people with diverse backgrounds, experiences, and perspectives is the key to our performance\. At Northrop Grumman, we want our employees to bring their whole self to work\. All your different sides are welcome here, as we believe they make our team, our products and our services, that much better\. Job Description Northrop Grumman Technology Services is seeking a Mission Engineer to join an advanced technology evaluation group and develop new and/or integrate existing system simulation frameworks, performance models and algorithms, threat models and command and control models\. Simulates real\-time operations and develops software that simulates behavior of systems\. Develops integrates and uses advanced graphical user interfaces and visualization tools\. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures\. Performs operational analysis and mission effectiveness analysis\. Monitors and evaluates technology trends in disciplines relevant to sustainment and modernization of aviation, space and missile platforms and payloads\. Basic Qualifications: + BS Degree in Engineering or related technical discipline and 2 years of relevant experience\. + Ability to obtain and maintain a Secret clearance\. + Must be able to travel CONUS\. Preferred Qualifications: + MS Degree in engineering or related technical discipline 0 years of experience\. + PhD Degree in engineering or related technical discipline 0 years of experience\. + Ability to obtain and maintain a Top Secret clearance with counter intelligence polygraph\. + Systems engineering and/or research & development and/or business development experience\. + Experience devising, bidding and/or implementing services and/or product solutions\. + Experience with system\-of\-systems modeling & simulation\. + Experience with delivering performance based logistics \(PBL\) services\. + Experience with operations research, data science and/or systems analysis\. + Experience developing ISR sensors, processing electronics and RF technologies\. + Experience developing applied flight technologies\. + Experience developing airframe technologies\. + Experience developing air vehicle survivability technologies\. + Experience developing data analytics, cognitive and autonomy technologies\. + Experience developing cyber resilience and embedded software support technologies\. + Experience with mature technology IR&D and CR&D projects \(TRL 3\-6\)\. + Experience with modeling DoD Architecture Framework \(DoDAF\) views\. Northrop Grumman is committed to hiring and retaining a diverse workforce\. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class\. For our complete EEO/AA and Pay Transparency statement, please visit www\.northropgrumman\.com/EEO \. U\.S\. Citizenship is required for most positions\. **Title:** _Mission Engineer 2, GLM Mature Technology Group_ **Location:** _Virginia\-Herndon_ **Requisition ID:** _17013984_
          (USA-VA-Herndon) Mission Engineer 5, GLM Advanced Technology Group   
**Mission Engineer 5, GLM Advanced Technology Group** **Requisition ID: 17013981** **Location\(s\): United States\-Virginia\-Herndon** **US Citizenship Required for this Position: Yes** **Relocation Assistance: No relocation assistance available** **Travel: Yes, 25 % of the Time** Are you interested in the opportunity to work for an industry\-leading company whose work with cutting\-edge technology is driven by something human: the lives our technology protects? If so, Northrop Grumman may be the place for you\. It’s not the systems that drive us: it’s the soldier our systems bring home\. It’s not just the equipment that motivates us: it’s the people our equipment protects\. It’s not the innovation that gets us up in the morning: it’s whom those innovations serve\. We’re united by our work to help people and protect the world\. And that mission makes our team even stronger\. When you join Northrop Grumman, you’ll have the opportunity to connect with coworkers in an environment that’s uniquely caring, diverse, and respectful\. Employees share experiences, insights, perspectives, and creative solutions with some of the best minds in the industry\. We collaborate through integrated product teams, cross\-functional teams, and employee resource groups, while thriving through the support of training and development, mentors and every day coaching, along with extensive health and work/life benefits\. We’re committed to our employees’ professional and personal development and success\. Northrop Grumman recruits top talent with traditional and non\-traditional backgrounds in order to ensure our team is united, connected, skilled, focused and innovative\. An inclusive workplace of people with diverse backgrounds, experiences, and perspectives is the key to our performance\. At Northrop Grumman, we want our employees to bring their whole self to work\. All your different sides are welcome here, as we believe they make our team, our products and our services, that much better\. Job Description Northrop Grumman Technology Services is seeking a Mission Engineer to join an advanced technology evaluation group and perform technical planning, system integration, verification and validation, cost and risk, and supportability and effectiveness analyses for total systems\. Analyses are performed at all levels of total system product to include: concept, design, fabrication, test, installation, operation, maintenance and disposal\. Ensures the logical and systematic conversion of customer or product requirements into total systems solutions that acknowledge technical, schedule, and cost constraints\. Performs functional analysis, timeline analysis, detail trade studies, requirements allocation and interface definition studies to translate customer requirements into hardware and software specifications\. Monitors and evaluates technology trends in disciplines relevant to sustainment and modernization of aviation, space and missile platforms and payloads\. Basic Qualifications: + BS Degree in Engineering or related technical discipline and 14 years of relevant experience\. + Systems engineering, research & development and business development experience\. + Experience devising, bidding and/or implementing services and/or product solutions\. + Experience with system\-of\-systems modeling & simulation\. + Ability to obtain and maintain a Top Secret clearance with counter intelligence polygraph\. + Must be able to travel CONUS and OCONUS\. Preferred Qualifications: + MS Degree in engineering or related technical discipline 12 years of experience\. + PhD Degree in engineering or related technical discipline 9 years of experience\. + Experience within a $100M Aerospace & Defense \(A&D\) profit & loss \(P&L\) business\. + Experience with delivering performance based logistics \(PBL\) services\. + Experience with operations research, data science and/or systems analysis\. + Experience developing ISR sensors, processing electronics and RF technologies\. + Experience developing applied flight technologies\. + Experience developing airframe technologies\. + Experience developing air vehicle survivability technologies\. + Experience developing data analytics, cognitive and autonomy technologies\. + Experience developing cyber resilience and embedded software support technologies\. + Experience leading advanced technology IR&D and CR&D projects \(TRL 3\-6\)\. + Experience with generating DoD Architecture Framework \(DoDAF\) views\. Northrop Grumman is committed to hiring and retaining a diverse workforce\. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class\. For our complete EEO/AA and Pay Transparency statement, please visit www\.northropgrumman\.com/EEO \. U\.S\. Citizenship is required for most positions\. **Title:** _Mission Engineer 5, GLM Advanced Technology Group_ **Location:** _Virginia\-Herndon_ **Requisition ID:** _17013981_
          (USA-VA-Herndon) Mission Engineer 5, GLM Mature Technology Group   
**Mission Engineer 5, GLM Mature Technology Group** **Requisition ID: 17013976** **Location\(s\): United States\-Virginia\-Herndon** **US Citizenship Required for this Position: Yes** **Relocation Assistance: No relocation assistance available** **Travel: Yes, 25 % of the Time** Are you interested in the opportunity to work for an industry\-leading company whose work with cutting\-edge technology is driven by something human: the lives our technology protects? If so, Northrop Grumman may be the place for you\. It’s not the systems that drive us: it’s the soldier our systems bring home\. It’s not just the equipment that motivates us: it’s the people our equipment protects\. It’s not the innovation that gets us up in the morning: it’s whom those innovations serve\. We’re united by our work to help people and protect the world\. And that mission makes our team even stronger\. When you join Northrop Grumman, you’ll have the opportunity to connect with coworkers in an environment that’s uniquely caring, diverse, and respectful\. Employees share experiences, insights, perspectives, and creative solutions with some of the best minds in the industry\. We collaborate through integrated product teams, cross\-functional teams, and employee resource groups, while thriving through the support of training and development, mentors and every day coaching, along with extensive health and work/life benefits\. We’re committed to our employees’ professional and personal development and success\. Northrop Grumman recruits top talent with traditional and non\-traditional backgrounds in order to ensure our team is united, connected, skilled, focused and innovative\. An inclusive workplace of people with diverse backgrounds, experiences, and perspectives is the key to our performance\. At Northrop Grumman, we want our employees to bring their whole self to work\. All your different sides are welcome here, as we believe they make our team, our products and our services, that much better\. Job Description Northrop Grumman Technology Services is seeking a Mission Engineer to join a mature technology evaluation group and perform technical planning, system integration, verification and validation, cost and risk, and supportability and effectiveness analyses for total systems\. Analyses are performed at all levels of total system product to include: concept, design, fabrication, test, installation, operation, maintenance and disposal\. Ensures the logical and systematic conversion of customer or product requirements into total systems solutions that acknowledge technical, schedule, and cost constraints\. Performs functional analysis, timeline analysis, detail trade studies, requirements allocation and interface definition studies to translate customer requirements into hardware and software specifications\. Monitors and evaluates technology trends in disciplines relevant to sustainment and modernization of aviation, space and missile platforms and payloads\. Basic Qualifications: + BS Degree in Engineering or related technical discipline and 14 years of relevant experience\. + Systems engineering, research & development and business development experience\. + Experience devising, bidding and/or implementing services and/or product solutions\. + Experience with system\-of\-systems modeling & simulation\. + Ability to obtain and maintain a Top Secret clearance with counter intelligence polygraph\. + Must be able to travel CONUS and OCONUS\. Preferred Qualifications: + MS Degree in engineering or related technical discipline 12 years of experience\. + PhD Degree in engineering or related technical discipline 9 years of experience\. + Experience within a $100M Aerospace & Defense \(A&D\) profit & loss \(P&L\) business\. + Experience with delivering performance based logistics \(PBL\) services\. + Experience with operations research, data science and/or systems analysis\. + Experience developing ISR sensors, processing electronics and RF technologies\. + Experience developing applied flight technologies\. + Experience developing airframe technologies\. + Experience developing air vehicle survivability technologies\. + Experience developing data analytics, cognitive and autonomy technologies\. + Experience developing cyber resilience and embedded software support technologies\. + Experience leading advanced technology IR&D and CR&D projects \(TRL >6\)\. + Experience with generating DoD Architecture Framework \(DoDAF\) views\. Northrop Grumman is committed to hiring and retaining a diverse workforce\. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class\. For our complete EEO/AA and Pay Transparency statement, please visit www\.northropgrumman\.com/EEO \. U\.S\. Citizenship is required for most positions\. **Title:** _Mission Engineer 5, GLM Mature Technology Group_ **Location:** _Virginia\-Herndon_ **Requisition ID:** _17013976_
          (USA-VA-Herndon) Mission Engineer 3, GLM Mature Technology Group   
**Mission Engineer 3, GLM Mature Technology Group** **Requisition ID: 17013979** **Location\(s\): United States\-Virginia\-Herndon** **US Citizenship Required for this Position: Yes** **Relocation Assistance: No relocation assistance available** **Travel: Yes, 25 % of the Time** Are you interested in the opportunity to work for an industry\-leading company whose work with cutting\-edge technology is driven by something human: the lives our technology protects? If so, Northrop Grumman may be the place for you\. It’s not the systems that drive us: it’s the soldier our systems bring home\. It’s not just the equipment that motivates us: it’s the people our equipment protects\. It’s not the innovation that gets us up in the morning: it’s whom those innovations serve\. We’re united by our work to help people and protect the world\. And that mission makes our team even stronger\. When you join Northrop Grumman, you’ll have the opportunity to connect with coworkers in an environment that’s uniquely caring, diverse, and respectful\. Employees share experiences, insights, perspectives, and creative solutions with some of the best minds in the industry\. We collaborate through integrated product teams, cross\-functional teams, and employee resource groups, while thriving through the support of training and development, mentors and every day coaching, along with extensive health and work/life benefits\. We’re committed to our employees’ professional and personal development and success\. Northrop Grumman recruits top talent with traditional and non\-traditional backgrounds in order to ensure our team is united, connected, skilled, focused and innovative\. An inclusive workplace of people with diverse backgrounds, experiences, and perspectives is the key to our performance\. At Northrop Grumman, we want our employees to bring their whole self to work\. All your different sides are welcome here, as we believe they make our team, our products and our services, that much better\. Job Description Northrop Grumman Technology Services is seeking a Mission Engineer to join a mature technology evaluation group and develop new and/or integrate existing system simulation frameworks, performance models and algorithms, threat models and command and control models\. Simulates real\-time operations and develops software that simulates behavior of systems\. Develops integrates and uses advanced graphical user interfaces and visualization tools\. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures\. Performs operational analysis and mission effectiveness analysis\. Monitors and evaluates technology trends in disciplines relevant to sustainment and modernization of aviation, space and missile platforms and payloads\. Basic Qualifications: + BS Degree in Engineering or related technical discipline and 5 years of related experience\. + Systems engineering and/or research & development and/or business development experience\. + Experience devising, bidding and/or implementing services and/or product solutions\. + Experience with system\-of\-systems modeling & simulation\. + Ability to obtain and maintain a Secret clearance\. + Must be able to travel CONUS\. Preferred Qualifications: + MS Degree in engineering or related technical discipline 3 years of experience\. + PhD Degree in engineering or related technical discipline 0 years of experience\. + Ability to obtain and maintain a Top Secret clearance with counter intelligence polygraph\. + Experience with delivering performance based logistics \(PBL\) services\. + Experience with operations research, data science and/or systems analysis\. + Experience developing ISR sensors, processing electronics and RF technologies\. + Experience developing applied flight technologies\. + Experience developing airframe technologies\. + Experience developing air vehicle survivability technologies\. + Experience developing data analytics, cognitive and autonomy technologies\. + Experience developing cyber resilience and embedded software support technologies\. + Experience with mature technology IR&D and CR&D projects \(TRL >6\)\. + Experience with modeling DoD Architecture Framework \(DoDAF\) views\. Northrop Grumman is committed to hiring and retaining a diverse workforce\. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class\. For our complete EEO/AA and Pay Transparency statement, please visit www\.northropgrumman\.com/EEO \. U\.S\. Citizenship is required for most positions\. **Title:** _Mission Engineer 3, GLM Mature Technology Group_ **Location:** _Virginia\-Herndon_ **Requisition ID:** _17013979_
          (USA-VA-Herndon) Manager, GLM Program Performance   
**Manager, GLM Program Performance** **Requisition ID: 17013708** **Location\(s\): United States\-Virginia\-Herndon** **US Citizenship Required for this Position: Yes** **Relocation Assistance: Relocation assistance may be available** **Travel: Yes, 25 % of the Time** Are you interested in the opportunity to work for an industry\-leading company whose work with cutting\-edge technology is driven by something human: the lives our technology protects? If so, Northrop Grumman may be the place for you\. It’s not the systems that drive us: it’s the soldier our systems bring home\. It’s not just the equipment that motivates us: it’s the people our equipment protects\. It’s not the innovation that gets us up in the morning: it’s whom those innovations serve\. We’re united by our work to help people and protect the world\. And that mission makes our team even stronger\. When you join Northrop Grumman, you’ll have the opportunity to connect with coworkers in an environment that’s uniquely caring, diverse, and respectful\. Employees share experiences, insights, perspectives, and creative solutions with some of the best minds in the industry\. We collaborate through integrated product teams, cross\-functional teams, and employee resource groups, while thriving through the support of training and development, mentors and every day coaching, along with extensive health and work/life benefits\. We’re committed to our employees’ professional and personal development and success\. Northrop Grumman recruits top talent with traditional and non\-traditional backgrounds in order to ensure our team is united, connected, skilled, focused and innovative\. An inclusive workplace of people with diverse backgrounds, experiences, and perspectives is the key to our performance\. At Northrop Grumman, we want our employees to bring their whole self to work\. All your different sides are welcome here, as we believe they make our team, our products and our services, that much better\. Job Description Northrop Grumman Technology Services is seeking a Manager of Programs to lead development and deployment of the GLM Program Execution Framework \(PEF\) to ensure problem free execution of GLM programs\. Responsibilities include: + Ensures GLM PMs have a framework to: direct all phases of programs from inception through completion; manage the cost, schedule and technical performance of company programs or subsystems of major programs; + Participate in the negotiation of contract and contract changes; coordinate the preparation of proposals, business plans, proposal work statements and specifications, operating budgets and financial terms/conditions of contract; + Act as primary customer contact for program activities, leading program review sessions with customer to discuss cost, schedule, and technical performance; + Establish design concepts, criteria and engineering efforts for product research, development, integration and test; + Develop new business or expands the product line with the customer; establish milestones and monitors adherence to master plans and schedules, identifies program problems and obtains solutions, such as allocation of resources or changing contractual specifications; + Direct the work of employees assigned to the program from technical, manufacturing and administrative areas\. Basic Qualifications: + BS Degree in Engineering or related technical discipline and at least 20 years of relevant experience\. + Experience within a $100M Aerospace & Defense \(A&D\) profit & loss \(P&L\) business\. + Experience devising, bidding and/or implementing services and/or product solutions\. + Must be able to travel CONUS\. + Able to perform work in an approved environment during specified work hours Preferred Qualifications: + MBA with BS in Engineering or related technical discipline 18 years of experience\. + PhD Degree in engineering or related technical discipline 15 years of experience\. + Systems engineering, program management and business development experience\. + Experience with delivering performance based logistics \(PBL\) services\. + Experience with operations research, data science and/or systems analysis\. Northrop Grumman is committed to hiring and retaining a diverse workforce\. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class\. For our complete EEO/AA and Pay Transparency statement, please visit www\.northropgrumman\.com/EEO \. U\.S\. Citizenship is required for most positions\. **Title:** _Manager, GLM Program Performance_ **Location:** _Virginia\-Herndon_ **Requisition ID:** _17013708_
          (USA-OH-Columbus) Data Analytics Specialist (Big Data)   
#claims Nationwide is seeking a Sr Data Analytics Consultant to join its External Anti-Fraud Team. This individual will be accountable for building advanced predictive analytic solutions. The candidate MUST HAVE hands on development experience with Big Data (Hadoop) technologies and familiarity with Data Analysis and Data Science techniques. As a member of the Predictive Analytics Team, this individual may be involved with external data analytics across a variety of enterprise functions, which includes Underwriting, Claims, and Product. JOB SUMMARY: Actively participates in all phases of analytic lifecycle supporting the business unit. Analyzes trends and patterns in structured and unstructured data in support of business problem solving. Identifies and communicates meaningful insights and provides input to the project team and business stakeholders. Will help align findings and insights to deliver business appropriate recommendations. May lead small projects. REPORTING RELATIONSHIPS: Reports to Director/Manager/Consultant CORE JOB DUTIES AND RESPONSIBILITIES: + Responsible for creating, packaging, and communicating analytic work (synthesis) using appropriate statistical models and medium for relevant insights and applicable data visualizations.Use statistical techniques to determine patterns and predict future business outcomes and trends. + Responsible for effectively synthesizing own project work.Plans and manages execution of own work, participates in planning, and delivers on commitments.May participate in the development of scope, risk/control matrix, project timelines, and assignments. + Participates in the delivery of analytic work that supports business objectives and priorities. + Applies appropriate quantitative techniques and methods to solve business problems. Uses analysis methods such as classification, collaborative filtering, association rules, time-series analysis, regression, statistical inference, and validation methods to support business decisions. + Responsible for building analytic applications using statistical, database, and/or general programming languages and tools.Leverage technology for data management, report automation and/or ad hoc reporting for end users. + Actively participate in the creation of reports, including the documentation of issues and observations. + Maintain and support data management practices for structured and unstructured data sources. + Build and maintain relationships and serve as a trusted analytical resource to clients, internal risk partners, and other stakeholders. + Actively contribute to the continuous improvement of department processes through ongoing initiatives. + Performs other duties as assigned. MINIMUM JOB REQUIREMENTS: Education: Undergraduate studies in statistics, mathematics, analytics or related field with post graduate studies preferred. Experience: Typically 5 or more years related experience with ACL, SAS, SPSS and other statistical software. Experience with analytical problem solving; working with large structured and unstructured data sets and databases to identify trends and opportunities. Professional experience in insurance, financial services or a related industry preferred. Knowledge: Understanding of and knowledge to conduct various statistical, econometric, quantitative analysis techniques. Understanding of and working knowledge to conduct data management and extraction of large analytical platforms. Knowledge of quantitative theories and techniques and their role in business context. Relevant Property and Casualty industry or business knowledge is preferred. Knowledge of statistical software and databases such as ACL, R, SAS, SPSS, MatLab, Teradata, Oracle, DB2, SQL Server, Netezza, etc. Understands data structures operational vs analytical data structures, normalization, etc. and SQL Assistant, WinSQL, and Toad, etc. Knowledge of general purpose programming languages (Python, Java, C++, etc) including domain specific languages, static and dynamic languages, application design and development, test driven development, and agile practices. Possesses an understanding of various operating system platforms (i.e., Windows 200X, UNIX, OS/400, etc.); relational database security concepts and platforms (i.e., Oracle, Microsoft SQL Server and DB2); enterprise network and systems architecture concepts and technologies; SDLC and generally accepted IT project management methodologies and approaches; and information security/protection concept. Skills/Competencies: Possesses core statistics skills including an understanding of probability and its application to the analysis of data. Able to evaluate sources of variation and identify influential factors/features. Experienced with statistical process control, process monitoring and diagnostics. Ability to conduct data manipulation and analyses using analysis methods such as classification, collaborative filtering, association rules, time-series analysis, regression, statistical inference, and validation methods. Ability to understand business processes and the data produced by them. Capable of developing distinctive data visualizations. Critical Thinking and Problem Solving – uses rigorous logic and methods to solve difficult problems with effective solutions, probes different sources for answers, and can see hidden problems. Communication – is able to clearly and succinctly communicate information and ideas through a variety of media in a manner that engages the audience and helps them understand and retain the message. Time Management – is able to plan and prioritize tasks, uses time effectively and efficiently, and can work on multiple concurrent projects. Values: Regularly and consistently demonstrates the Nationwide Values and Guiding Behaviors. Staffing Exceptions to the above minimum job requirements must be approved by the: hiring manager’s leader and HRBP. JOB CONDITIONS: Overtime Eligibility: Not Eligible (Exempt) Working Conditions: Normal office environment. Extended and non-standard work hours based on project and customer deliverables. ADA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties. Job Family/Function: ADM/DAN Job Evaluation Activity: Evaluated 9/2016 SNG IND123
          Data Sciences Manager - Sony Electronics - San Diego, CA   
Proficiency data mining software (Python, SQL, R and/or SAS); Our Scientist will empower members of the Marketing Team to drive consumer action based on shared...
From Sony Electronics - Fri, 23 Jun 2017 19:36:30 GMT - View all San Diego, CA jobs
          Rapalytics, the home of Rap Data Science   
Introducing Rapalytics, the home of Rap Data Science!

Rapalytics is a website dedicated to analyzing and extracting useful information from Rap Lyrics. Remember all those arguments about who the most lyrical rapper is? Now you can use Rapalytics to put that to rest! Find out who has the dopest rhymes, largest vocabulary, slickest similes or the dirtiest mouth! With over 150 artists and over 1000 albums, the list only keeps growing! With v1.2 you can now see how see how Rappers stack up against each other across their lyrical features in the Rapalytics Battleground!

          Data Scientist   

          Why do stacked ensemble models win data science competitions?   

Ensemble methods are commonly used to boost predictive accuracy by combining the predictions of multiple machine learning models. The traditional wisdom has been to combine so-called “weak” learners. However, a more modern approach is to create an ensemble of a well-chosen collection of strong yet diverse models. Building powerful ensemble models [...]

The post Why do stacked ensemble models win data science competitions? appeared first on Subconscious Musings.


          Which machine learning algorithm should I use?   

This resource is designed primarily for beginner to intermediate data scientists or analysts who are interested in identifying and applying machine learning algorithms to address the problems of their interest. A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is “which algorithm should [...]

The post Which machine learning algorithm should I use? appeared first on Subconscious Musings.


          Machine learning fun at KDD   

Who says machine learning can't be fun? A crew of us from SAS went to San Francisco for the recent KDD conference, which bills itself as "a premier interdisciplinary conference, [which]brings together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data." We brought [...]

The post Machine learning fun at KDD appeared first on Subconscious Musings.


          Love a Brand But Wonder Why? New Book Says It’s the People   
Kronos Incorporated today announced availability of Your Last Differentiator: Human Capital, authored by Gregg Gordon, vice president of the data science practice group at Kronos.
          A New Urban Objects Detection Framework Using Weakly Annotated Sets. (arXiv:1706.09308v1 [cs.CV])   

Authors: Eric Keiji, Gabriel Ferreira, Claudio Silva, Roberto M. Cesar Jr

Urban informatics explore data science methods to address different urban issues using intensively based on data. The large variety and quantity of data available should be explored but this brings important challenges. For instance, although there are powerful computer vision methods that may be explored, they may require large annotated datasets. In this work we propose a novel approach to automatically creating an object recognition system with minimal manual annotation. The basic idea behind the method is to use large input datasets using available online cameras on large cities. A off-the-shelf weak classifier is used to detect an initial set of urban elements of interest (e.g. cars, pedestrians, bikes, etc.). Such initial dataset undergoes a quality control procedure and it is subsequently used to fine tune a strong classifier. Quality control and comparative performance assessment are used as part of the pipeline. We evaluate the method for detecting cars based on monitoring cameras. Experimental results using real data show that despite losing generality, the final detector provides better detection rates tailored to the selected cameras. The programmed robot gathered 770 video hours from 24 online city cameras (\~300GB), which has been fed to the proposed system. Our approach has shown that the method nearly doubled the recall (93\%) with respect to state-of-the-art methods using off-the-shelf algorithms.


          Intermediate Software Developer - Synopsys - Kanata, ON   
Experience in modern classification algorithms and modern Data Science languages and libraries (R language and/or Pandas in Python)....
From Synopsys - Tue, 28 Feb 2017 22:34:18 GMT - View all Kanata, ON jobs
          Data Scientist - Keyhole.co - Toronto, ON   
*Company Description: * Today, Keyhole is the #1 company worldwide for Hashtag Analytics. (Not just corporate hubris, try a google search.) This leadership
From Indeed - Fri, 17 Mar 2017 14:01:58 GMT - View all Toronto, ON jobs
          Data Science (Team Lead) - Unata Inc. - Toronto, ON   
Excellent object-oriented software design skills, and strong knowledge of Python (+ for Pandas, Scikits Learn, Numpy). LEAD DATA SCIENTIST....
From Unata Inc. - Fri, 05 May 2017 10:56:55 GMT - View all Toronto, ON jobs
          Resources Group: Research Manager - Data Science and Digital Marketing Agency   
£35000-40000 per annum: Resources Group: Working across a range of international projects in both commercial and political sectors, this is your chance to push yourself to the forefront London
          Which Data Analytics Jobs Offer the Best Salary?   
The demand for IT pros with data science and analytics skills is expected to grow significantly. Find out which data skills are the most highly sought.
          Data Scientist Artificial Intelligence R&D   

          DATA SCIENCE SOFTWARE DEVELOPER - IRELAND - Overstock.com - Ireland, WV   
Design, develop, and maintain scalable and performant Java webservices. The Software Developer in Data Science is a skilled Java developer who also takes on...
From Overstock.com - Fri, 23 Jun 2017 19:34:32 GMT - View all Ireland, WV jobs
          Data Scientist, Advanced Analytics - LogRhythm - Boulder, CO   
Working hands-on/embedded with engineering teams to develop and rapidly deliver scalable, reliable, performant product that provides security value to end-users...
From LogRhythm - Fri, 24 Mar 2017 21:05:24 GMT - View all Boulder, CO jobs
          Data Scientist, Decision Analytics - EXL - Jersey City, NJ   
EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries....
From EXL - Thu, 25 May 2017 11:14:52 GMT - View all Jersey City, NJ jobs
          Data Scientist with NLP Experience - EXL - Jersey City, NJ   
EXL Analytics serves clients across industries including healthcare, banking, insurance, retail and logistics. EXL Analytics is developing solutions for some of...
From EXL - Thu, 04 May 2017 23:18:32 GMT - View all Jersey City, NJ jobs
          Analista - Desarrollador de datos - Novanotio - Las Tablas (Madrid)   
En Novanotio buscamos un Analista de datos. Tareas: La persona seleccionada realizará funciones de toma de algoritmos desarrollados por Data Scientist, y refactorizarlos para ponerlos en producción. Requisitos: Capacidad para entender algoritmos complejos (machine learning, regresiones, etc.) desarrollados por Data Scientist. Lenguajes R, Scala, python. Tecnología Spark. Ofrecemos: Proyecto estable de larga duración en sector bancario. Salario negociable en función de...
          Data Scientist, Service Operations - Tesla Motors - Fremont, CA   
Experience with Java, Tableau, Hive, Spark, MongoDB is a plus. We are looking for a Data Scientist for the most progressive vehicle brand in the world....
From Tesla Motors - Fri, 26 May 2017 02:10:40 GMT - View all Fremont, CA jobs
          Cyber Computer Scientist II/ Data Scientist - Battelle - Columbus, OH   
Experience with high level software languages (Python preferred, or demonstrated Java, C#, C++, Go, Haskell, Rust). Battelle is guided by a founding mission....
From Battelle - Wed, 14 Jun 2017 10:30:07 GMT - View all Columbus, OH jobs
          Data Science Apprentice - Predictive Science - United States   
In many ways this is like you are starting your own venture as a freelance data scientist owning your own business....
From Predictive Science - Sat, 11 Mar 2017 08:05:32 GMT - View all United States jobs
          Senior Data Scientist - Algorithm Experimentation - Netflix - Los Gatos, CA   
Experience with distributed analytic processing technologies (Hadoop, Hive, Pig, Presto, MapReduce, Spark)....
From Netflix - Wed, 29 Mar 2017 21:02:02 GMT - View all Los Gatos, CA jobs
          Data Scientist, IS&S Business Operations - Apple - Santa Clara Valley, CA   
Experience with Spark and/or Presto is highly desirable. Apple is searching for a highly-skilled data scientist to join the Analytics and Data Products team in...
From Apple - Fri, 16 Jun 2017 12:38:01 GMT - View all Santa Clara Valley, CA jobs
          Data Scientist, Platform Engineering  - Apple - Santa Clara Valley, CA   
Familiarity with Big Data tools like Spark, Presto, Hive etc. At Apple, we work every day to create products that enrich people’s lives....
From Apple - Thu, 08 Jun 2017 12:34:43 GMT - View all Santa Clara Valley, CA jobs
          Data Scientist - Under Armour - California   
Ideally, has experience with big data technologies like Spark, Hive, Presto, etc. As an established leader in performance and innovation, Under Armour Connected...
From Under Armour - Wed, 19 Apr 2017 16:15:18 GMT - View all California jobs
          (USA-WA-Seattle) Go To Market - Analytics Senior Manager   
Title: Go To Market - Analytics Senior Manager Location: USA-West Other Locations: USA-West Job Number: 00489985 ANALYTICS INDUSTRY VALUE TEAM SENIOR MANAGER The digital revolution is changing everything. It’s everywhere – transforming how we work and play. Accenture Digital’s 36,000 professionals are driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. At the forefront of digital, you’ll create it, own it and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises. Join us and become an integral part of our experienced digital team with the credibility, expertise and insight clients depend on. Accenture Analytics, part of Accenture Digital, helps clients to use analytics and artificial intelligence to drive actionable insights, at scale. We apply sophisticated algorithms, data engineering and visualization to extract business insights and help clients turn those insights into actions that drive tangible outcomes—to improve their performance and disrupt their markets. Accenture Analytics is a leader in Analytics, with deep industry and technical experience. We provide services and solutions that include Analytics Advisory, Data Science, Data Engineering and Analytics-as-a-Service. ROLE DESCRIPTION: ANALYTICS IVT SENIOR MANAGER Analytics Industry Value Teams are an integral part of Accenture’s Analytics practice, partnering with our largest clients to define and enable insights-led transformation. As a Senior Manager in our practice you will help shape and sell industry specific programs, including definition of the analytics vision & strategies, redefine the operating model & talent strategy, and manage the change journey to deliver sustainable business value. You will act as the architect for our most transformative opportunities, enabling an end-to-end analytics journey by bringing the best of our Accenture Analytics organization. You will also play a key role on the leadership team – building a practice, assets, and thought leadership. RESPONSIBILITIES: 1. Support Go To Market activities for the industry value team for Communications, Media, & Technology industries. Work with operations and industry value teams (IVT) to schedule and define immersion sessions Work with Operating Unit (OU) Analytics leads to define deal shape for core IVT offering Work with OU lead to manage pipeline 3. Sales Origination & Business Development Educate internal Accenture stakeholders about the IVT Team and offerings Facilitate the development of “request for proposals” responses and contract development Lead the development of businesses cases for further project sales as determined by the practice 4. Practice & Offering Management Shape IVT assets to accelerate sales and delivery Drive the analytics innovation agenda, including publishable thought leadership Play an active role building a practice including capability development and recruiting Identify and help bring into the practice talented individuals both internally from Accenture as well as externally REQUIRED SKILLS : General management consulting skills Demonstrated ability to lead complex programs Develop deep understanding of IVT offerings Commercial deal shaping Client Delivery & Relationship Management Ability to interact with and influence Manager/ Director/VP Ability to interpret the results of analytical insights and translate results to the client in business context to drive value Able to explain complex concepts in non-technical language Strong story-telling ability Qualifications: YOUR EXPERIENCE: Basic Qualifications: Bachelor’s degree Minimum of 5-7 years of consulting experience with proven track record of making significant client impact and value creation Minimum of 10 years of experience in designing and utilizing analytic solutions in enterprise-wide organizations with a specialty in marketing, sales, and service domains Superior understanding of how to manage client relationship, deliver analytics value, and influence senior clients to define and expand data-driven strategies into new applications and markets Masters level degree in a quantitative field such as statistics, econometrics in Economics, Mathematics, Statistics, Marketing, or Operations Analysis, PhD is a plus Minimum of 5 years of program mgmt. and business transformation Meet travel requirements, up to 50% SET YOURSELF APART: Preferred Skills: Exceptional presentation skills – ability to convey technology and business value propositions Strong Data Management Technology background Value based constructs 5 years of experience interacting with clients of all levels to review expected outputs, applicability to business challenges, and model measurement Well connected with cutting-edge analytics techniques and be confident about how to apply them to generate insights and recommendations 3 years of experience guiding the data formulation process and exploratory data analysis 5 years of experience guiding and managing a team of practitioners to execute analytics solutions, both onshore and offshore Proven ability to manage multiple simultaneous work streams and shift / adjust resources to achieve optimal results Evidence of thought leadership in defining innovative analytics within multiple complex applications spanning marketing, risk, and cost reduction Excellent communication skills to drive thought-provoking dialogs with senior clients Professional Skill Requirements Proven ability to build, manage and foster a team-oriented environment Proven ability to work creatively and analytically in a problem-solving environment Desire to work in an information systems environment Excellent communication (written and oral) and interpersonal skills Excellent leadership and management skills OUR COMMITMENT TO YOU Your entrepreneurial spirit and vision will be rewarded, and your success will fuel opportunities for career advancement. You will make a difference for some pretty impressive clients. Accenture serves 94 of the Fortune Global 100 and more than 80 percent of the Fortune Global 500. You will be an integral part of a market-leading analytics organization, including the largest and most diversified group of digital, technology, business process and outsourcing professionals in the world. You can leverage our global team to support analytics innovation workshops, rapid capability development, enablement and managed services. You will have access to Accenture’s deep industry and functional expertise. We operate across more than 40 industries and have hundreds of offerings addressing key business and technology issues. Through our global network, we bring unparalleled experience and comprehensive capabilities across industries and business functions, and extensive research on the world’s most successful companies. You will also be able to tap into the continuous innovation of our Accenture Technology Labs and Innovation Centers, as well as top universities such as MIT through our academic alliance program. You will have access to distinctive analytics assets that we use to accelerate delivering value to our clients including more than 550 analytics assets underpinned by a strong information management and BI technology foundation. Accenture has earned more than 475 patents and patents pending globally for software assets, data- and analytic-related methodologies and content. As the world’s largest independent technology services provider, we are agnostic about technology but have very clear viewpoints about what is most appropriate for a client’s particular challenge. You will have access to our alliances with market-leading technology providers and collaborative relationships with emerging players in the analytics and big data space—the widest ecosystem in the industry. These alliances bring together Accenture’s extensive analytics capabilities and alliance providers’ technology, experience and innovation to power analytics-based solutions. You will have access to the best talent. Accenture has a team of more than 36,000 digital professionals including technical architects, big data engineers, data scientists and business analysts, as well as user digital strategists and experience designers. Along with a competitive salary, Accenture offers a comprehensive package that includes generous paid time off, 401K match and an employee healthcare plan. Learn more about our extensive rewards and benefits here: Benefits . CALL TO ACTION Now is the time to become a digital disrupter. The opportunity is here—what’s stopping you from pursuing it? Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status). Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities. Equal Employment Opportunity All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Accenture is committed to providing veteran employment opportunities to our service men and women. Job: Analytics
          Java Developer (m/w) - NorCom Information Technology - Sindh   
Deine Aufgaben › Du bist Teil unseres agilen Teams von Entwicklern, Data Scientists und Consultants und arbeitest mit ihnen an innovativsten Projekten im Big
From NorCom Information Technology - Sat, 17 Jun 2017 07:31:38 GMT - View all Sindh jobs
          Data Scientist (m/w) - NorCom Information Technology - Sindh   
Deine Aufgaben › Du berätst unsere Kunden zum Einsatz von Big Data Technologien und revolutionierst ihre Daten-Welt, indem Du Velocity – Variety - Value
From NorCom Information Technology - Sat, 17 Jun 2017 07:31:37 GMT - View all Sindh jobs
          EMEA Business analytics & data scientist - HP - Bangalore, Karnataka   
We inform you and you agree that HP may provide your personal data to government, municipal institutions, banks, companies, corporate bodies and individuals,...
From HP - Wed, 07 Jun 2017 11:38:53 GMT - View all Bangalore, Karnataka jobs
          Data Architect - Data Scientist - JP Morgan Chase - Columbus, OH   
Build the firm’s business metadata repository in partnership with the Chief Data Office. Adopting industry leading technologies to support best-in-class...
From JPMorgan Chase - Wed, 21 Jun 2017 13:42:24 GMT - View all Columbus, OH jobs
          (USA-DE-Dover) Staff Analytics Engineer   
**About Us:** GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. At GE Digital, we are creating technology and solutions to enable social, mobile, analytical and cloud capabilities for the Industrial Internet. The Industrial Internet is an open, global network that connects people, data and machines. It’s about making infrastructure more intelligent and advancing the industries critical to the world we live in. At GE, we believe it’s about the future of industry—energy, healthcare, transportation, manufacturing. It’s about making the world work better. GE is transforming itself to become the world's premier digital industrial company, executing critical outcomes for our customers. Explore how you can drive greater asset reliability, lower operating costs, reduce risk and accelerate operational performance with our Predix platform and software solutions. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** The Staff Analytics Engineer will be responsible for delivering new, commercially re-usable analytics solutions (Analytic Blueprint Packages) to drive growth in asset, application and industry coverage supportable product support teams (Software As A Service model). You will leverage standard suite of platform and core module analytics & algorithms, software application capabilities, strong engineering & analytics backgrounds. **Essential Responsibilities:** You will engage key technical & subject matter experts (SMEs) across the business for knowledge capture into the solutions. You will also provide core product requirements to Product Management, Software Engineering and UX Design teams. You will mentor other engineers in analytics development process and methods. Essential Responsibilities: As a Staff Analytics Engineer, for GE Digital’s Asset Performance Management (APM) Product line, you must have a good understanding of basic industrial equipment – reliability and failure causes, the ability to quickly understand the key operational characteristics of new equipment, interview domain experts for failure mode knowledge, and assess how possible failure models will affect measured parameters and key performance indicators (KPIs). An Analytic Blueprint Package is a complete configuration template for a class or type of equipment; includes the Sematic Data Model, Equipment Tag Model, Component Groupings, Failure Indication Logic and relation parameter configuration applied to Physics Based, Mathematical or Statistics based, or Machine Learning (Non-Parametric Regression Techniques such as Similarity Based Modeling, Principal Component Analysis, Kernel Regression, Support Vector Machines etc.; Decisions Trees and other such) analytics techniques common used for Industrial Analytics) as well as the orchestration logic of one or more of these techniques. + Work on a team of Analytics Engineers and Data Scientists who analyze equipment operation and failure modes to detect the failures through the analysis of process environment, equipment operation and real-time sensor data + Apply a structured process to design and build new analytic blueprint packages. Review technical documents like Piping & Instrumentation Diagrams + Create of derivative analytics for variants of known equipment, incorporation of field feedback to improve the performance and actionability of the analytics, maintaining the analytic blueprint library and catalogue + Write analytics functional documentation for the Field Services teams, gather end-user and customer requirements and support product engineering in development of new generations of GE Digital’s software solutions + Develop a trusted advocate relationship with internal and external customer constituents. Serve as the communications hub and "source of truth" for applications of the analytics in the field. Ensure that all teams have correct and timely information they need in order to ensure successful delivery of analytics to customers + Provide supporting technical materials, education and in person expertise during commercial cycles, partner and cross-business collaboration. Evangelize the portfolio capabilities by presenting to customers (internal and external) and user groups where applicable + Drive repeatability in solution component architectures. Foster an environment that encourages innovation, creative risk taking, speed and agility designing and managing Analytic Blueprint packages **Qualifications/Requirements:** Basic Qualifications: + Master’s degree or higher in Engineering (Mechanical, Chemical, Industrial etc...), Applied Mathematics, Decision Sciences or similar STEM field) from an accredited university or college + A minimum of 5 years of post-undergraduate professional engineering experience in Power Generation, Aviation, Transportation, Oil & Gas, Manufacturing, Chemical or Mining & Metals industries OR Master’s degree with at least 3 years of such experience + Demonstrated ability on machine and process problem analysis and troubleshooting + Demonstrated ability to develop and apply data and analytics models based on physics or empirical machine learning on industrial equipment and processes + Demonstrated experience with design or application of Failure Modes and Effects Analyses (FMEA) techniques + Understanding of Reliability Centered Maintenance (RCM) principles or other such industry maintenance and operating practicesEligibility Requirements: + Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job + Must be willing to travel 15% + Must be willing to work out of an office located in Chicago, IL or Roanoke, VA area. **Desired Characteristics:** Technical Expertise: + Demonstrated ability to work within a small, collaborative project team + Attention to detail with a willingness to follow a rigorous quality process. + Strong oral and written communication skills. + Aptitude for the use of complex software applications, abstract concepts, use of data + Understanding of industrial equipment and process operations, especially in the areas of maintenance and process control + Multiple years of experience designing analytics utilizing non-parametric machine learning algorithms and heuristics + Strong organizational and project management skills + Strong analytical and problem resolution skills + Clear understanding of Systems Development Life Cycle (SDLC) methodology and respective experience with its application in design and development phases + Proven experience designing, deploying or operating applications / infrastructure in a public or private cloud environment + Knowledge and experience using analytics software packages like Matlab, SAS, JMPro etc. Programming experience with open source scripting and data analysis packages like Python, R is a plus.Business Acumen: + Strong customer mindset and ability to understand commercial and product strategy + Bridging between research and solution design + Demonstrates awareness of important current trends (economic, political, environmental, regulatory, etc.) affecting the industries that GE Digital operates in + Experience working effectively on multiple outcome-focused commercial solutions simultaneously + Ability to synthesize broad-based user requirements into a unified plan to meet key business objectivesLeadership: + Proactively engages with cross-functional teams to resolve issues and design solutions using critical thinking and analytics skills and best practices by actively incorporating input from various sources + Strong analytical and strong problem solving skills - effectively evaluates information/data to make decisions; anticipates obstacles and develops plans to resolve + Continuous improvement oriented – actively generates process improvements; champions and drives change initiativesPersonal Attributes: + Emotional Intelligence, ability to influence up and out and the ability to work independently + Highly organized and efficient; able to balance competing priorities and execute accordingly + Strong oral and written communication skills.\#DTR **Locations:** United States; Illinois, Virginia; Lisle, Chicago, RoanokeGE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          (USA-DE-Dover) Staff Analytics Engineer   
**About Us:** GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. At GE Digital, we are creating technology and solutions to enable social, mobile, analytical and cloud capabilities for the Industrial Internet. The Industrial Internet is an open, global network that connects people, data and machines. It’s about making infrastructure more intelligent and advancing the industries critical to the world we live in. At GE, we believe it’s about the future of industry—energy, healthcare, transportation, manufacturing. It’s about making the world work better. GE is transforming itself to become the world's premier digital industrial company, executing critical outcomes for our customers. Explore how you can drive greater asset reliability, lower operating costs, reduce risk and accelerate operational performance with our Predix platform and software solutions. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** The Staff Analytics Engineer will be responsible for delivering new, commercially re-usable analytics solutions (Analytic Blueprint Packages) to drive growth in asset, application and industry coverage supportable product support teams (Software As A Service model). You will leverage standard suite of platform and core module analytics & algorithms, software application capabilities, strong engineering & analytics backgrounds. **Essential Responsibilities:** You will engage key technical & subject matter experts (SMEs) across the business for knowledge capture into the solutions. You will also provide core product requirements to Product Management, Software Engineering and UX Design teams. You will mentor other engineers in analytics development process and methods. As a Staff Analytics Engineer, for GE Digital’s Asset Performance Management (APM) Product line, you must have a good understanding of basic industrial equipment – reliability and failure causes, the ability to quickly understand the key operational characteristics of new equipment, interview domain experts for failure mode knowledge, and assess how possible failure models will affect measured parameters and key performance indicators (KPIs). An Analytic Blueprint Package is a complete configuration template for a class or type of equipment; includes the Sematic Data Model, Equipment Tag Model, Component Groupings, Failure Indication Logic and relation parameter configuration applied to Physics Based, Mathematical or Statistics based, or Machine Learning (Non-Parametric Regression Techniques such as Similarity Based Modeling, Principal Component Analysis, Kernel Regression, Support Vector Machines etc.; Decisions Trees and other such) analytics techniques common used for Industrial Analytics) as well as the orchestration logic of one or more of these techniques. + Work on a team of Analytics Engineers and Data Scientists who analyze equipment operation and failure modes to detect the failures through the analysis of process environment, equipment operation and real-time sensor data + Apply a structured process to design and build new analytic blueprint packages. Review technical documents like Piping & Instrumentation Diagrams + Create of derivative analytics for variants of known equipment, incorporation of field feedback to improve the performance and actionability of the analytics, maintaining the analytic blueprint library and catalogue + Write analytics functional documentation for the Field Services teams, gather end-user and customer requirements and support product engineering in development of new generations of GE Digital’s software solutions + Develop a trusted advocate relationship with internal and external customer constituents. Serve as the communications hub and "source of truth" for applications of the analytics in the field. Ensure that all teams have correct and timely information they need in order to ensure successful delivery of analytics to customers + Provide supporting technical materials, education and in person expertise during commercial cycles, partner and cross-business collaboration. Evangelize the portfolio capabilities by presenting to customers (internal and external) and user groups where applicable + Drive repeatability in solution component architectures. Foster an environment that encourages innovation, creative risk taking, speed and agility designing and managing Analytic Blueprint packages **Qualifications/Requirements:** Basic Qualifications: + Master’s degree or higher in Engineering (Mechanical, Chemical, Industrial etc...), Applied Mathematics, Decision Sciences or similar STEM field) from an accredited university or college + A minimum of 5 years of post-undergraduate professional engineering experience in Power Generation, Aviation, Transportation, Oil & Gas, Manufacturing, Chemical or Mining & Metals industries OR Master’s degree with at least 3 years of such experience + Demonstrated ability on machine and process problem analysis and troubleshooting + Demonstrated ability to develop and apply data and analytics models based on physics or empirical machine learning on industrial equipment and processes + Demonstrated experience with design or application of Failure Modes and Effects Analyses (FMEA) techniques + Understanding of Reliability Centered Maintenance (RCM) principles or other such industry maintenance and operating practicesEligibility Requirements: + Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job + Must be willing to travel 15% + Must be willing to work out of an office located in Chicago, IL or Roanoke, VA area. **Desired Characteristics:** Technical Expertise: + Demonstrated ability to work within a small, collaborative project team + Attention to detail with a willingness to follow a rigorous quality process. + Strong oral and written communication skills. + Aptitude for the use of complex software applications, abstract concepts, use of data + Understanding of industrial equipment and process operations, especially in the areas of maintenance and process control + Multiple years of experience designing analytics utilizing non-parametric machine learning algorithms and heuristics + Strong organizational and project management skills + Strong analytical and problem resolution skills + Clear understanding of Systems Development Life Cycle (SDLC) methodology and respective experience with its application in design and development phases + Proven experience designing, deploying or operating applications / infrastructure in a public or private cloud environment + Knowledge and experience using analytics software packages like Matlab, SAS, JMPro etc. Programming experience with open source scripting and data analysis packages like Python, R is a plus.Business Acumen: + Strong customer mindset and ability to understand commercial and product strategy + Bridging between research and solution design + Demonstrates awareness of important current trends (economic, political, environmental, regulatory, etc.) affecting the industries that GE Digital operates in + Experience working effectively on multiple outcome-focused commercial solutions simultaneously + Ability to synthesize broad-based user requirements into a unified plan to meet key business objectivesLeadership: + Proactively engages with cross-functional teams to resolve issues and design solutions using critical thinking and analytics skills and best practices by actively incorporating input from various sources + Strong analytical and strong problem solving skills - effectively evaluates information/data to make decisions; anticipates obstacles and develops plans to resolve + Continuous improvement oriented – actively generates process improvements; champions and drives change initiativesPersonal Attributes: + Emotional Intelligence, ability to influence up and out and the ability to work independently + Highly organized and efficient; able to balance competing priorities and execute accordingly + Strong oral and written communication skills. \#DTR **Locations:** United States; Illinois, Virginia; Lisle, Chicago, RoanokeGE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          (USA-DE-Dover) Principal Digital Product Manager   
**About Us:** GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** We are looking for a Product Manager to work with key Artificial Intelligence(AI), Deep Learning(DL) Clinical Partnership accounts to drive the partnership outcome, all aspects of governance and engagement execution. This individual will work with customer clinical data scientists and interface with internal GE software and data science teams to deliver high quality software in a fast paced, challenging, and creative environment. **Essential Responsibilities:** + Build product plan as to support SOW(s) and be responsible for customer and internal development to deliver against product plan + Drive day to day technical activities at customer site partnering with customer technical resources + Publish GE standards to customer ensuring work done at customer site meets requirements of integration into GE software for deployment and scale + Owns the technical and user product specification for the feature(s) area, including defining the stories and acceptance criteria for the epics of the feature area(s) + Work closely with software engineering and customer engagement teams to resolve technical and logistic issues + Work with customer engagement, product management and technical leads to translate solution concepts into specific technical deliverables and integrations + Define tasks priorities and drive release and sprint planning based on priorities + Develop and manage product backlog to ensure deliverable to meet schedules and milestones + Lead and drive process change and improvement + Foresee risks and create risk management solutions as appropriate + Correctly represent the urgency of issues and communicate and escalate issues appropriately + Proactively capture, track and drive all issues to closure + Regularly communicate the project status stakeholders and customers **Qualifications/Requirements:** Basic Qualifications: + BS in Computer Science, Electrical Engineering, Computer Engineering or equivalent. MS is desirable. + Minimum of 10 years’ experience in Project/Program/Development of software productsEligibility Requirements: + Strong technical background and experience in driving releasing software cross-functional teams + Experience in developing and releasing software using Agile methodology + Prior experience in Healthcare in technical product management and or engineering roles. + Legal authorization to work in the U.S. is required. + Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen **Desired Characteristics:** + MBA or Master’s degree in Product Management, Marketing, Business Administration or related field + Degree in Medical Informatics + Degree and practice in a clinical discipline + 8+ years’ experience in product management, product development or related field + Deep Product Management/Marketing expertise, including: market trends/analysis, NPI process, product roadmap development, requirements, product life-cycle management, + Healthcare product/industry/technical acumen + Leadership skills to lead teams and shape/lead growth vision and marketing strategy + Innovation – develop new ideas through collaboration and execute on creative ideas + Team oriented – ability to motivate and work well with diverse, cross-functional teams + Proven ability to work globally + Proven ability to influence and negotiate internally and with customers\#DTR **Locations:** United States; Massachusetts, New York; BostonGE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          (USA-DE-Dover) Staff Software Engineer   
**About Us:** GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** You will be responsible for programming a feature and or a small feature set. You will contribute to the team and works with direction from the Senior Team Members or management but works independently. **Essential Responsibilities:** **In this role you will:** + Engineer Predix service automation, which includes, but is not limited to the following components: Automated Continuous Delivery, Operations Infrastructure, and Specific services such as Logging, Monitoring, and Messaging delivered in an “as-a-service” model + Identify and define non-functional requirements including, but not limited to: backward compatibility, performance, reliability, scalability, privacy, and security + Collaborate with cross functional stakeholders + Provide timely and accurate estimates for deliverables + Participate in strategic and tactical planning sessions • Identify opportunities for automation and develop scalable solutions + Capture system level requirements by brainstorming with Sr. Architects, Data Scientists, Businesses & Product Managers + Identify the scope of the work, provide initial estimate and justify the estimate with facts + Demonstrate the understanding of Agile software development lifecycle and able to distinguish the core inputs and outputs in each cycle. + Engage in technical discussions; participate in technical designs and present technical ideas through white boarding + Work closely with your peers and keep engaging in a fast pace technical design and development team + Execute in a fast pace delivery mode and focus in delivering tasks to meet the product release goal + Maintain code quality through best practices, unit testing and code quality automation + Seek and provide feedback on design and development + Demonstrate the ability to make informed technology choices after due diligence and impact assessment + Understand whole product, its modules and the interrelationship between them while being an expert in the assigned component or module + Help in designing interfaces and information exchange between modules + Possess advanced domain knowledge and show great customer focus. Expert in processes / methodologies and Skilled in build, release & deployment processes + Articulate the need for scalability and understand the importance of improving quality through testing. + Be an expert in writing code that meets standards and delivers the desired functionality using the technology selected for the project + Drive design reviews, define interfaces between code modules, and applies existing technology to designs + Be an expert in assessing application performance and optimizing/improving it through design and best coding practices + Be an expert in core data structures as well as algorithms and that the ability to implement these structures **Qualifications/Requirements:** **Basic Qualifications:** + Bachelor's Degree in “STEM” Majors (Science, Technology, Engineering and Math) OR the completion of a code development pair-programming, boot camp-style, or accelerated training curriculum focused on contemporary software development OR High School Diploma / GED with a 4 years of IT experience + A minimum of 8 years of professional experience in IT OR Master’s degree with 6 years of experience in IT OR PhD with 3 years of experience in ITM **Eligibility Requirements:** + Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job + Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen + Must be willing to travel + This position is open to remote work **Desired Characteristics:** **Desired Characteristics:** **Technical Expertise:** + Experience engineering cloud/online services at massive scale, including large scale SQL/NoSQL services + DevOps practitioner with hands on experience delivering continuous integration and continuous delivery pipelines + Excellent scripting skills that can be applied in live service environments (Ruby, Python, Bash, Powershell) + Experience using cloud resource provisioning tools and systems + Experience working in Agile development environment + Automation and orchestration technologies such as Chef, Bosh, Cloud Foundry, Piston, etc. **Business Acumen:** + Strong problem solving abilities and capable of articulating specific technical topics or assignments + Experience in building scalable and highly available distributed systems + Expert in breaking down problems and estimate time for development tasks + Evangelizes how our technology solves customer problems from a technology and business perspective **Leadership:** + Demonstrates clarity of thinking to work through limited information and vague problem definitions + Influences through others; builds direct and "behind the scenes" support for ideas + Proactively identifies and removes project obstacles or barriers on behalf of the team + Shares knowledge, power, and credit, establishing trust, credibility, and goodwill **Personal Attributes:** + Comfortable and effective working in new areas that require experimentation and rapid problem solving + Flexible, continuous learner, willing to share knowledge + Ability to lead a team of engineers to deliver a cohesive solution\#DTR **Locations:** United States; Alabama, Alaska, American Samoa, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Florida, Georgia, Guam, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Northern Mariana Islands, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, United States Minor Outlying Islands, Utah, Vermont, Virgin Islands, U.S., Virginia, Washington, West Virginia, Wisconsin, WyomingGE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          (USA-DE-Dover) Director of Data Sciences   
**About Us:** GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. **Role Summary:** The Director of Data Sciences will be the key thought leader in driving all levels of strategy, vision and execution to deliver on the mission of a world-class Data Science team within Renewables Energy Digital. **Essential Responsibilities:** The Director of Data Sciences leads a team of Senior Data Scientists in addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. You will influence and provide expertise to the Renewable Energy Business Units across the organization by establishing the company-wide strategic roadmap and engagement model for data science utilizing business and industry knowledge. Director of Data Sciences will be the spokesperson and advocate on relevant data science issues and business potential to both internal and external audiences and stakeholders. You will collaborate with a world-class team across the company to develop and lead the strategy while working in a fast-paced, challenging, and data driven environment. Essential Responsibilities: In this role, you will: + Act as a key thought leader in defining big data roadmap, business intelligence and data strategy; leveraging data assets in support of strategy. + Drive ownership, management and delivery of Data Science Digital solutions to business clients and establish a robust vision for the Renewable Energy Digital team. + Spearhead the relationship development and technology evaluation for new prospective partnerships. + Drive evangelization and education of Data Science services by communicating the vision and value of advanced analytics. + Analyze and solve complex business problems by leveraging industry knowledge and expertise and being a proactive thinker offering recommendations in data science to drive change and deliver results. + Proactively champion the value of data as a strategic business asset and revenue generator by selling ideas and being able to transform those ideas into action. + Promote the use of new technology and industry leading trends as a creative thinker. + Establish a level of trust and credibility by building and maintaining relationships with customers and key stakeholders. + Advocate decision-making and get “buy in” while building partnerships with clients and across the organization by fostering collaboration. + Create and Implement data strategies, standards, procedures and accountability policies. + “Think outside of the box” and come up with ideas that will benefit the company + Skillfully guide and influence through change management and communicate directions clearly. + Lead a team of Senior Data Scientists. **Qualifications/Requirements:** Basic Qualifications: + Bachelor's Degree in Computer Science, Mathematics, Applied Statistics OR in "STEM" Majors (Science, Technology, Engineering and Math) + Minimum of 10 years of experience working with Data Management, Business Intelligence, or Data Analytics + 5+ years of experience evangelizing the value of data analytics with the ability to effectively communicate the value to various audiencesEligibility Requirements: + Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job + Must be willing to travel + Must be willing to work out of an office located in Chicago, IL or Schenectady, NY **Desired Characteristics:** + Master’s degree or PhD in a “STEM” major preferred. + Passionate communicator and proven thought leader in the business application of analytics with the ability to understand and explain complex problems in a simple and easy to understand manner. + Trusted advisor to leaders gained by listening, understanding and offering solutions to their core business needs in order to create insightful analytics. + A consultative approach; prior experience with a recognized consulting firm is preferred. + Excellent interpersonal skills and being able to work well with others. + Expertise in big data solutions such as Hadoop, MapReduce, and/or Hbase. + Strong results driven personality, with a high level of enthusiasm, energy and confidence; a true player/coach. + Exceptional analytical, communication, organizational and presentation skills. + Exceptional managerial skills; can hire, train and mentor a highly functioning data science team. + Customer–focused mindset and takes pride in creating an engaging and informative data driven customer journey. + Proven success in translating business strategies into executable plans. + Creative and passionate, driven by a desire for innovation and creation of amazing products. + Insight into the way that digital transformation is affecting industry and knowledge of best practices. + Ability to translate digital trends, technologies and strategies into engaging, tactical programs. + Can manage through ambiguity. + Ability to work on many projects with a sense of urgency without sacrificing quality. + Highly organized, with the ability to work under pressure and handle multiple projects while effectively meeting deadlines. + Communicates a compelling vision; inspires others. + High integrity and values focused.Technical Expertise: + (Include technical skills) + Understands technical and business discussions relative to future architecture direction aligning with business goals. + Understands concepts of setting and driving architecture direction. + Familiar with elements of gathering architecture requirements. + Understands architecture standards concepts to apply to project work.Business Acumen: + Understand key cross-functional concepts that impact the organization; is aware of business priorities and organizational dynamics.Leadership: + Coaches and mentors team members. + Familiar with concepts of costing hardware and software components. Works to assure work is on-time and within budget. + Delivers tasks on-time with alignment to architectural goals. Can identify and raise issues, risks and benefits. + Participates in change initiatives by implementing new directions and providing appropriate information and feedback.Personal Attributes: + Applies values, policies, procedures and precedent to make timely, routine decisions of limited, clear choice. + Reacts open-mindedly to new perspectives or ideas. Considers different or unusual solutions when appropriate. + Resolves day-to-day issues related to strategy implementation. Escalates issues that impact the client and/or strategic initiatives.\#DTR **Locations:** United States; Illinois, New York; Chicago, SchenectadyGE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.
          Vincent Granville posted a blog post   
Vincent Granville posted a blog post

Data Science and Machine Learning Without Mathematics

There is a set of techniques covering all aspects of machine learning (the statistical engine behind data science) that does not use any mathematics or statistical theory beyond high school level. So when you hear that some serious mathematical knowledge is required to become a data scientist, this should be taken with a grain of salt.The reason maths is a thought to be a requirement is because of the following reasons:Standard tools such as logistic regression, decision trees or confidence intervals, are math-heavyMost employers use standard toolsAs a result, hiring managers are looking for candidates with a strong math background, mostly for historical reasonsAcademic training for data scientists are math-heavy for historical reasons (using the professors that used to teach stat classes)Because of this, you need to really be math savvy to get a "standard" job, so sticking to standard math-heavy training and standard tools work for people interested in becoming a data scientist. To make things more complicated, most of the courses advertised as "math-free" or "learn data science in three days" are selling you snake oil (it won't help you get a job, and many times the training material is laughable.) You can learn data science very quickly, even on your own if you are a self-learner with a strong background working with data and programming (maybe you have a physics background) but that is another story.Yet there is a set of techniques, designed by a data scientist with a strong mathematical background and long list of publications in top statistical journals that does not use mathematics nor statistical modeling. These techniques work just as well and some of them have been proved to be equivalent to their math-heavy cousins, with the additional bonus of generally being more robust. They are easy to understand and lead to easy interpretations, yet it is not snake oil: it is actually based on years of experience processing large volumes of diverse data, mostly in automated mode.If you create your own startup, develop your own data science consultancy, or work for an organization that does not care about the tools that you use -- as long as they are cheap, easy to implement, and reliable -- you might consider using these simple, scalable, math-free methods. For instance, if you develop algorithms for stock trading, you wouldn't want to use the same tools as your competitors. These math-free techniques can give you a competitive advantage.Below, I describe several math-free techniques covering a good chunk of data science, and how they differ from their traditional math-heavy cousins. I use them pretty much every day, though most of the time, in some automated ways.Read more and discover these techniques here.See More

          Andrei Macsin added a discussion to the group Analytic, Data Science and Big Data Jobs   
Andrei Macsin added a discussion to the group Analytic, Data Science and Big Data Jobs
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Career Alert, June 23

Job SpotlightSoftware Developer - One Acre FundGenomic Systems Engineer - Kaiser PermanenteData Scientist - Consumer Insights - Fossil GroupSenior Director for Institutional Analytics - Rollins CollegeFeatured JobsKenya Product Innovations Analyst - One Acre FundSenior Data Scientist - Spreemo HealthEngineer, Data Science, Audience Studio - NBCUniversal MediaDeep Learning Content Creator - NVIDIAAnalytics and Insights Specialist - Ramsey Solutions, A Dave Ramsey CompanyDirector, Marketing Analytics & Strategy - The Ad CouncilData Science Manager, Analytics - FacebookResearch Scientist - SpotifyData Scientist – Analytics - Booking .comData Scientist, Risk Analytics - John DeereData Scientist - Reynolds Consumer ProductsProgram Manager, Data Analysis & Reporting - MasterCardDecision Science Analyst II - USAAData Scientist - TapjoyResearch Scientist, Sr - YahooHealthcare Data Scientist - PhilipsSenior Data Scientist - Warner Bros. EntertainmentData Scientist - ShareThisProduction Cytometry Lead, Verily Life Sciences - GoogleData Science Manager, Analytics - TumblrData scientist, Business Strategy - StarbucksCheck out the most recent jobs on AnalyticTalent.comFeatured BlogSix Great Articles About Quantum Computing and HPC This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, AI and many more. Read full article.Upcoming DSC Webinars and ResourcesA Language for Visual Analytics - DSC Webinar, July 25Self-Service Machine Learning - DSC Webinar, July 18Maximize value of your IoT Data - DSC Webinar, June 29SPSS Statistics to Predict Customer Behavior - DSC Webinar, June 27The Data Incubator Presents: Data Science FoundationsDatabricks & The Data Incubator: Apache Spark Programming for DSArtificial Intelligence Blockchain Bootcamp with Job placement NYCGuarantee yourself a data science career - SpringboardData Science Boot Camp: Pharma and Healthcare - RxDataSciencePython Data Science Training - AccelebrateOnline Executive PGP in Data Science, Business Analytics & Big DataSee More

          Sentiment Analysis for NLP and Data Science Practitioners   
Sentiment Analysis for NLP and Data Science Practitioners

Sentiment Analysis for NLP and Data Science Practitioners
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 21M | 54 MB
Genre: eLearning | Language: English


          (USA-CA-San Jose) Structured Data Architect   
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join eBay – a company you can be proud to be a part of. **Do you want to be part of the team that architects the industry’s most powerful and innovative e-commerce technology stack? eBay’s Structured Data (SD) team is embarking on an exciting journey to define and expose the common language of e-commerce. We are achieving this through large scale knowledge acquisition from internal and external sources, creating the ontology of exchangeable things that we expose as a wide variety of interfaces including the product catalogue, product metadata, listing-product matching, pricing, selling intelligence (trending etc), and numerous other APIs. Machine intelligence is also part of our remit and we are responsible for all language translations through our NLP group, as well as computer vision.** **The SD R&D team is comprised of highly motivated, creative engineers tasked with leading this charge by shaping eBay’s technology and cultural roadmap. Our engineers, researchers and data scientists are not limited by their job title - they are free to roam our entire technology space to deliver what eBay’s customers want.** **SD uses a wide variety of tools from across the stack including state of the art machine learning technologies including our own proprietary high performance vector space processing technology. We have services written in a number of frameworks including Docker and Kubernetes, OpenStack and public cloud, as well as highly optimized bare metal installations. We also make extensive use of Hadoop and TeraData. We also use a number of programming languages including C++, Go, Scala, Java, Python, Ruby and R, and our creativity is not limited by language choice - we are free to choose the best solution to the problem.** **SD services are exposed through APIs - generally RESTful JSON - and are built on top of the internal SD platform. This platform comprises a number of engines which are developed in one of two styles: augmented open source or built in-house, and we are continually thoughtful about how we interact with and participate in the open source community. And we do all of this at massive scale with industry leading reliability.** **We are looking for talented, highly motivated, hands-on industry leaders that are engineers at heart who lead by example and embody technical leadership and engineering excellence. These high performing individuals will help take eBay to the next level through unparalleled technical innovation and will be seen as company wide change agents driving our technical direction for the next decade and beyond. These world class industry leaders will help define the technical and strategic vision and direction of the company, help drive the company’s technical core forward to deliver on that vision, work across eBay divisions to achieve new growth and business impact, and engage and influence both eBay and external industry leaders to drive excitement around being part of the eBay and its ecosystem.** **These leaders will be the greatest attractors of the industry’s finest technical talent and inspire a new generation of engineering and scientific accomplishments.** **Responsibilities:** + **_Conceive, design and implement innovative systems and solutions to address complex business and technology problems. The solutions must be secure, resilient and performant. Build on eBay’s open-source presence by contributing solutions that solve well-known problems to the open-source community._** + **_Define eBay’s portfolio of capabilities through a coherent and consumable API implemented through microservices. Enable consistency of these services through definition and implementation of standards and best practices to address cross-cutting concerns._** + **_Contribute to eBay’s catalog of reusable patterns. Collaborate on pattern definition with stakeholders and peers to ensure that the pattern meets all necessary requirements. Create polyglot reference implementations of the pattern with clear and concise documentation to support adoption._** + **_Research, assess, recommend or develop technologies applied in the context of eBay’s Marketplace product requirements. Build prototypes and convince businesses of the benefits of the new technologies. Contribute to eBay’s patent portfolio._** + **_Deep subject matter expertise of concepts, products and technologies in one or more e-commerce domains_** **_with the_** **_ability to apply the expertise to set technical direction and drive improvements to our products._** + **_Provide Internal and External training and education which includes participation in external forums (developer conferences, tech conferences) as speakers._** + **_Provide hands on technical and thought leadership across development, product management, operations and engineering management through effective communication. Actively develop mentoring relationships across teams to help engineers further their careers._** **Requirements:** + **_Have strong technical and product vision and the ability to communicate this vision to multiple audiences._** + **_Proven expertise in building platforms that support virtualization, scale, security, availability, performance and automation. Experience with Docker and Kubernetes a plus._** + **_Hands-on experience in building a microservices based architecture and platform developed and deployed at scale._** + **_Strong track record of engineering excellence including continuous delivery of high quality, massively scaled, innovative software. Expertise in Test-Driven Development and establishing a DevOps practice are a plus._** + **_Experience defining and modeling a consumable commerce API. Expertise building innovative iOS, Android and web applications using the API and polyglot platforms is a plus._** + **_Domain expertise in one or more e-commerce or cloud infrastructure services. Expertise in either marketing or e-commerce billing is a plus._** + **_Demonstrated background in modeling software systems and excellent programming skills_** + **_Strong skills for verbal & written communication targeting technical and non-technical audiences._** + **_Flexible, adaptable, and able to autonomously manage multiple tasks in a dynamic, fast-paced, iterative development environment with short turnaround times._** + **_Self-motivated, passionate for technology, and strong driver for results and continual improvement._** + **_Team player - work well independently and in multi-group cross-discipline environment._** + **_BS/MS in Computer Science or equivalent, with 15 or more years in software engineering, design and architecture._** This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies at http://www.ebayprivacycenter.com/privacy/cookies View our privacy policy at https://careers.ebayinc.com/join-our-team/privacy-policy/ View our accessibility info at https://www.ebayinc.com/accessibility/ R0017887 eBay Inc. is an equal opportunity employer, dedicated to workforce diversity. All qualified applicants will receive consideration for employment without regard to their protected veteran status and will not be discriminated against on the basis of disability or long term unemployment circumstances. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talent@ebay.com. We will make every effort to respond to your request for disability assistance as soon as possible.
          (USA-CA-Los Angeles) Product Manager - Electric Vehicles   
Product Manager - Electric Vehicles Product Manager - Electric Vehicles - Skills Required - Product Manager (Previous/Current Title), Worked with Products relating to Power/Charge/EV, Products relating to Power/Charge/Energy, Electric Vehicles, CRM, SEO, Digital/Graphic Design, UI/UX, Mobile Located in beautiful Los Angeles, CA, we're leading the electric vehicle revolution. We have some of the worlds largest network of charging stations whether at home,work, or out we've got you covered. **Top Reasons to Work with Us** - HUGE Room for Growth - Great Work/Life Balance/Autonomy - Competitive Pay **What You Will Be Doing** - Lead the ideation, technical approach and launch of fulfillment automation products for automobiles, accessories, energy systems and solar installations - Build consensus from multiple lines of business - Drive product development with engineers and designers - Integrate analytics, data science and research into your methodology - Maximize productivity in a constantly changing environment of shifting priorities **What You Need for this Position** - 1+ years of experience Product Management (work experience/title held) - Prior background in Electronic Vehicles, Power, Charge, Renewable Energy Sector - Working cross functionally - SW experience (CRM/SEO/UI/UX/Design/Mobile) - Bonus points for Electrical/Electronics - Bachelor's degree **What's In It for You** For your hard work, you will be rewarded with a strong compensation package that includes a competitive base salary (D.O.E), excellent medical, dental and health benefits and other cool perks. Interviews are ongoing so, please FULLY COMPLETE THE APPLICATION QUESTIONS INCLUDING THE SELF ASSESSMENT ASAP! Complete applications will receive priority! Applicants must be authorized to work in the U.S. **CyberCoders, Inc is proud to be an Equal Opportunity Employer** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. **Your Right to Work** – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. *Product Manager - Electric Vehicles* *CA-Los Angeles* *AS3-EVProduct*
          How R Powers Data Science at Microsoft   
In this video "How R Powers Data Science at Microsoft" from the EARL 2017 conference in San Francisco (June 5-7, 2017), insideBIGDATA's Managing Editor and resident data scientist Daniel D. Gutierrez chats with Vijay K. Narayanan - Director, Algorithms and Data Science Solutions, Microsoft.
          (USA-VA-Herndon) Manager, GLM Technology   
**Manager, GLM Technology** **Requisition ID: 17013974** **Location\(s\): United States\-Virginia\-Herndon** **US Citizenship Required for this Position: Yes** **Relocation Assistance: No relocation assistance available** **Travel: Yes, 25 % of the Time** Are you interested in the opportunity to work for an industry\-leading company whose work with cutting\-edge technology is driven by something human: the lives our technology protects?If so, Northrop Grumman may be the place for you\.It’s not the systems that drive us: it’s the soldier our systems bring home\. It’s not just the equipment that motivates us: it’s the people our equipment protects\. It’s not the innovation that gets us up in the morning: it’s whom those innovations serve\. We’re united by our work to help people and protect the world\. And that mission makes our team even stronger\. When you join Northrop Grumman, you’ll have the opportunity to connect with coworkers in an environment that’s uniquely caring, diverse, and respectful\. Employees share experiences, insights, perspectives, and creative solutions with some of the best minds in the industry\. We collaborate through integrated product teams, cross\-functional teams, and employee resource groups, while thriving through the support of training and development, mentors and every day coaching, along with extensive health and work/life benefits\. We’re committed to our employees’ professional and personal development and success\. Northrop Grumman recruits top talent with traditional and non\-traditional backgrounds in order to ensure our team is united, connected, skilled, focused and innovative\. An inclusive workplace of people with diverse backgrounds, experiences, and perspectives is the key to our performance\. At Northrop Grumman, we want our employees to bring their whole self to work\.All your different sides are welcome here, as we believe they make our team, our products and our services, that much better\. Job Description Northrop Grumman Technology Services is seeking a Manager of Technology to lead development of technology\-differentiated offerings and performs technical planning, system integration, verification and validation, cost and risk, and supportability and effectiveness analyses for total systems\. Responsibilities include: + Analyses are performed at all levels of total system product to include: concept, design, fabrication, test, installation, operation, maintenance and disposal\. + Ensures the logical and systematic conversion of customer or product requirements into total systems solutions that acknowledge technical, schedule, and cost constraints\. + Performs functional analysis, timeline analysis, detail trade studies, requirements allocation and interface definition studies to translate customer requirements into hardware and software specifications\. + Monitors and evaluates technology trends in disciplines relevant to sustainment and modernization of aviation, space and missile platforms and payloads\. Basic Qualifications: + BS Degree in engineering or related technical discipline with 20 years of related experience\. + Systems engineering, research & development and business development experience\. + Experience devising, bidding and/or implementing services and/or product solutions\. + Experience with generating DoD Architecture Framework \(DoDAF\) views\. + Ability to obtain and maintain a Top Secret clearance with counter intelligence polygraph\. + Must be able to travel CONUS and OCONUS\. Preferred Qualifications: + MBA with BS in Engineering or related technical discipline 18 years of experience\. + PhD Degree in engineering or related technical discipline 15 years of experience\. + Experience within a $100M Aerospace & Defense \(A&D\) profit & loss \(P&L\) business\. + Experience with system\-of\-systems modeling & simulation\. + Experience with delivering performance based logistics \(PBL\) services\. + Experience with operations research, data science and/or systems analysis\. + Experience developing ISR sensors, processing electronics and RF technologies\. + Experience developing applied flight technologies\. + Experience developing airframe technologies\. + Experience developing air vehicle survivability technologies\. + Experience developing data analytics, cognitive and autonomy technologies\. + Experience developing cyber resilience and embedded software support technologies\. + Experience leading mature and advanced technology IR&D and CR&D projects \(TRL 3\-6\)\. Northrop Grumman is committed to hiring and retaining a diverse workforce\. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class\. For our complete EEO/AA and Pay Transparency statement, please visit www\.northropgrumman\.com/EEO \. U\.S\. Citizenship is required for most positions\. **Title:** _Manager, GLM Technology_ **Location:** _Virginia\-Herndon_ **Requisition ID:** _17013974_
          (USA-VA-Herndon) Mission Engineer 2, GLM Mature Technology Group   
**Mission Engineer 2, GLM Mature Technology Group** **Requisition ID: 17013984** **Location\(s\): United States\-Virginia\-Herndon** **US Citizenship Required for this Position: Yes** **Relocation Assistance: No relocation assistance available** **Travel: Yes, 25 % of the Time** Are you interested in the opportunity to work for an industry\-leading company whose work with cutting\-edge technology is driven by something human: the lives our technology protects? If so, Northrop Grumman may be the place for you\. It’s not the systems that drive us: it’s the soldier our systems bring home\. It’s not just the equipment that motivates us: it’s the people our equipment protects\. It’s not the innovation that gets us up in the morning: it’s whom those innovations serve\. We’re united by our work to help people and protect the world\. And that mission makes our team even stronger\. When you join Northrop Grumman, you’ll have the opportunity to connect with coworkers in an environment that’s uniquely caring, diverse, and respectful\. Employees share experiences, insights, perspectives, and creative solutions with some of the best minds in the industry\. We collaborate through integrated product teams, cross\-functional teams, and employee resource groups, while thriving through the support of training and development, mentors and every day coaching, along with extensive health and work/life benefits\. We’re committed to our employees’ professional and personal development and success\. Northrop Grumman recruits top talent with traditional and non\-traditional backgrounds in order to ensure our team is united, connected, skilled, focused and innovative\. An inclusive workplace of people with diverse backgrounds, experiences, and perspectives is the key to our performance\. At Northrop Grumman, we want our employees to bring their whole self to work\. All your different sides are welcome here, as we believe they make our team, our products and our services, that much better\. Job Description Northrop Grumman Technology Services is seeking a Mission Engineer to join an advanced technology evaluation group and develop new and/or integrate existing system simulation frameworks, performance models and algorithms, threat models and command and control models\. Simulates real\-time operations and develops software that simulates behavior of systems\. Develops integrates and uses advanced graphical user interfaces and visualization tools\. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures\. Performs operational analysis and mission effectiveness analysis\. Monitors and evaluates technology trends in disciplines relevant to sustainment and modernization of aviation, space and missile platforms and payloads\. Basic Qualifications: + BS Degree in Engineering or related technical discipline and 2 years of relevant experience\. + Ability to obtain and maintain a Secret clearance\. + Must be able to travel CONUS\. Preferred Qualifications: + MS Degree in engineering or related technical discipline 0 years of experience\. + PhD Degree in engineering or related technical discipline 0 years of experience\. + Ability to obtain and maintain a Top Secret clearance with counter intelligence polygraph\. + Systems engineering and/or research & development and/or business development experience\. + Experience devising, bidding and/or implementing services and/or product solutions\. + Experience with system\-of\-systems modeling & simulation\. + Experience with delivering performance based logistics \(PBL\) services\. + Experience with operations research, data science and/or systems analysis\. + Experience developing ISR sensors, processing electronics and RF technologies\. + Experience developing applied flight technologies\. + Experience developing airframe technologies\. + Experience developing air vehicle survivability technologies\. + Experience developing data analytics, cognitive and autonomy technologies\. + Experience developing cyber resilience and embedded software support technologies\. + Experience with mature technology IR&D and CR&D projects \(TRL 3\-6\)\. + Experience with modeling DoD Architecture Framework \(DoDAF\) views\. Northrop Grumman is committed to hiring and retaining a diverse workforce\. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class\. For our complete EEO/AA and Pay Transparency statement, please visit www\.northropgrumman\.com/EEO \. U\.S\. Citizenship is required for most positions\. **Title:** _Mission Engineer 2, GLM Mature Technology Group_ **Location:** _Virginia\-Herndon_ **Requisition ID:** _17013984_
          (USA-VA-Herndon) Mission Engineer 5, GLM Advanced Technology Group   
**Mission Engineer 5, GLM Advanced Technology Group** **Requisition ID: 17013981** **Location\(s\): United States\-Virginia\-Herndon** **US Citizenship Required for this Position: Yes** **Relocation Assistance: No relocation assistance available** **Travel: Yes, 25 % of the Time** Are you interested in the opportunity to work for an industry\-leading company whose work with cutting\-edge technology is driven by something human: the lives our technology protects? If so, Northrop Grumman may be the place for you\. It’s not the systems that drive us: it’s the soldier our systems bring home\. It’s not just the equipment that motivates us: it’s the people our equipment protects\. It’s not the innovation that gets us up in the morning: it’s whom those innovations serve\. We’re united by our work to help people and protect the world\. And that mission makes our team even stronger\. When you join Northrop Grumman, you’ll have the opportunity to connect with coworkers in an environment that’s uniquely caring, diverse, and respectful\. Employees share experiences, insights, perspectives, and creative solutions with some of the best minds in the industry\. We collaborate through integrated product teams, cross\-functional teams, and employee resource groups, while thriving through the support of training and development, mentors and every day coaching, along with extensive health and work/life benefits\. We’re committed to our employees’ professional and personal development and success\. Northrop Grumman recruits top talent with traditional and non\-traditional backgrounds in order to ensure our team is united, connected, skilled, focused and innovative\. An inclusive workplace of people with diverse backgrounds, experiences, and perspectives is the key to our performance\. At Northrop Grumman, we want our employees to bring their whole self to work\. All your different sides are welcome here, as we believe they make our team, our products and our services, that much better\. Job Description Northrop Grumman Technology Services is seeking a Mission Engineer to join an advanced technology evaluation group and perform technical planning, system integration, verification and validation, cost and risk, and supportability and effectiveness analyses for total systems\. Analyses are performed at all levels of total system product to include: concept, design, fabrication, test, installation, operation, maintenance and disposal\. Ensures the logical and systematic conversion of customer or product requirements into total systems solutions that acknowledge technical, schedule, and cost constraints\. Performs functional analysis, timeline analysis, detail trade studies, requirements allocation and interface definition studies to translate customer requirements into hardware and software specifications\. Monitors and evaluates technology trends in disciplines relevant to sustainment and modernization of aviation, space and missile platforms and payloads\. Basic Qualifications: + BS Degree in Engineering or related technical discipline and 14 years of relevant experience\. + Systems engineering, research & development and business development experience\. + Experience devising, bidding and/or implementing services and/or product solutions\. + Experience with system\-of\-systems modeling & simulation\. + Ability to obtain and maintain a Top Secret clearance with counter intelligence polygraph\. + Must be able to travel CONUS and OCONUS\. Preferred Qualifications: + MS Degree in engineering or related technical discipline 12 years of experience\. + PhD Degree in engineering or related technical discipline 9 years of experience\. + Experience within a $100M Aerospace & Defense \(A&D\) profit & loss \(P&L\) business\. + Experience with delivering performance based logistics \(PBL\) services\. + Experience with operations research, data science and/or systems analysis\. + Experience developing ISR sensors, processing electronics and RF technologies\. + Experience developing applied flight technologies\. + Experience developing airframe technologies\. + Experience developing air vehicle survivability technologies\. + Experience developing data analytics, cognitive and autonomy technologies\. + Experience developing cyber resilience and embedded software support technologies\. + Experience leading advanced technology IR&D and CR&D projects \(TRL 3\-6\)\. + Experience with generating DoD Architecture Framework \(DoDAF\) views\. Northrop Grumman is committed to hiring and retaining a diverse workforce\. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class\. For our complete EEO/AA and Pay Transparency statement, please visit www\.northropgrumman\.com/EEO \. U\.S\. Citizenship is required for most positions\. **Title:** _Mission Engineer 5, GLM Advanced Technology Group_ **Location:** _Virginia\-Herndon_ **Requisition ID:** _17013981_
          (USA-VA-Herndon) Mission Engineer 5, GLM Mature Technology Group   
**Mission Engineer 5, GLM Mature Technology Group** **Requisition ID: 17013976** **Location\(s\): United States\-Virginia\-Herndon** **US Citizenship Required for this Position: Yes** **Relocation Assistance: No relocation assistance available** **Travel: Yes, 25 % of the Time** Are you interested in the opportunity to work for an industry\-leading company whose work with cutting\-edge technology is driven by something human: the lives our technology protects? If so, Northrop Grumman may be the place for you\. It’s not the systems that drive us: it’s the soldier our systems bring home\. It’s not just the equipment that motivates us: it’s the people our equipment protects\. It’s not the innovation that gets us up in the morning: it’s whom those innovations serve\. We’re united by our work to help people and protect the world\. And that mission makes our team even stronger\. When you join Northrop Grumman, you’ll have the opportunity to connect with coworkers in an environment that’s uniquely caring, diverse, and respectful\. Employees share experiences, insights, perspectives, and creative solutions with some of the best minds in the industry\. We collaborate through integrated product teams, cross\-functional teams, and employee resource groups, while thriving through the support of training and development, mentors and every day coaching, along with extensive health and work/life benefits\. We’re committed to our employees’ professional and personal development and success\. Northrop Grumman recruits top talent with traditional and non\-traditional backgrounds in order to ensure our team is united, connected, skilled, focused and innovative\. An inclusive workplace of people with diverse backgrounds, experiences, and perspectives is the key to our performance\. At Northrop Grumman, we want our employees to bring their whole self to work\. All your different sides are welcome here, as we believe they make our team, our products and our services, that much better\. Job Description Northrop Grumman Technology Services is seeking a Mission Engineer to join a mature technology evaluation group and perform technical planning, system integration, verification and validation, cost and risk, and supportability and effectiveness analyses for total systems\. Analyses are performed at all levels of total system product to include: concept, design, fabrication, test, installation, operation, maintenance and disposal\. Ensures the logical and systematic conversion of customer or product requirements into total systems solutions that acknowledge technical, schedule, and cost constraints\. Performs functional analysis, timeline analysis, detail trade studies, requirements allocation and interface definition studies to translate customer requirements into hardware and software specifications\. Monitors and evaluates technology trends in disciplines relevant to sustainment and modernization of aviation, space and missile platforms and payloads\. Basic Qualifications: + BS Degree in Engineering or related technical discipline and 14 years of relevant experience\. + Systems engineering, research & development and business development experience\. + Experience devising, bidding and/or implementing services and/or product solutions\. + Experience with system\-of\-systems modeling & simulation\. + Ability to obtain and maintain a Top Secret clearance with counter intelligence polygraph\. + Must be able to travel CONUS and OCONUS\. Preferred Qualifications: + MS Degree in engineering or related technical discipline 12 years of experience\. + PhD Degree in engineering or related technical discipline 9 years of experience\. + Experience within a $100M Aerospace & Defense \(A&D\) profit & loss \(P&L\) business\. + Experience with delivering performance based logistics \(PBL\) services\. + Experience with operations research, data science and/or systems analysis\. + Experience developing ISR sensors, processing electronics and RF technologies\. + Experience developing applied flight technologies\. + Experience developing airframe technologies\. + Experience developing air vehicle survivability technologies\. + Experience developing data analytics, cognitive and autonomy technologies\. + Experience developing cyber resilience and embedded software support technologies\. + Experience leading advanced technology IR&D and CR&D projects \(TRL >6\)\. + Experience with generating DoD Architecture Framework \(DoDAF\) views\. Northrop Grumman is committed to hiring and retaining a diverse workforce\. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class\. For our complete EEO/AA and Pay Transparency statement, please visit www\.northropgrumman\.com/EEO \. U\.S\. Citizenship is required for most positions\. **Title:** _Mission Engineer 5, GLM Mature Technology Group_ **Location:** _Virginia\-Herndon_ **Requisition ID:** _17013976_
          (USA-VA-Herndon) Mission Engineer 3, GLM Mature Technology Group   
**Mission Engineer 3, GLM Mature Technology Group** **Requisition ID: 17013979** **Location\(s\): United States\-Virginia\-Herndon** **US Citizenship Required for this Position: Yes** **Relocation Assistance: No relocation assistance available** **Travel: Yes, 25 % of the Time** Are you interested in the opportunity to work for an industry\-leading company whose work with cutting\-edge technology is driven by something human: the lives our technology protects? If so, Northrop Grumman may be the place for you\. It’s not the systems that drive us: it’s the soldier our systems bring home\. It’s not just the equipment that motivates us: it’s the people our equipment protects\. It’s not the innovation that gets us up in the morning: it’s whom those innovations serve\. We’re united by our work to help people and protect the world\. And that mission makes our team even stronger\. When you join Northrop Grumman, you’ll have the opportunity to connect with coworkers in an environment that’s uniquely caring, diverse, and respectful\. Employees share experiences, insights, perspectives, and creative solutions with some of the best minds in the industry\. We collaborate through integrated product teams, cross\-functional teams, and employee resource groups, while thriving through the support of training and development, mentors and every day coaching, along with extensive health and work/life benefits\. We’re committed to our employees’ professional and personal development and success\. Northrop Grumman recruits top talent with traditional and non\-traditional backgrounds in order to ensure our team is united, connected, skilled, focused and innovative\. An inclusive workplace of people with diverse backgrounds, experiences, and perspectives is the key to our performance\. At Northrop Grumman, we want our employees to bring their whole self to work\. All your different sides are welcome here, as we believe they make our team, our products and our services, that much better\. Job Description Northrop Grumman Technology Services is seeking a Mission Engineer to join a mature technology evaluation group and develop new and/or integrate existing system simulation frameworks, performance models and algorithms, threat models and command and control models\. Simulates real\-time operations and develops software that simulates behavior of systems\. Develops integrates and uses advanced graphical user interfaces and visualization tools\. Models operational environments, performs trade studies via computer simulation and recommends alternative architectures\. Performs operational analysis and mission effectiveness analysis\. Monitors and evaluates technology trends in disciplines relevant to sustainment and modernization of aviation, space and missile platforms and payloads\. Basic Qualifications: + BS Degree in Engineering or related technical discipline and 5 years of related experience\. + Systems engineering and/or research & development and/or business development experience\. + Experience devising, bidding and/or implementing services and/or product solutions\. + Experience with system\-of\-systems modeling & simulation\. + Ability to obtain and maintain a Secret clearance\. + Must be able to travel CONUS\. Preferred Qualifications: + MS Degree in engineering or related technical discipline 3 years of experience\. + PhD Degree in engineering or related technical discipline 0 years of experience\. + Ability to obtain and maintain a Top Secret clearance with counter intelligence polygraph\. + Experience with delivering performance based logistics \(PBL\) services\. + Experience with operations research, data science and/or systems analysis\. + Experience developing ISR sensors, processing electronics and RF technologies\. + Experience developing applied flight technologies\. + Experience developing airframe technologies\. + Experience developing air vehicle survivability technologies\. + Experience developing data analytics, cognitive and autonomy technologies\. + Experience developing cyber resilience and embedded software support technologies\. + Experience with mature technology IR&D and CR&D projects \(TRL >6\)\. + Experience with modeling DoD Architecture Framework \(DoDAF\) views\. Northrop Grumman is committed to hiring and retaining a diverse workforce\. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class\. For our complete EEO/AA and Pay Transparency statement, please visit www\.northropgrumman\.com/EEO \. U\.S\. Citizenship is required for most positions\. **Title:** _Mission Engineer 3, GLM Mature Technology Group_ **Location:** _Virginia\-Herndon_ **Requisition ID:** _17013979_
          (USA-VA-Herndon) Manager, GLM Program Performance   
**Manager, GLM Program Performance** **Requisition ID: 17013708** **Location\(s\): United States\-Virginia\-Herndon** **US Citizenship Required for this Position: Yes** **Relocation Assistance: Relocation assistance may be available** **Travel: Yes, 25 % of the Time** Are you interested in the opportunity to work for an industry\-leading company whose work with cutting\-edge technology is driven by something human: the lives our technology protects? If so, Northrop Grumman may be the place for you\. It’s not the systems that drive us: it’s the soldier our systems bring home\. It’s not just the equipment that motivates us: it’s the people our equipment protects\. It’s not the innovation that gets us up in the morning: it’s whom those innovations serve\. We’re united by our work to help people and protect the world\. And that mission makes our team even stronger\. When you join Northrop Grumman, you’ll have the opportunity to connect with coworkers in an environment that’s uniquely caring, diverse, and respectful\. Employees share experiences, insights, perspectives, and creative solutions with some of the best minds in the industry\. We collaborate through integrated product teams, cross\-functional teams, and employee resource groups, while thriving through the support of training and development, mentors and every day coaching, along with extensive health and work/life benefits\. We’re committed to our employees’ professional and personal development and success\. Northrop Grumman recruits top talent with traditional and non\-traditional backgrounds in order to ensure our team is united, connected, skilled, focused and innovative\. An inclusive workplace of people with diverse backgrounds, experiences, and perspectives is the key to our performance\. At Northrop Grumman, we want our employees to bring their whole self to work\. All your different sides are welcome here, as we believe they make our team, our products and our services, that much better\. Job Description Northrop Grumman Technology Services is seeking a Manager of Programs to lead development and deployment of the GLM Program Execution Framework \(PEF\) to ensure problem free execution of GLM programs\. Responsibilities include: + Ensures GLM PMs have a framework to: direct all phases of programs from inception through completion; manage the cost, schedule and technical performance of company programs or subsystems of major programs; + Participate in the negotiation of contract and contract changes; coordinate the preparation of proposals, business plans, proposal work statements and specifications, operating budgets and financial terms/conditions of contract; + Act as primary customer contact for program activities, leading program review sessions with customer to discuss cost, schedule, and technical performance; + Establish design concepts, criteria and engineering efforts for product research, development, integration and test; + Develop new business or expands the product line with the customer; establish milestones and monitors adherence to master plans and schedules, identifies program problems and obtains solutions, such as allocation of resources or changing contractual specifications; + Direct the work of employees assigned to the program from technical, manufacturing and administrative areas\. Basic Qualifications: + BS Degree in Engineering or related technical discipline and at least 20 years of relevant experience\. + Experience within a $100M Aerospace & Defense \(A&D\) profit & loss \(P&L\) business\. + Experience devising, bidding and/or implementing services and/or product solutions\. + Must be able to travel CONUS\. + Able to perform work in an approved environment during specified work hours Preferred Qualifications: + MBA with BS in Engineering or related technical discipline 18 years of experience\. + PhD Degree in engineering or related technical discipline 15 years of experience\. + Systems engineering, program management and business development experience\. + Experience with delivering performance based logistics \(PBL\) services\. + Experience with operations research, data science and/or systems analysis\. Northrop Grumman is committed to hiring and retaining a diverse workforce\. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class\. For our complete EEO/AA and Pay Transparency statement, please visit www\.northropgrumman\.com/EEO \. U\.S\. Citizenship is required for most positions\. **Title:** _Manager, GLM Program Performance_ **Location:** _Virginia\-Herndon_ **Requisition ID:** _17013708_
          Lead Data Scientist   

          I’m a White, 26-year-old Stanford Grad, and I’m Lowering the Price of My Eggs to $80,000   

Hi! You’ve expressed an interest in buying eggs to conceive your own child. Oh — sorry — not buying — I meant “receiving eggs as a donation and compensating the donor with money.” Look no further; you’ll find no better eggs than mine. I’m 26, I’m white, and most importantly, I went to STANFORD. Like, the one in California. Furthermore, due to limited demand, I’m donating my eggs for the bargain basement price of $80,000.

You might be wondering why I’m donating my eggs. I’m a philanthropic spirit, and I’d like to help you complete your family! Also, I don’t have a job. I quit working recently to focus on my career as an artist. In my past, I’ve worked as a data scientist, which is pretty fancy, right? Data scientist and artist? I bet you didn’t know such a dynamic mix was possible. As it turns out, it’s probably not. Anyway, these eggs have smart genes, as is common for STANFORD grads.

Let me get you up to speed on me. I’m in pretty good physical condition. I’ve never had any surgeries or major health scares. Furthermore, I’ve only eaten four servings of vegetables in my entire life, and I’m still in decent shape, so I clearly come from strong stock. These eggs are healthy, so get ‘em while they’re on sale! I am required by law to disclose that I went to the ER in the past year. However, I had also taken a lot of Adderall that day, so I’m sure it’s not reflective of my genetics. Nonetheless, Adderall is something your child needs to be wary of if he/she goes to STANFORD because it’s a very intense academic environment. I know this because I went there. A healthy STANFORD grad? $80,000 for these eggs is an absolute steal.

You might be curious about my physical appearance. I think I’m pretty OK, although many may disagree. I get cat-called an average of twelve times/week, so your future child has that to look forward to. My metabolism is below average (as I explain to my doctor every year, and he still says Snapea Crisps aren’t vegetables), so make sure your Petri dish baby doesn’t eat ice cream for breakfast. But I don’t really think it matters that much what I look like. Because I went to STANFORD. You’d be lucky to get my average-looking eggs for a cheap $80,000.

A lot of potential egg recipients have wanted to know about my “personality” from my “friends.” If you must know, I’ve provided three personal references. Yes, it’s all the same person (my third grade gym teacher), but she has three different email addresses. Some egg recipients have raised the issue that I’ve never been in a stable romantic relationship with a man, to which I have only one response: you’d also be too intimidating for men to date if you’d gone to STANFORD. So just shell out a mere $80,000 and stop asking me what exactly I find so terribly challenging about eye contact.

I guess I could briefly touch upon some mental health issues that have been of concern to past prospective egg buyers. Apparently, there’s an evaluation on file from my psychiatrist, and that little shit says I struggle with “narcissistic personality disorder.” You know what, Dr. Dumbface — you’d be narcissistic too if you went to STANFORD. I’ve also been diagnosed as having an addictive personality, which I believe means that men are easily addicted to my personality, amiright?! I went to STANFORD.

All told, I think it’s pretty clear that $80,000 is a great price for my highly desirable eggs. Sure, I have a few minor issues, which is why I lowered the price from the original $2 million. However, you’re not going to find another STANFORD grad willing to sell their eggs. I know because I asked all of them. They all seem to prefer earning money through their “careers.” It would be an absolute honor to donate my eggs. An honor for you. Because I went to STANFORD.

Did I mention I got a 2360 on the SAT?

- - -

Disclaimer: I am legally required to report that Stanford University does not guarantee admission to the child born of my egg.


          Data Scientist - The Hut Group - England   
The role of the Warehouse team is to make the warehouse even more efficient, ask/answer questions using large data sets, spot areas for improvement, reduce... £55,000 a year
From The Hut Group - Fri, 09 Jun 2017 09:10:10 GMT - View all England jobs
          Data Science Team Lead - The Hut Group - England   
The role of the Warehouse team is to make the warehouse even more efficient, ask/answer questions using large data sets, spot areas for improvement, reduce...
From The Hut Group - Sat, 03 Jun 2017 09:04:08 GMT - View all England jobs
          Senior Data Science Analyst - SapientNitro - New York, NY   
Razorfish Consumer Insight group is responsible for data driven strategic thinking and insight across multiple client engagements....
From Sapient Government Services - Tue, 25 Apr 2017 21:13:14 GMT - View all New York, NY jobs
          DATA SCIENCE SOFTWARE DEVELOPER - IRELAND - Overstock.com - Ireland, WV   
Java build managers (maven); Strong Java skills (version 8 preferred). Design, develop, and maintain scalable and performant Java webservices....
From Overstock.com - Fri, 23 Jun 2017 19:34:32 GMT - View all Ireland, WV jobs
          AI Data Scientist - NLP/Deep Learning!   
CA-Sunnyvale, Artificial Intelligence touches many facets of our daily lives. It is changing the way our world communicates as well as changing the way we shop. Many retailers are already adding AI into their e-commerce processes, from virtual assistants chat bots to customized shopping experiences. The possibilities for combining AI and e-commerce are almost endless. As we advance AI to higher levels, there is
          Data Scientist - Cyber Security + Develop Algorithms + A.I.   
CA-San Jose, Based in the city of San Jose, CA, we are a cyber security company developing a platform that uses algorithms to detect malicious behavior! Since our establishment in 2011, our company has embedded machine learning and artificial intelligence to stop threats, attacks, and breaches! You will apply cutting edge machine learning, artificial intelligence, and modeling techniques to stop hackers in rea
          Chief Data Scientist - Predictive Science - United States   
Develop innovative approaches to linking internal systems with external data. Experience in creating and implementing machine learning algorithms and advanced...
From Predictive Science - Sat, 11 Mar 2017 08:06:17 GMT - View all United States jobs
          Senior Advisor Product Management - Threat Detection, Security - Dell - Reston, VA   
Supports the Business Line (IS Level) of strategic planning. It also requires some knowledge of Data science and machine learning technologies used for...
From Dell - Thu, 25 May 2017 05:26:48 GMT - View all Reston, VA jobs
          Senior Data Scientist, NLP - Demandbase - San Francisco, CA   
Work with customers and internal stakeholders to define hypotheses and models. Proven ability to solve problems using NLP and machine learning in an industry...
From DemandBase - Sat, 22 Apr 2017 02:02:09 GMT - View all San Francisco, CA jobs
          Machine Learning Software Engineer - Demandbase - San Francisco, CA   
Build out new applications and business solutions as part of a combined data scientist / machine learning / engineering team....
From DemandBase - Wed, 05 Apr 2017 01:04:05 GMT - View all San Francisco, CA jobs
          Comment on FIR B2B podcast: do’s and don’ts of marketing research by Jamie Diamond   
Conversely, I believe the data science that won the election was from our new Chief of Staff Priebus who was crazy like a fox with 2012 postmortem data finding the silent majority that didn't vote but was ready to come out: "The resultant $175-million investment in voter data and modeling, as well as heavy spending on field offices and online fundraising, allowed the Trump campaign to plug into a fully operational campaign infrastructure." http://www.politico.com/story/2016/11/reince-priebus-trump-victory-231159
          Junior Data Scientist - Business & Decision - Woluwé-Saint-Lambert   
Junior Data Scientist : Function Are you interested in playing an important role in contributing to the innovative world of tomorrow? Business & Decision is looking for Junior Data Scientists who just finished their studies to join a comprehensive training program incorporating various technologies and practice expertise. Depending on your interests and career objectives, you will first start with a training in one of our data driven departments Information and analytics...
          Data Scientist - Business & Decision - Brussels   
Are you passionate about data? Do you like developing algorithms for recommendation engines, developing time series or employing deep learning methods on information? Are you familiar with the concepts like regression analysis, supervised and unsupervised learning, tensor flow? If the answer is "all of the above" you are the right person to apply to this job! Function As a Data Scientist @ B&D your job will be able to propose and develop advanced analytical models for a series...
          Offer - SELENIUM ORIENTED ONLINE TRAINING, CERTIFICATION & JOB SUPPORT @ JSVITSOLUTIONS - USA   
NATURAL ADABAS SAP-HANA .NET (C#, ASP, ADO) MVC DATASTAGE COGNOS BI SELENIUM UI Developer (Html, CSS, JavaScript, JQuery, Bootstrap, Angular JS , Node) SHAREPOINT 2013 (DEV & ADMIN) SQL SERVER DBA MS-BI (SSIS, SSRS, SSAS) BUSINESS ANALYSIS SAS Base SAS Advance SAS training Clinical SAS BI/DI training TABLEAU QLIKVIEW SALESFORCE Lightning JBOSS, JBPM IBM BPM ( Lombardi) TIBCO BW, BE, BI TIBCO Spotfire TIBCO BPM PEGA PRPC BPM ORACLE BPM Python OpenSpan CA Siteminder Softlayer Webfocus MS-AX Dynamic Technical ITIL – Foundation Python MariaDB Mule ESB Appian DevOps IBM BLUEMIX INGRES (Database) AWS (Amazon web services) Dell BOOMI SPLUNK AEM Administrator (Adobe Experience Manager) APACHE SPARK SCALA CASSANDRA SCOM (System Center Operations Manager) SAP-Lumira IBM SERVICE NOW IBM MAXIMO Workday Studio Integration Workday HCM Workday payroll Workday Finance PEOPLE SOFT HRMS DIGITAL MARKETING MICROSOFT AZURE INFORMATICA MDM INFORMATICA IDQ INFORMATICA HADOOP (BIGDATA) HADOOP (BI) Business intelligence Hadoop Spark /Scala HADOOP TESTING Data Science R Programming PEGA BPM (PRPC) PEGA TESTING MongoDB Angular JS Contact Person: pradeep Contact Number: 91-9866955524 USA: 001-318-707-8350 Whats app: 9866955524 Email ID: jsvitsolutions@gmail.com Website: www.jsvitsolutions.com
          Offer - COGNOS BI ORIENTED ONLINE TRAINING, CERTIFICATION & JOB SUPPORT @ JSVITSOLUTIONS - USA   
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          Data Scientist - 3M - Maplewood, MN   
This position will work closely with FP&A, Business Group finance teams, Treasury, Tax, Audit and Internal reporting teams to complete high impact projects....
From 3M - Wed, 29 Mar 2017 01:44:52 GMT - View all Maplewood, MN jobs
          Process Data Scientist (Woodbury, MN) - 3M - Woodbury, MN   
Implement relevant and valuable computational algorithms in software that support 3M businesses. Provide strong understanding of internal business segment...
From 3M - Tue, 07 Mar 2017 20:00:10 GMT - View all Woodbury, MN jobs
          Data Scientist - Consultants 2 Go - United States   
As Data Scientists, we work with business leaders to solve clients’ business challenges and improve clients’ marketing results....
From Consultants 2 Go - Tue, 27 Jun 2017 02:58:08 GMT - View all United States jobs
          Data Scientist   
Do you have what it takes to be mission critical We are always looking for team members that have what it takes to be mission critical. At Unisys Federal Systems, our team supports the Federal Government in their mission to protect and defend our nation, and transform the way government agencie...
          Data Science Reasoning, by Anne L. Washington   

During this year that I have been off I've been thinking about how to teach both people who are trained in technical parts of data science, and also policymakers, how we could have a common language. And then that way we could have these conversations so we could talk together.

Data Science Reasoning appeared first on Open Transcripts.
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          Data Science for Social Innovation   
La data science oggi è diventata una delle leve di innovazione più potenti. Negli ultimi anni, infatti, stiamo assistendo alla pervasiva diffusione delle tecnologie digitali e a un aumento significativo dei dati disponibili. In che modo si possono sviluppare e applicare nel terzo settore le tecnologie, le competenze e gli algoritmi che permettono di sfruttare […]
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          Data Scientist - SME level - Praxis Engineering - Reston, VA   
No red tape. Ability to identify and/or develop business opportunities. Thorough knowledge of Agency business operations and associated processes....
From Praxis Engineering - Fri, 09 Jun 2017 07:13:27 GMT - View all Reston, VA jobs
          Data Scientist - Praxis Engineering - Reston, VA   
No red tape. Utilizing complex mathematical, statistical or other data-driven problem solving analysis to identify significant intelligence issues or trends in...
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          Data Scientist - Mid - Praxis Engineering - Reston, VA   
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          Sr Data Scientist - Praxis Engineering - Reston, VA   
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          Data Scientist - Senior Consultant - Clarity Insights - United States   
Candidates must possess excellent SQL Skills working with RDBMS's such as Oracle, DB2, Redshift, Vertica, Greenplum, or Teradata....
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          Data Scientist - Principal - Clarity Insights - United States   
Prefer candidates with strong SQL Skills working with RDBMS's such as Oracle, DB2, Greenplum, Redshift or Teradata. Do YOU have a passion for working with Data?...
From Clarity Insights - Fri, 24 Mar 2017 10:04:37 GMT - View all United States jobs
          Harvard Aims to Reinvent Business-Engineering Education   

A new joint business-engineering master’s program to accelerate innovation, entrepreneurship, and leadership for technology companies

Business dean Nitin Nohria and engineering and applied sciences dean Francis Doyle III meet at the classrooms above the iLab to discuss their faculties’ new joint master’s degree.

Eliza Grinnell, SEAS Communications


Business dean Nitin Nohria and engineering and applied sciences dean Francis Doyle III meet at the classrooms above the iLab to discuss their faculties’ new joint master’s degree.

Eliza Grinnell, SEAS Communications

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Harvard launches engineering-management degree
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The most interesting new collaboration at Harvard—between the schools of business (HBS) and engineering and applied sciences (SEAS)—took a significant step forward today when their deans unveiled a joint master’s degree aimed at equipping students with the engineering, management, and design skills to drive innovation in new or established technology companies. The two-year, full-time program will begin to enroll students in August 2018. That cohort would be eligible to receive their joint master of science in engineering sciences and master of business administration (S.M./M.B.A.) degrees at Commencement in May 2020—even before the new SEAS complex, home to about two-thirds of the school’s faculty, is scheduled to open that summer.

The students themselves will have to fulfill three criteria to gain admission:

  • an undergraduate degree in engineering, computer science, or a related technical field (the so-called STEM disciplines of science, technology, engineering, or math);
  • at least two years of full-time work experience—preferably in designing or developing technology-intensive products; and
  • satisfying the separate requirements for admission to the HBS and SEAS degree programs.

In a bit of fitting symbolism, HBS dean Nitin Nohria and SEAS dean Francis Doyle III met last week to talk about the new program above the Harvard iLab—the venue for student entrepreneurship—in the third-floor “hive” classrooms (the home to the business school’s FIELD program, where students add hands-on learning experiences to their traditional case-method instruction). The iLab is just across Western Avenue from the SEAS construction site, where a huge crane had been assembled and the first structural steel for the engineering complex had been delivered days earlier.

The science and engineering facilities will both accommodate SEAS’s growing faculty ranks and student appeal, and make tangible the possible connections between the two schools. If anything, their academic relationship—committing to joint teaching, and a joint degree program, in advance of the physical co-location—is even more significant, since it involves the currency of the University’s educational mission. As such, announcing the S.M./M.B.A. accelerates the developing HBS-SEAS partnership:

  • In May 2016, the two faculties held a joint research symposium in Allston—described as a formal “first date” to introduce their unique pedagogies and research interests and methodologies, and spark opportunities for collaboration. At that time, the deans forecast that curricular partnerships might require a few years’ gestation, so their focus was on research.
  • Last November, they convened again, at the Northwest Building science complex in Cambridge, for a research “mixer” featuring presentations by both faculties.
  • And in his annual “priorities” letter to colleagues this past January, Nohria hinted about “finding areas of mutual benefit—ultimately, perhaps, culminating in a new degree proposal.”

Five months later—the blink of an eye by academic standards—both faculties and the Corporation have blessed the S.M./M.B.A., and plans are proceeding to teach the initial class of 30 matriculants.

The announcement also underscores the rapid change at SEAS: it follows the 2015 launch of the design engineering master’s program with the Graduate School of Design (read about the curriculum and initial students here), and the new data-sciences master’s degree (also enrolling students in 2018). For a large school like HBS, the new joint degree is an incremental addition to its teaching program (each M.B.A. class enrolls more than 900 students). But for a much smaller entity like SEAS, each new master’s degree represents a significant expansion of its decade-long growth spurt—and its enlarging role in the surrounding network of research and business enterprises. 

The S.M./M.B.A. also signals the known and prospective expansion of the broader Harvard presence in Allston (see “The Allston Agenda,” below).

“A Holistic Approach”: The New Degree Program


Robert D. Howe, a leading robotics researcher, has long taught design engineering—and now co-leads the new joint-degree program with HBS.
Courtesy of SEAS

Because the S.M./M.B.A. program aims to train “the next generation of leaders,” as Nohria put it, “the set of leaders the world looks to” in technology enterprises, HBS and SEAS have distinguished their nascent program from somewhat similar offerings at other leading research universities—in particular, MIT’s suite of integrated design and management and system design and management programs and one at Northwestern’s Kellogg School. The Harvard students’ combined prior undergraduate studies, required work experience, and two-year curriculum—with its deep immersion in engineering, much of HBS’s management curriculum, and design disciplines applicable to both products and enterprises—differentiate the new joint degree.

Once they arrive on campus, students will follow this curriculum:

  • a three-week summer course in “system engineering”: an SEAS-taught, quantitative course that will, according to Lawrence professor of engineering Robert D. Howe, refresh students’ quantitative skills and then deepen their understanding of methods for analyzing and designing complex systems across engineering domains, whatever their prior field (mechanical engineering, computer science, etc.);
  • the HBS first-year M.B.A. required curriculum (covering finance, marketing, financial reporting and control, leadership and organizational behavior, operations, strategy, ethics and accountability, and more), complemented by a seminar series aimed specifically at the joint-degree students;
  • an intensive January “Technology Venture Immersion,” a jointly taught entrepreneurship experience in which teams take an idea through assessment of customer needs, design and prototyping, testing of the business model, and intended marketing—and then present it to a panel (typically involving a faculty member, an entrepreneur, and an investor) for feedback and assessment;
  • internships or a Harvard-supported entrepreneurship experience during the summer between the two class years; and
  • a second year consisting of both electives in HBS and SEAS, and two jointly taught, purpose-built courses. The fall offering on “integrated design,” aimed at achieving advanced skill in human-centered design (see “The Vision,” below), project management, visualization, and business analytics, intends to be “a holistic approach to understanding both the end users’ needs, the constraints on delivery of solutions, and creative engagement with the huge range of solutions,” Howe said during a conversation at Pierce Hall. Its foremost goal is making students comfortable with prolonged uncertainty, in the interest of broadening the range of possible solutions they may consider—and finding better ones than the first idea that comes to mind. The January-term and spring “capstone” are centered on a team project, proceeding from idea through design and possible prototyping, culminating in a report, business plan, or other suitable product that precedes awarding of the masters’ degrees.

In outlining this course of study, Doyle said, “our faculties have found a perfect balance” of management and technical-engineering training, yielding a program that should equip “individuals who have the best of both” disciplines. Nohria noted that the proportion of M.B.A. candidates who enter HBS with an undergraduate STEM (science, technology, engineering, and mathematics) background has risen steadily, to perhaps more than one-third of the student body, but they have enrolled in a management program because they have become “less interested in remaining technical experts.” In contrast, he said, candidates for the new master’s program are likely to be “self-selected students who are inspired by wanting to have deeper technical training than just from their undergraduate degree,” and deeper business skills: people committed to management leadership in an explicitly technological context.

The Vision: Capturing “the World’s Imagination”

“If you think about the leaders who have captured the world’s imagination” in the past two decades, Nohria continued, citing Amazon, Google, and Facebook, most have come from a technology background and have developed managerial skills along the way.

Conversations with company leaders (Nohria cited Amazon) confirm an interest in hiring “people who could have this deep technical expertise along with general management” preparation. HBS faculty members, he noted, might well understand an organization involved in machine learning or other computer and artificial-intelligence disciplines, but are in no position to educate students about writing algorithms. Advances in life sciences and information technology represent “gigantic business opportunities,” he said—playing to the intellectual expertise of SEAS researchers. Doyle pointed to the life sciences, robotics, the “Internet of things,” and cloud computing as fields that “will accelerate in Boston” as ideas emerge from university and other laboratories, and new ventures and existing businesses organize to apply them.

Ultimately, as HBS and SEAS become physical neighbors, Nohria said, Harvard’s planned 36-acre “enterprise research campus” (ERC) will be created “adjacent to both of us,” extending east along Western Avenue toward the Charles River. “My ultimate hope,” he said, is that the next Google or Facebook will be led by a graduate of the new program, joining the two schools and anchored in the ERC—a result he called “the trifecta.”

First things first: why would engineers aspiring to senior management, or management trainees hoping to master enough technical content, interrupt their careers for two years to get a new degree? Business skills “can be learned through experience,” Nohria conceded—­but doing so is time-consuming, and success is hit-or-miss. Formal management education results in graduates who are “much better prepared” and who have “much better odds” of success in leading business enterprises.

Doyle noted that “the dynamic nature of fast-moving sectors in technology these days” means that even engineers with undergraduate training may find their technical knowledge becoming rapidly obsolete in face of discoveries in cell biology, computing, or other fields. They may wish to tune up that side of their expertise as well.

Then there is the challenge of coping in any business organization with highly technical products or services. Nohria (whose undergraduate training was as a chemical engineer) pointed out that it can be much easier for someone with technical credentials to have a credible conversation with engineers or other technologically expert colleagues. In such enterprises, the business leaders “benefit immensely” from their engineering backgrounds or related training.  

Inside “the Head of a Single Founder”: Designing the Degree


Thomas R. Eisenmann, a member of HBS’s large entrepreneurial-management unit, has created M.B.A. learning-by-doing courses—a key part of the new program with SEAS.
Courtesy of Harvard Business School

Although Doyle and Nohria reported sharing common views on these matters from conversations that preceded Doyle’s appointment as SEAS dean two years ago, the template for the S.M./M.B.A. venture arose from their faculties. A case study prepared to facilitate the schools’ research symposium in May 2016, written by Stevenson professor of business administration Thomas R. Eisenmann, noted the vision for a “design and entrepreneurship” master’s degree advanced by Howe, of SEAS, whose research encompasses biorobotics and biomedical robotic devices and procedures. (For a recent, promising commercial application, see the Righthand Robotics website; the firm, which recently completed a venture-funding round, hopes to enable e-commerce companies, which use robots to pick goods from shelves, to employ robots for the final stage in shipping: selecting the picked items for each customer’s package. A “proud papa,” Howe has one of the company’s demonstration videos on his smartphone.)

Eisenmann, a member of HBS’s entrepreneurial management unit, co-created the elective M.B.A. course “Product Management 101” (how to know what to build), and leads a January “startup boot camp” for first-year students. As he explained in a conversation at HBS’s Rock Center for Entrepreneurship, much of his research and teaching focuses on venture formation or product development as “a design process.” He illustrates a two-stage sequence of “problem-finding” (casting a wide net to find out how customers define an unmet want or need, before narrowing the possible specifications) and “solution-finding” (again, generating lots of prototypes, screening them in a structured way, determining what features to include or eliminate, and determining the best business model to produce that solution).

This process—“problem-finding before you generate solutions,” and guarding against isolating a solution too soon, or falling in love with a catchy product before determining demand—embeds all kinds of teachable skills: rigorously human-centered design; rapid prototyping and evaluation; maintaining as lean an organization as possible while these tasks are being carried out, to minimize excessive financial commitments; and so on. And the best way to teach them, he noted, is in learning-by-doing courses (like the two noted above), as opposed to case-method instruction. Some of that learning, obviously, requires the M.B.A. product manager to think about the technical contents and specifications of many kinds of products and services.

After the inception of the product-management course, in 2012, through January-term trips to technology companies in Silicon Valley and New York, Eisenmann met SEAS faculty members who include design in their teaching—among them Howe; Beth Altringer, senior preceptor in innovation and design; Fawwaz Habbal, senior lecturer on applied physics and executive dean for education and research; and McKay professor of computer science Krzysztof Gajos.

Doyle described design courses—integrating the elements of a technical problem to present a solution—as the capstone to an engineering education. And in fact, the depth of teaching related subjects at SEAS may have come as a revelation to HBS professors. A quick glance at the engineering-sciences course list turns up “How to Create Things and Have Them Matter,” “The Innovator’s Practice: Finding, Building, and Leading Good Ideas with Others,” “Design Survivor: Experiential Lessons in Designing for Desirability” (those two by Altringer), “Humanity and Its Challenges: Systems Thinking and Engineering Design,” “Startup R&D,” “Engineering Problem Solving and Design Project,” “Engineering Design Projects,” “Medical Device Design,” and several others. Said Howe, who has taught design courses at Harvard for 25 years, accreditors have required engineering schools to teach design classes, but during the past decade, the realization has set in that design thinking, broadly, is “a key approach in many different areas.” And of course, these are hands-on, doing courses, not simply lectures; “It’s hard to teach design in a lecture or case format,” Howe said. “It’s like teaching clinical medicine.” And so each school finds its pedagogy evolving, in ways that turn out to be complementary.

Sensing the intersection of engineering and management in design—of products and of the organizations that make and market them—“is very powerful when they are grouped together,” he continued—a notion he and Eisenmann discussed long before idea for the joint degree took shape. And then, of course, devising it became a design problem.

Late last December, Doyle and Nohria formed a faculty committee, led by Eisenmann and Howe, to determine how to bring these disciplines together in a teaching program. Early in the new year, they were joined by Altringer and Smith professor of computer science Margo I. Seltzer of SEAS, and Novartis professor of leadership and management Amy C. Edmondson, Carter professor of business administration Sunil Gupta, and M.B.A. Class of 1949 adjunct professor of business administration Alan D. MacCormack of HBS. Their work, Eisenmann said, began on January 16 and, assisted by several administrative-staff members from the schools, proceeded “really fast.”

The faculty members tried to determine how to “combine what we’ve respectively learned” about project-based, hands-on learning, Eisenmann said. Although many M.B.A. candidates with STEM backgrounds “do know enough technology” to develop a technology-based business, or to find a technologically savvy co-founder, a large number do not—and many of the tech experts, of course, lack desired business training. The SEAS members of the committee found the inverse problem. Both problem-finding and solution-finding involve “constantly making tradeoffs,” he said: differentiating a product and its features, refining a business organization from its initially sketchy, chaotic start-up phase toward a more orderly, stable entity with specialized roles.

Accordingly, the curriculum they settled on has significant doses of both management and engineering (consistent with Dean Doyle’s observations on keeping current in rapidly changing fields like machine learning, artificial intelligence, and bioengineering)—and the third, distinctive element that helps define this degree: the iterative design processes from which successful products or services and the businesses that supply them are most likely to emerge. Students will therefore design, built, and launch several products or services during their two-year program, at increasing levels of sophistication, preparing them to found their own ventures or assume senior innovation roles managing and engineering products within larger enterprises.

“We see this as combining entrepreneurship” in new ventures with product management in technology companies like Google or GE, Howe said. “You’re the person in charge of marketing, production—everything about that product.” The joint degree’s mix of training in engineering, management, and design, Eisenmann hopes, will attract applicants with technological backgrounds who seek such roles but would never have considered seeking a management degree.

Combining “graduate-level technical knowledge with business fundamentals,” Howe said, means that early in a product’s life cycle, when there is an intimate connection between its technical features, how to make them, and the resulting cost to market the result to customers, “We’re putting all that into the head of a single founder”—a huge advantage.

To realize that broad educational goal, the planning committee’s faculty members intend to teach in the new program, joined by colleagues like Gajos.

The committee looked seriously at boiling down the year-long HBS required curriculum, Eisenmann said, but determined that almost all the contents were essential for future company leaders—and that the case-method classes were a very effective complement to the hands-on-learning students will encounter in their other courses. “You shouldn’t hurry this,” the committee heard in its interviews and focus groups with students, alumni, and business leaders.

The complete two-year curriculum yields about 80 percent of the academic credits required by the two schools’ separate S.M. and M.B.A. programs, Eisenmann said: about the same proportion required in the joint J.D.-M.B.A. and M.P.A./M.P.P.-M.B.A. programs the Law School and Kennedy School offer with HBS.

Even before the new program begins, its creators can imagine synergies with its parent schools. Given the fraction of current HBS students with prior STEM degrees, perhaps just a few dozen also have the required work experience to qualify for the new master’s degree, Eisenmann estimated. Seeding them into the first-year required M.B.A. courses should enliven and enrich those classroom case discussions. Thus, even as their separate trajectory aims at “educating future leaders of technology ventures,” as he put it, their participation in half of the M.B.A. course of study ought to benefit that much larger cohort.

Over time, if the new program’s courses catch on, and can be staffed to scale up, students pursuing other HBS and SEAS degrees, and those from other Harvard schools, might be able to cross-register. For SEAS, where graduate education aims less at terminal master’s degrees than doctorates, the new program might eventually yield more elective courses for all the school’s students. And as Nohria noted, having their faculty members teach jointly is a powerful bridge to research collaborations, too. (When Howe met to discuss the new program, he had just returned from a robotics conference in Singapore, and was about to return there, joining an HBS faculty group who are visiting Southeast Asia to explore a wide range of manufacturing businesses; at least at this level, the research connections are under construction, too.)

“Finally, the Time Is Ripe”: The Bigger Picture

In broader perspective, Dean Nohria noted, HBS has been on its side of the Charles River, along with Harvard athletics, for a century. With the new engineering facility finally under construction, “Now we have this great opportunity of having SEAS as our academic neighbor.” The joint S.M./M.B.A. degree, he said, is “the first concrete manifestation of what our partnership might be.”

Given converging business and engineering interests in fields ranging from cloud computing to informatics, Dean Doyle said, at the two 2016 research symposiums, “You [couldn’t] tell who’s who” as faculty members from the two schools spoke about their interests. Nohria amplified, observing that there was “more overlap than we or our faculty may have imagined,” even as professors from each school have “deep respect for the independent expertise of each” (for example, the HBS scholars’ reliance on SEAS experts for creating and testing algorithms).

Boston is “one of the most longstanding innovation districts in American,” Nohria continued, from the ideas that animated the American Revolution through mill-based industries like textiles and shoe manufacturing to contemporary fields such as life sciences, robotics, and cybersecurity. Silicon Valley notwithstanding, he said, “I don’t think we should underestimate what Boston has historically been, what it is, and what it can be.

Doyle, who came to Harvard from the engineering school at the University of California, Santa Barbara, said that compared to the spread of people and resources in the west, in Boston they are “very proximal,” making for a “close, collaborative ecosystem” of universities, hospitals, and technology enterprises. Boston has the “highest density of research universities on the planet,” Nohria said, creating powerful opportunities for synergies and for linkages among the clusters of expertise in Kendall Square (near MIT), the Seaport innovation district in Boston, along the circumferential routes 128 and I-495—and, emerging, in Allston.

Student entrepreneurs at work in the iLab may be pointing the way forward, he continued, reaching out to peers at MIT. “Those are early signs that if we can pull these innovation districts in Boston together,” he said, the opportunities to commercialize promising science (from the Medical School and affiliated hospitals, Wyss Institute, and elsewhere) are enormous.

More generally, both deans said, their alumni broadly are excited about the potential SEAS-HBS collaboration, and this initial sign of its potential. Fully 170 years after the predecessor to SEAS sprouted (the Lawrence Scientific School, in 1847), and a century-plus after HBS came into being, Doyle said, “Finally the time is ripe for this” commitment to applied science and commercialization, together.

The Allston Agenda

In that context, the drama attending the construction of the engineering and applied sciences facility ought not overshadow other Allston developments in the offing. Among them, it would be reasonable to expect news on some or all of these fronts when the academic year resumes in late summer and into the fall semester:

  • a gift announcement (or several) for the SEAS building—a billion-dollar project for which gifts have not yet been disclosed, but are being ardently sought as a high priority during The Harvard Campaign (scheduled to end in June 2018) [Updated June 19, 8:10 A.M.: The University today announced a small piece of the larger Allston SEAS puzzle: a gift from Cihang Foundation, affiliated with HNA Group, the Chinese tourism, logistics, and financial-serices conglomerate, to fund the 5,000-sqare-foot “maker space” in the new complex.];
  • more concrete plans for an Allston-based data-sciences institute, perhaps at the site designated for the “Gateway” building near the intersection of North Harvard Street and Western Avenue—a priority identified as part of the data-sciences initiative unveiled last March. (In his January 2017 letter, Nohria noted that HBS, having achieved its $1-billion campaign goal, would seek to raise an additional $300 million, in part to help realize “the vision of One Harvard by supporting work across the University and advancing Harvard’s (and our own) aspirations in Allston.” Data science would clearly fit.);
  • an enhanced arts presence, beginning with the installation of The Grove, a Graduate School of Design student project (at the park at the North Harvard-Western Avenue intersection), perhaps to be followed by an art-innovaton and -making space; and
  • at some point, preliminary plans and initial regulatory proceedings for the enterprise research campus farther east along Western Avenue.

After three decades of land acquisition and planning in Allston, and the seven-year delay in constructing the engineering complex in the wake of the financial crisis at the end of the prior decade, there is more than enough going on to merit paying close attention in the months ahead, as Harvard’s future across the river, and perhaps the wider Boston community’s, begins to take shape.

Read the news announcement here. HBS’s program description appears here.

 

Harvard launches engineering-business degree
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          Шлях джавіста: від інтерна до IT-директора   

У цій статті я розповідаю про свою любов до Java, чому вважаю джавістів найкращими професіоналами та розповідаю про свій шлях від інтерна до ІТ-директора однієї із бельгійських компаній в межах N-iX.

У кожного з нас шлях у світі Java складається по-своєму. Хтось починає у маленькому стартапчику, який з часом закривається через брак інвестицій, і потрібно все починати знову. Хтось відразу ж потрапляє у велику компанію. Декому вдається стати сініором за 1,5 роки, і він ламає собі голову, куди ж рухатись далі. Кожен такий досвід чогось вчить і підштовхує до певного вектора розвитку. Я свій шлях проходив протягом 10 років у 4 компаніях і виніс з нього багато вагомих уроків. Один з найцінніших полягає в тому, що в світі технологій все змінюється досить швидко, і щоб бути класним, затребуваним спеціалістом, потрібно постійно бути в курсі змін та нових технологічних рішень і завжди дивитися на крок попереду себе — і в сенсі інновацій, і в сенсі власного кар’єрного розвитку.

Потрібно завжди тримати себе в тонусі, щоб бути впевненим, що ти відповідаєш певній позиції не просто за кількістю років, але перш за все за прокачаністю та професійністю. І тоді ти зможеш сміливіше проявляти ініціативу і братися за щось складніше. Тоді будеш готовим до викликів та більших обов’язків, які не завжди можеш передбачити заздалегідь.

Перші кроки в IT

Я почав своє знайомство з девом ще за часів студентства. Пішов у маленьку польську компанію, яка розробляла ігри на J2ME. Тоді писали багато софта під мобільні телефони, і ця технологія була неабияк популярна. Компанія була невеличка, і мені доручали багато різноманітних завдань, з якими треба було самому сидіти та розбиратись. Це дуже драйвило навчатися новому, здобувати ‘’медальку’’ і рухатись далі. Пропрацював я в цій компанії 1,5 роки. Cпочатку був залучений до гейм-девелопменту, потім пробував себе трохи у вебі. У світ якраз тоді вийшла нова платформа — Android. І як тільки з’явилась її альфа-версія, мені дали єдиному в компанії імпортувати на неї ігри на Java. Закінчилося тим, що я написав статтю про Android, в якій oписав перспективи платформи і чи можна взагалі на ній розробляти ігри, i її надіслали у Польщу. Тоді це було першим знаком для мене, що Android витіснить J2ME. І я зрозумів, що ті знання, що в мене є про J2ME невдовзі застаріють і потрібно їх оновлювати, тримати ніс за вітром і рухатись вперед. На той час мене дуже цікавив Android, але у львівських компаніях експертизи по цьому напрямку не було, і я пішов у інше русло. Власне, я продовжив свій шлях у напрямку Java SE/EE.

Оглядаючись на свій досвід, я б радив випускникам університету намагатися отримати свою першу роботу саме у невеличкій компанії. Там менший поріг входження, але можливості для розвитку та навчання є значно більшими, бо ти cтановиш досить велику частину цієї маленької компанії у всіх сенсах. Якщо ж бракує якихось конкретних знань, щоб потрапити у таку компанію — то потрібно скласти навчальний план і довести свої знання до необхідного рівня. На мою думку, краще йти ось таким виправдано складнішим шляхом. Проте, якщо бракує мотивації чи часу, то завжди можна знайти свій ентріпойнт у якійсь великій компанії, яка, можливо, не дасть такої хорошої бази знань, проте надасть розуміння більшого контексту та різноманітних процесів всередині компанії, що теж є непогано.

Розуміння майбутніх перспектив

Отримавши свій хороший старт у польській компанії, я перейшов працювати у більшу українську компанію, яка переважно займалась аутсорсингом і налічувала вже 75 людей. Мені подобалось те, що компанія співпрацювала з європейськими замовниками. Власне, ми розробляли швейцарцям різні системи. Тут я працював джуніор спеціалістом і почав серйозніше ставитись до роботи. Це вже була порівняно велика компанія з чіткіше налагодженими процесами і хорошим менеджером. І це був мій перший справжній досвід спілкування і з замовниками, і з делівері менеджерами. Насправді тут я побачив, які взагалі спеціалісти існують, і що світ широкий, є багато перспектив, і можна рухатись, куди захочеш. Тут вже був рівень не мобільної Java, в якій є багато всіляких обмежень, а Java рівня ентерпрайз. У нас була матриця знань і змога прогресувати, що для мене було завжди дуже пріоритетним. Я там попрацював 3 роки і зрозумів, що вже переріс цю компанію, починаю стояти на місці, і потрібно рухатися далі.

Аналізуючи свій досвід та досвід інших, можу сказати, що на етапі трейні-джуніор людина, наче мушля, дуже багато в себе вбирає, проте вона рухається, неначе в тунелі, та не має чіткого розуміння, що відбувається і куди рухатися далі. І щоб перейти на рівень якісного мідла — потрібно навчитися самому оцінювати, розуміти та структурувати все те, чого ти навчаєшся. Дуже важливо за 2 роки сформувати в себе розуміння того, що немає когось, хто буде відповідати за розбудову твого кар’єрного шляху у компанії. Насправді ти сам є такою собі «компанією» з різноманітними відділами, як-от девелопмент чи маркетинг, і перш за все ти маєш бути зацікавлений у розвитку та рості своєї «компанії». І от це розуміння дозволить рухатися цілеспрямовано, а не інертно.

Потрібно скласти собі PDP (Personal Development Plan), який буде, наприклад, складатися з трьох пунктів:

  1. Що тобі подобається робити;
  2. Що тобі треба робити, але поки не вдається;
  3. Трендові штуки, які треба час від часу пробувати.

Такий план можна підшукати для себе онлайн. Маючи вже базу на рівні мідла, людина свідомо обирає для себе, куди саме вона як спеціаліст хоче рухатись далі. До прикладу, обирає для себе якусь вужчу технологічну сферу, наприклад, Machine Learning, або ж обирає якийсь конкретний домен. Я зараз дуже раджу вже на цьому рівні зв’язувати себе з якоюсь сферою, наприклад, фінансами. Адже зараз найбільше цінують спеціалістів не лише з певними технологічними знаннями, але перш за все з експертизою в певному домені. І на цьому рівні потрібно вже будувати PDP на наступну сходинку — рівень сініора

Досвід тімліда на ентерпрайзному проекті

Оскільки я прагнув розвитку та розмаху, то пішов працювати у одну з найбільших ІТ-аутсорингових компаній в Україні. Мене підкупило те, що вони мали в Україні повний цикл розробки. Спочатку я хотів піти на Android, який мене чомусь завжди приваблював, але мене переконали, що Android — це така технологія, яка не показує масштабу. І я пішов на велетенський джавішний проект з нуля. Це був повний Java-стек, хороший ентерпрайз, класні технології, i в ньому було залучено багато спеціалістів. Почав я там сініор девелопером, а з часом став тімлідом і отримав більше обов’язків, з-поміж яких і набір джуніор спеціалістів в команду.

На цьому великому проекті я співпрацював з дуже крутими людьми: бізнес-аналітиками, архітекторами, займався бізнес-девелопментом і навіть переймав деякий менеджерський досвід. Проект був цікавий ще тим, що тоді якраз джавішна спільнота прагнула бути незалежною, тобто хотіли брати один стек технологій Java і її різних фреймворків, щоб закривати всю компетенцію і не залежати від Frontend-спеціалістів та всіх інших. Ми ставили собі завдання виховати інженера, який зможе на Java написати будь-яку програмку. От тільки його одного посадиш, і маєш візуально готовий продукт, звісно ж якщо інтерфейс не вимагав дуже привабливого дизайну. Ta з часом, десь після двох років такого процесу, виявилось, що це не дуже вдала ідея. Окрім того, JavaScript почав активно розвиватися. Таке рішення було хорошим лише для дуже простих інтерфейсів, для консольних рішень, які не вимагають супер-сексі дизайну. Однак потім i воно мало свою прогалину по сапорту, i підтримувати це було дуже важко, адже якщо готові UI-компоненти на Java були з дефектами, то їх було потім дуже важко фіксити. І це значною мірою впливало на гнучкість та сексуальність дизайну. Тож ми свою роль виконували, але сапорт-спеціалісти витрачали потім дуже багато часу на підтримку продукту, коли вже кістяк було написано. Так я отримав свій хороший досвід ентерпрайзу і захотів змін і чогось більшого.

Аналізуючи цей період, можу сказати, що на рівні стронг мідла — початку сініора, коли вже є солідна база знань, важливо не зазнаватись. Головне завдання на цьому етапі — бути сильним спеціалістом і мати щось таке, за що тебе можна буде виділити з-поміж інших, наприклад, дуже круті знання в якійсь специфічній технології, виступи на якусь тему, наприклад, Data Science. Вже на рівні сініора-ліда важливо чітко усвідомлювати, які в тебе сильні сторони. Якщо є емпатія та певний набір софт скілів, тоді потрібно розвивати свої менеджерські здібності. Якщо ж переважають технічні навики та схильності, то потрібно шукати якісь real-life challenging projects, щоб максимально їх прокачати.

Як я потрапив у N-iX і став IT-директором у бельгійській компанії

В пошуках саме таких проектів я перейшов на N-iX. Якщо в попередній компанії я отримав дуже крутий досвід ентерпрайзу, то тут мене привабила продуктова фішка. Я пішов на проект, який був саме продуктовим, з розумінням того, що він буде з нуля, і тут буде змога реально побудувати щось своє, яке вийде в продакшн і чим можна буде пишатися. Я був тут першою людиною, наймав всю команду, писав кістяк того софта, налаштовував якісь базові речі деплойменту.

Окрім Java на проекті було багато інших технологій, в тому числі Python i Ruby. Однак для вирішення багатьох основних задач на проекті я обрав саме Java, оскільки це було найкращим рішенням, було достатньо експертизи і в команді, і в N-iX загалом. І звісно замовник був не проти. Java завжди була технологією доступу до всього, яка вирішувала багато проблем, i в замовників не виникало сумнівів, чому саме Java. За це я її і люблю. Пам’ятаю, як я ще йшов на першу роботу, то доступ до знань з Java був обмежений, тому що вона не була така розповсюджена тоді, як інші мови, i було дуже важко знайти якісь курси. І до певного періоду, якщо хотів опанувати власне Java, потрібно було сидіти і навчатися самому. Тому якщо, бувало, ти зустрічаєш джавіста з досвідом, то це означає, щo людина сиділа, розбиралася і розуміє часто більше, ніж інші.

Спочатку я був на цьому проекті тімлідом, який набирав людей і створював команду за допомогою координації з Брюсселя, де знаходився IT-директор замовника. Перший рік з трирічного існування проекту ми власне так дзеркально і налагоджували стосунки: IT-директор з Брюсселя розраховував на мене в Україні, а я міг покластися на нього з того боку. І ми ось так будували продукт, щоб вивести його на ринок. Це була активна стадія розвитку продукту, де все збирається, як під час стрибка з літака, маючи елементи для складання парашута. Ми зібрали чудову команду і налаштували класні процеси із застосуванням сучасних підходів, де ми розмежували фронтенд і бекенд-розробку. Тобто в нас джавісти писали реально те, в чому Java найсильніша, i так само юайщики і девопс. В нас були всі спеціалісти різних рівнів, щоб повністю мейнтейнити продукт самостійно. Людям в Брюсселі подобалось, що ми були дуже самостійною одиницею, i якщо вони давали нам завдання практично будь-якого рівня складності, ми їх вирішували без зайвих запитань.
Таким чином, в Україні можна працювати начебто не у продуктовій компанії, але займатись продуктом, будувати щось, а не просто виконувати таски замовника, чого власне хочуть так багато сініор-спеціалістів.

Ми із замовником вибудували прекрасні відносини i були задоволені тим, як в нас з часом ріс рівень комунікації. І в певний момент вони вирішили, що з їхньої сторони CTO не потрібен, тому що усі ті процеси, які я з командою тут будував, я тут і закривав. Тож мені запропонували роль людини, яка закривала практично всю технологічну компетенцію продукту, представляла їхню компанію, їздила до Бельгії на сейлз-процеси та вела перемовини. Їм це подобалось, адже йшлося про людину, яка з перших рук знає, як там все працює і знає, куди можна рухатись.

Що стосуєтся технолoгічниx рішень, Java нас дуже задовільнилa i забезпечила увесь бекенд. Також велику долю успіху зіграла наша фронтенд-команда, девопс i тe, що ми могли це все дуже гарно і швидко виводити на ринок. На цьому проекті я спілкувався також з архітекторами з інших проектів, деякі з них були моїми друзями з попередніх компаній. В N-iX так заведено, що люди з різних проектів спілкуються між собою в чатах, завжди можна прийти і порадитись, і це створює хорошу робочу атмосферу. Власне, у нас є така собі внутрішня Java-спільнота.

Якщо ж говорити про задоволеність команди, то в різний час вона була різною, але загалом люди були задоволені, що мали можливість попрацювати на такому проекті. Це дуже корисний досвід і навіть зараз, після того, як вони пішли з проекту, то переоцінили своє ставлення до проектів і взагалі тe, чим вони б хотіли займатись. Тобто така продуктова історія у досвіді дала майндшифт у всьому, в тому числi у ставленні до технологічного стеку. Загалом це був хороший цикл для мене тривалістю в 2,5 роки, коли ми написали багато всього на Java. Це була можливість попрацювати повністю над продуктом і в технологічному сенсі, і в стратегічному.

Оглядаючись назад на цей етап, можу сказати, що на рівні тімліда потрібно мотивувати людей своїм прикладом, тоді тобі делегують більше обов’язків. Ти говориш, проявляєш себе, і тебе чують. Саме так я в межах одного проекту виріс із ліда у IT-директора.

Лід Java-девелопер... а куди ж далі?

Коли доходиш до певної точки свого професійного розвитку, скажімо, позиції сініор Java-девелопера, починаєш мимоволі задумуватись, а куди ж далі. На мою думку, векторів можливого розвитку є декілька.

Можна продовжувати рухатися в технічному напрямку: ставати техлідом, архітектором, ентерпрайз-архітектором. З точки зору архітектури та розвитку в ширину у Java-спеціаліста є куди рухатись, тому що багато різноманітних задач у різних сферах можна вирішити на Java. Це чудовий напрямок для справжнього технаря. Також можна розширювати свої скіли в специфічних Java-технологіях, таких як Hybris. Для тих же, кого приваблює менеджмент і розвиток та використання своїх софт скілів, більше підходить роль тімліда, щоправда технічні навики тоді з часом трохи втрачаються. Є ще один напрямок розвитку, а саме піти трішки в бік від звичайного ентерпрайзу та опанувати і заглибитися більше в такі інноваційні та перспективні зараз технології, як Machine Learning, Artificial Intelligence та Virtual Reality. До речи, у N-iX зараз є немало Java-проектів, які постійно шукають нових людей.

Насправді в Україні Java enterprise development буде актуальним ще багато років, тому про брак роботи не варто перейматися. Проте тим, хто прагне бути на передовій, варто тримати ці технології майбутнього на своєму радарі.


          Sentiment Analysis for NLP and Data Science Practitioners   
Bild: http://i96.fastpic.ru/big/2017/0629/55/354ecfdfd5968863e2289e0e31089255.jpg *Sentiment Analysis for NLP and Data Science Practitioners*...
          Data Scientist - Senior Consultant - Clarity Insights - United States   
Candidates must possess excellent SQL Skills working with RDBMS's such as Oracle, DB2, Redshift, Vertica, Greenplum, or Teradata....
From Clarity Insights - Mon, 17 Apr 2017 21:47:31 GMT - View all United States jobs
          Data Scientist - Principal - Clarity Insights - United States   
Prefer candidates with strong SQL Skills working with RDBMS's such as Oracle, DB2, Greenplum, Redshift or Teradata. Do YOU have a passion for working with Data?...
From Clarity Insights - Fri, 24 Mar 2017 10:04:37 GMT - View all United States jobs
          Data Scientist - EMD - Rockland, MA   
EMD Serono is a division of Merck KGaA, Darmstadt Germany. A career with us is an ongoing journey of discovery:....
From EMD - Wed, 03 May 2017 17:49:15 GMT - View all Rockland, MA jobs
          Data Scientist   

          Harvard Aims to Reinvent Business-Engineering Education   
Harvard launches engineering-business degree
Harvard launches engineering-management degree

The most interesting new collaboration at Harvard—between the schools of business (HBS) and engineering and applied sciences (SEAS)—took a significant step forward today when their deans unveiled a joint master’s degree aimed at equipping students with the engineering, management, and design skills to drive innovation in new or established technology companies. The two-year, full-time program will begin to enroll students in August 2018. That cohort would be eligible to receive their joint master of science in engineering sciences and master of business administration (S.M./M.B.A.) degrees at Commencement in May 2020—even before the new SEAS complex, home to about two-thirds of the school’s faculty, is scheduled to open that summer.

The students themselves will have to fulfill three criteria to gain admission:

  • an undergraduate degree in engineering, computer science, or a related technical field (the so-called STEM disciplines of science, technology, engineering, or math);
  • at least two years of full-time work experience—preferably in designing or developing technology-intensive products; and
  • satisfying the separate requirements for admission to the HBS and SEAS degree programs.

In a bit of fitting symbolism, HBS dean Nitin Nohria and SEAS dean Francis Doyle III met last week to talk about the new program above the Harvard iLab—the venue for student entrepreneurship—in the third-floor “hive” classrooms (the home to the business school’s FIELD program, where students add hands-on learning experiences to their traditional case-method instruction). The iLab is just across Western Avenue from the SEAS construction site, where a huge crane had been assembled and the first structural steel for the engineering complex had been delivered days earlier.

The science and engineering facilities will both accommodate SEAS’s growing faculty ranks and student appeal, and make tangible the possible connections between the two schools. If anything, their academic relationship—committing to joint teaching, and a joint degree program, in advance of the physical co-location—is even more significant, since it involves the currency of the University’s educational mission. As such, announcing the S.M./M.B.A. accelerates the developing HBS-SEAS partnership:

  • In May 2016, the two faculties held a joint research symposium in Allston—described as a formal “first date” to introduce their unique pedagogies and research interests and methodologies, and spark opportunities for collaboration. At that time, the deans forecast that curricular partnerships might require a few years’ gestation, so their focus was on research.
  • Last November, they convened again, at the Northwest Building science complex in Cambridge, for a research “mixer” featuring presentations by both faculties.
  • And in his annual “priorities” letter to colleagues this past January, Nohria hinted about “finding areas of mutual benefit—ultimately, perhaps, culminating in a new degree proposal.”

Five months later—the blink of an eye by academic standards—both faculties and the Corporation have blessed the S.M./M.B.A., and plans are proceeding to teach the initial class of 30 matriculants.

The announcement also underscores the rapid change at SEAS: it follows the 2015 launch of the design engineering master’s program with the Graduate School of Design (read about the curriculum and initial students here), and the new data-sciences master’s degree (also enrolling students in 2018). For a large school like HBS, the new joint degree is an incremental addition to its teaching program (each M.B.A. class enrolls more than 900 students). But for a much smaller entity like SEAS, each new master’s degree represents a significant expansion of its decade-long growth spurt—and its enlarging role in the surrounding network of research and business enterprises. 

The S.M./M.B.A. also signals the known and prospective expansion of the broader Harvard presence in Allston (see “The Allston Agenda,” below).

“A Holistic Approach”: The New Degree Program


Robert D. Howe, a leading robotics researcher, has long taught design engineering—and now co-leads the new joint-degree program with HBS.
Courtesy of SEAS

Because the S.M./M.B.A. program aims to train “the next generation of leaders,” as Nohria put it, “the set of leaders the world looks to” in technology enterprises, HBS and SEAS have distinguished their nascent program from somewhat similar offerings at other leading research universities—in particular, MIT’s suite of integrated design and management and system design and management programs and one at Northwestern’s Kellogg School. The Harvard students’ combined prior undergraduate studies, required work experience, and two-year curriculum—with its deep immersion in engineering, much of HBS’s management curriculum, and design disciplines applicable to both products and enterprises—differentiate the new joint degree.

Once they arrive on campus, students will follow this curriculum:

  • a three-week summer course in “system engineering”: an SEAS-taught, quantitative course that will, according to Lawrence professor of engineering Robert D. Howe, refresh students’ quantitative skills and then deepen their understanding of methods for analyzing and designing complex systems across engineering domains, whatever their prior field (mechanical engineering, computer science, etc.);
  • the HBS first-year M.B.A. required curriculum (covering finance, marketing, financial reporting and control, leadership and organizational behavior, operations, strategy, ethics and accountability, and more), complemented by a seminar series aimed specifically at the joint-degree students;
  • an intensive January “Technology Venture Immersion,” a jointly taught entrepreneurship experience in which teams take an idea through assessment of customer needs, design and prototyping, testing of the business model, and intended marketing—and then present it to a panel (typically involving a faculty member, an entrepreneur, and an investor) for feedback and assessment;
  • internships or a Harvard-supported entrepreneurship experience during the summer between the two class years; and
  • a second year consisting of both electives in HBS and SEAS, and two jointly taught, purpose-built courses. The fall offering on “integrated design,” aimed at achieving advanced skill in human-centered design (see “The Vision,” below), project management, visualization, and business analytics, intends to be “a holistic approach to understanding both the end users’ needs, the constraints on delivery of solutions, and creative engagement with the huge range of solutions,” Howe said during a conversation at Pierce Hall. Its foremost goal is making students comfortable with prolonged uncertainty, in the interest of broadening the range of possible solutions they may consider—and finding better ones than the first idea that comes to mind. The January-term and spring “capstone” are centered on a team project, proceeding from idea through design and possible prototyping, culminating in a report, business plan, or other suitable product that precedes awarding of the masters’ degrees.

In outlining this course of study, Doyle said, “our faculties have found a perfect balance” of management and technical-engineering training, yielding a program that should equip “individuals who have the best of both” disciplines. Nohria noted that the proportion of M.B.A. candidates who enter HBS with an undergraduate STEM (science, technology, engineering, and mathematics) background has risen steadily, to perhaps more than one-third of the student body, but they have enrolled in a management program because they have become “less interested in remaining technical experts.” In contrast, he said, candidates for the new master’s program are likely to be “self-selected students who are inspired by wanting to have deeper technical training than just from their undergraduate degree,” and deeper business skills: people committed to management leadership in an explicitly technological context.

The Vision: Capturing “the World’s Imagination”

“If you think about the leaders who have captured the world’s imagination” in the past two decades, Nohria continued, citing Amazon, Google, and Facebook, most have come from a technology background and have developed managerial skills along the way.

Conversations with company leaders (Nohria cited Amazon) confirm an interest in hiring “people who could have this deep technical expertise along with general management” preparation. HBS faculty members, he noted, might well understand an organization involved in machine learning or other computer and artificial-intelligence disciplines, but are in no position to educate students about writing algorithms. Advances in life sciences and information technology represent “gigantic business opportunities,” he said—playing to the intellectual expertise of SEAS researchers. Doyle pointed to the life sciences, robotics, the “Internet of things,” and cloud computing as fields that “will accelerate in Boston” as ideas emerge from university and other laboratories, and new ventures and existing businesses organize to apply them.

Ultimately, as HBS and SEAS become physical neighbors, Nohria said, Harvard’s planned 36-acre “enterprise research campus” (ERC) will be created “adjacent to both of us,” extending east along Western Avenue toward the Charles River. “My ultimate hope,” he said, is that the next Google or Facebook will be led by a graduate of the new program, joining the two schools and anchored in the ERC—a result he called “the trifecta.”

First things first: why would engineers aspiring to senior management, or management trainees hoping to master enough technical content, interrupt their careers for two years to get a new degree? Business skills “can be learned through experience,” Nohria conceded—­but doing so is time-consuming, and success is hit-or-miss. Formal management education results in graduates who are “much better prepared” and who have “much better odds” of success in leading business enterprises.

Doyle noted that “the dynamic nature of fast-moving sectors in technology these days” means that even engineers with undergraduate training may find their technical knowledge becoming rapidly obsolete in face of discoveries in cell biology, computing, or other fields. They may wish to tune up that side of their expertise as well.

Then there is the challenge of coping in any business organization with highly technical products or services. Nohria (whose undergraduate training was as a chemical engineer) pointed out that it can be much easier for someone with technical credentials to have a credible conversation with engineers or other technologically expert colleagues. In such enterprises, the business leaders “benefit immensely” from their engineering backgrounds or related training.  

Inside “the Head of a Single Founder”: Designing the Degree


Thomas R. Eisenmann, a member of HBS’s large entrepreneurial-management unit, has created M.B.A. learning-by-doing courses—a key part of the new program with SEAS.
Courtesy of Harvard Business School

Although Doyle and Nohria reported sharing common views on these matters from conversations that preceded Doyle’s appointment as SEAS dean two years ago, the template for the S.M./M.B.A. venture arose from their faculties. A case study prepared to facilitate the schools’ research symposium in May 2016, written by Stevenson professor of business administration Thomas R. Eisenmann, noted the vision for a “design and entrepreneurship” master’s degree advanced by Howe, of SEAS, whose research encompasses biorobotics and biomedical robotic devices and procedures. (For a recent, promising commercial application, see the Righthand Robotics website; the firm, which recently completed a venture-funding round, hopes to enable e-commerce companies, which use robots to pick goods from shelves, to employ robots for the final stage in shipping: selecting the picked items for each customer’s package. A “proud papa,” Howe has one of the company’s demonstration videos on his smartphone.)

Eisenmann, a member of HBS’s entrepreneurial management unit, co-created the elective M.B.A. course “Product Management 101” (how to know what to build), and leads a January “startup boot camp” for first-year students. As he explained in a conversation at HBS’s Rock Center for Entrepreneurship, much of his research and teaching focuses on venture formation or product development as “a design process.” He illustrates a two-stage sequence of “problem-finding” (casting a wide net to find out how customers define an unmet want or need, before narrowing the possible specifications) and “solution-finding” (again, generating lots of prototypes, screening them in a structured way, determining what features to include or eliminate, and determining the best business model to produce that solution).

This process—“problem-finding before you generate solutions,” and guarding against isolating a solution too soon, or falling in love with a catchy product before determining demand—embeds all kinds of teachable skills: rigorously human-centered design; rapid prototyping and evaluation; maintaining as lean an organization as possible while these tasks are being carried out, to minimize excessive financial commitments; and so on. And the best way to teach them, he noted, is in learning-by-doing courses (like the two noted above), as opposed to case-method instruction. Some of that learning, obviously, requires the M.B.A. product manager to think about the technical contents and specifications of many kinds of products and services.

After the inception of the product-management course, in 2012, through January-term trips to technology companies in Silicon Valley and New York, Eisenmann met SEAS faculty members who include design in their teaching—among them Howe; Beth Altringer, senior preceptor in innovation and design; Fawwaz Habbal, senior lecturer on applied physics and executive dean for education and research; and McKay professor of computer science Krzysztof Gajos.

Doyle described design courses—integrating the elements of a technical problem to present a solution—as the capstone to an engineering education. And in fact, the depth of teaching related subjects at SEAS may have come as a revelation to HBS professors. A quick glance at the engineering-sciences course list turns up “How to Create Things and Have Them Matter,” “The Innovator’s Practice: Finding, Building, and Leading Good Ideas with Others,” “Design Survivor: Experiential Lessons in Designing for Desirability” (those two by Altringer), “Humanity and Its Challenges: Systems Thinking and Engineering Design,” “Startup R&D,” “Engineering Problem Solving and Design Project,” “Engineering Design Projects,” “Medical Device Design,” and several others. Said Howe, who has taught design courses at Harvard for 25 years, accreditors have required engineering schools to teach design classes, but during the past decade, the realization has set in that design thinking, broadly, is “a key approach in many different areas.” And of course, these are hands-on, doing courses, not simply lectures; “It’s hard to teach design in a lecture or case format,” Howe said. “It’s like teaching clinical medicine.” And so each school finds its pedagogy evolving, in ways that turn out to be complementary.

Sensing the intersection of engineering and management in design—of products and of the organizations that make and market them—“is very powerful when they are grouped together,” he continued—a notion he and Eisenmann discussed long before idea for the joint degree took shape. And then, of course, devising it became a design problem.

Late last December, Doyle and Nohria formed a faculty committee, led by Eisenmann and Howe, to determine how to bring these disciplines together in a teaching program. Early in the new year, they were joined by Altringer and Smith professor of computer science Margo I. Seltzer of SEAS, and Novartis professor of leadership and management Amy C. Edmondson, Carter professor of business administration Sunil Gupta, and M.B.A. Class of 1949 adjunct professor of business administration Alan D. MacCormack of HBS. Their work, Eisenmann said, began on January 16 and, assisted by several administrative-staff members from the schools, proceeded “really fast.”

The faculty members tried to determine how to “combine what we’ve respectively learned” about project-based, hands-on learning, Eisenmann said. Although many M.B.A. candidates with STEM backgrounds “do know enough technology” to develop a technology-based business, or to find a technologically savvy co-founder, a large number do not—and many of the tech experts, of course, lack desired business training. The SEAS members of the committee found the inverse problem. Both problem-finding and solution-finding involve “constantly making tradeoffs,” he said: differentiating a product and its features, refining a business organization from its initially sketchy, chaotic start-up phase toward a more orderly, stable entity with specialized roles.

Accordingly, the curriculum they settled on has significant doses of both management and engineering (consistent with Dean Doyle’s observations on keeping current in rapidly changing fields like machine learning, artificial intelligence, and bioengineering)—and the third, distinctive element that helps define this degree: the iterative design processes from which successful products or services and the businesses that supply them are most likely to emerge. Students will therefore design, built, and launch several products or services during their two-year program, at increasing levels of sophistication, preparing them to found their own ventures or assume senior innovation roles managing and engineering products within larger enterprises.

“We see this as combining entrepreneurship” in new ventures with product management in technology companies like Google or GE, Howe said. “You’re the person in charge of marketing, production—everything about that product.” The joint degree’s mix of training in engineering, management, and design, Eisenmann hopes, will attract applicants with technological backgrounds who seek such roles but would never have considered seeking a management degree.

Combining “graduate-level technical knowledge with business fundamentals,” Howe said, means that early in a product’s life cycle, when there is an intimate connection between its technical features, how to make them, and the resulting cost to market the result to customers, “We’re putting all that into the head of a single founder”—a huge advantage.

To realize that broad educational goal, the planning committee’s faculty members intend to teach in the new program, joined by colleagues like Gajos.

The committee looked seriously at boiling down the year-long HBS required curriculum, Eisenmann said, but determined that almost all the contents were essential for future company leaders—and that the case-method classes were a very effective complement to the hands-on-learning students will encounter in their other courses. “You shouldn’t hurry this,” the committee heard in its interviews and focus groups with students, alumni, and business leaders.

The complete two-year curriculum yields about 80 percent of the academic credits required by the two schools’ separate S.M. and M.B.A. programs, Eisenmann said: about the same proportion required in the joint J.D.-M.B.A. and M.P.A./M.P.P.-M.B.A. programs the Law School and Kennedy School offer with HBS.

Even before the new program begins, its creators can imagine synergies with its parent schools. Given the fraction of current HBS students with prior STEM degrees, perhaps just a few dozen also have the required work experience to qualify for the new master’s degree, Eisenmann estimated. Seeding them into the first-year required M.B.A. courses should enliven and enrich those classroom case discussions. Thus, even as their separate trajectory aims at “educating future leaders of technology ventures,” as he put it, their participation in half of the M.B.A. course of study ought to benefit that much larger cohort.

Over time, if the new program’s courses catch on, and can be staffed to scale up, students pursuing other HBS and SEAS degrees, and those from other Harvard schools, might be able to cross-register. For SEAS, where graduate education aims less at terminal master’s degrees than doctorates, the new program might eventually yield more elective courses for all the school’s students. And as Nohria noted, having their faculty members teach jointly is a powerful bridge to research collaborations, too. (When Howe met to discuss the new program, he had just returned from a robotics conference in Singapore, and was about to return there, joining an HBS faculty group who are visiting Southeast Asia to explore a wide range of manufacturing businesses; at least at this level, the research connections are under construction, too.)

“Finally, the Time Is Ripe”: The Bigger Picture

In broader perspective, Dean Nohria noted, HBS has been on its side of the Charles River, along with Harvard athletics, for a century. With the new engineering facility finally under construction, “Now we have this great opportunity of having SEAS as our academic neighbor.” The joint S.M./M.B.A. degree, he said, is “the first concrete manifestation of what our partnership might be.”

Given converging business and engineering interests in fields ranging from cloud computing to informatics, Dean Doyle said, at the two 2016 research symposiums, “You [couldn’t] tell who’s who” as faculty members from the two schools spoke about their interests. Nohria amplified, observing that there was “more overlap than we or our faculty may have imagined,” even as professors from each school have “deep respect for the independent expertise of each” (for example, the HBS scholars’ reliance on SEAS experts for creating and testing algorithms).

Boston is “one of the most longstanding innovation districts in American,” Nohria continued, from the ideas that animated the American Revolution through mill-based industries like textiles and shoe manufacturing to contemporary fields such as life sciences, robotics, and cybersecurity. Silicon Valley notwithstanding, he said, “I don’t think we should underestimate what Boston has historically been, what it is, and what it can be.

Doyle, who came to Harvard from the engineering school at the University of California, Santa Barbara, said that compared to the spread of people and resources in the west, in Boston they are “very proximal,” making for a “close, collaborative ecosystem” of universities, hospitals, and technology enterprises. Boston has the “highest density of research universities on the planet,” Nohria said, creating powerful opportunities for synergies and for linkages among the clusters of expertise in Kendall Square (near MIT), the Seaport innovation district in Boston, along the circumferential routes 128 and I-495—and, emerging, in Allston.

Student entrepreneurs at work in the iLab may be pointing the way forward, he continued, reaching out to peers at MIT. “Those are early signs that if we can pull these innovation districts in Boston together,” he said, the opportunities to commercialize promising science (from the Medical School and affiliated hospitals, Wyss Institute, and elsewhere) are enormous.

More generally, both deans said, their alumni broadly are excited about the potential SEAS-HBS collaboration, and this initial sign of its potential. Fully 170 years after the predecessor to SEAS sprouted (the Lawrence Scientific School, in 1847), and a century-plus after HBS came into being, Doyle said, “Finally the time is ripe for this” commitment to applied science and commercialization, together.

The Allston Agenda

In that context, the drama attending the construction of the engineering and applied sciences facility ought not overshadow other Allston developments in the offing. Among them, it would be reasonable to expect news on some or all of these fronts when the academic year resumes in late summer and into the fall semester:

  • a gift announcement (or several) for the SEAS building—a billion-dollar project for which gifts have not yet been disclosed, but are being ardently sought as a high priority during The Harvard Campaign (scheduled to end in June 2018) [Updated June 19, 8:10 A.M.: The University today announced a small piece of the larger Allston SEAS puzzle: a gift from Cihang Foundation, affiliated with HNA Group, the Chinese tourism, logistics, and financial-serices conglomerate, to fund the 5,000-sqare-foot “maker space” in the new complex.];
  • more concrete plans for an Allston-based data-sciences institute, perhaps at the site designated for the “Gateway” building near the intersection of North Harvard Street and Western Avenue—a priority identified as part of the data-sciences initiative unveiled last March. (In his January 2017 letter, Nohria noted that HBS, having achieved its $1-billion campaign goal, would seek to raise an additional $300 million, in part to help realize “the vision of One Harvard by supporting work across the University and advancing Harvard’s (and our own) aspirations in Allston.” Data science would clearly fit.);
  • an enhanced arts presence, beginning with the installation of The Grove, a Graduate School of Design student project (at the park at the North Harvard-Western Avenue intersection), perhaps to be followed by an art-innovaton and -making space; and
  • at some point, preliminary plans and initial regulatory proceedings for the enterprise research campus farther east along Western Avenue.

After three decades of land acquisition and planning in Allston, and the seven-year delay in constructing the engineering complex in the wake of the financial crisis at the end of the prior decade, there is more than enough going on to merit paying close attention in the months ahead, as Harvard’s future across the river, and perhaps the wider Boston community’s, begins to take shape.

Read the news announcement here. HBS’s program description appears here.

 


          DATA SCIENCE SOFTWARE DEVELOPER - IRELAND - Overstock.com - Ireland, WV   
The Software Developer in Data Science is a skilled Java developer who also takes on many of the responsibilities of a data scientist, algorithm developer,
From Overstock.com - Fri, 23 Jun 2017 19:34:32 GMT - View all Ireland, WV jobs
          Data Scientist 데이터 과학자 소개   
LinkedIn은 2017 년 최고의 기술 목록을 발표했습니다. 데이터 프리젠테이션이 처음으로 상위 10 위 안에 들었던 지난 해 이후, 통계 분석 및 데이터 마이닝 2개가 선정되었습니다. 이 두 가지 기술 범주는 2001 년 Purdue 대학교 통계학 교수 인 William S. Cleveland가 컴퓨터 과학 및 통계학의 합병을 주장했을 때 작성한 용어 인 데이터 과학의 제목 아래 기술 되어있었습니다. […]
          Data Scientist - Wink - New York, NY   
Hands-on experience with supervised and unsupervised machine learning algorithms for regression, classification, and clustering....
From Wink - Thu, 18 May 2017 06:17:27 GMT - View all New York, NY jobs
          Comment on Definitions of a Data Scientist – the Sexiest Job of the 21st Century by Mike Martino   
Man how things change, Leland. I can remmeber the days when ten year old kids wanted to grow-up to be professional tennis players...
          Comment on Definitions of a Data Scientist – the Sexiest Job of the 21st Century by Kurt Trutner   
Thanks for your reply, Leland - great to hear from you. Your son is on the right track at 10 years old - awesome that he is so into it already. Data Scientists will be in great demand for years perhaps decades to come. Universities are beginning to realign their degree programs to accomodate this phenomenon. Lilien recognizes this and has dedicated staff and resources to meet the growing demand for data-oriented solutions with data scientists who speak all languages in the enterprise and beyond.
          Comment on Definitions of a Data Scientist – the Sexiest Job of the 21st Century by AltaFlux Blog - Data Science: Hot or Not?   
[...] a Data Scientist” talk embedded below from Cloudera data science director Josh Wills, which was hosted by Cloudera partner Lilien LLC recently in Portland, Ore. The key take-away is, you don’t literally have to be a [...]
          Comment on Definitions of a Data Scientist – the Sexiest Job of the 21st Century by Data Science: Hot or Not?   
[...] Scientist” talk embedded below from Cloudera data science director Josh Wills, which was hosted by Cloudera partner Lilien LLC recently in Portland, Ore. The key take-away is, you don’t literally have to be a [...]
          Comment on Definitions of a Data Scientist – the Sexiest Job of the 21st Century by Leland Rolling   
John nice blog piece on one of my favorite job titles. My 10 year old son has told me, over the past several weeks, that he is going to be a data-analyst at Google when he grows up. I couldn't be more proud. Now I must say, I have a client who employs several "Data Scientists" (I am not one of them - company is Stics, Inc. www.stics.com and they do big data analysis with predictive techniques for the gaming and entertainment industries) and these guys are just like you describe - they effectively connect business problems with data-oriented solutions. Now that's sexy!!!! lol
          (Associate) Data Scientist for Deep Learning Center of Excellence - SAP - Sankt Leon-Rot   
Build Machine Learning models to solve real problems working with real data. Software-Design and Development....
Gefunden bei SAP - Fri, 23 Jun 2017 08:50:58 GMT - Zeige alle Sankt Leon-Rot Jobs
          Innovation Fellow - Data Scientist - Manulife Financial - Toronto, ON   
Design and build customized data scrapers. Are you looking for unlimited opportunities to develop and succeed?...
From Manulife Financial - Mon, 10 Apr 2017 22:03:25 GMT - View all Toronto, ON jobs
          Senior Analyst, Predictive Modeling & Data Science - BMO Financial Group - Toronto, ON   
Ch. The Advanced Analytics &amp; Journey Science group partners with internal Personal and Commercial Banking Canada partners, and various lines of business across...
From BMO Financial Group - Sat, 24 Jun 2017 00:46:45 GMT - View all Toronto, ON jobs
          DATA SCIENCE SOFTWARE DEVELOPER - IRELAND - Overstock.com - Ireland, WV   
Java build managers (maven); Strong Java skills (version 8 preferred). Design, develop, and maintain scalable and performant Java webservices....
From Overstock.com - Fri, 23 Jun 2017 19:34:32 GMT - View all Ireland, WV jobs
          Supply Chain Planning Limitations and the Emergence of a New Paradigm   
Every large global company has implemented enterprise planning systems to help keep their supply chains running, and research shows that billions of dollars are spent each year on upgrades and new implementations of these planning systems. So why does nearly every company still do much of their actual “planning” using offline spreadsheets or rely on small groups of data scientists to provide critical insight and business analysis?  Shouldn’t this be addressed by the expensive enterprise […]
          Data Scientist, IS&S Business Operations - Apple - Santa Clara Valley, CA   
As a member of this team, you’ll be providing data-driven insights to help inform the roadmap for many of our top services and commercial platforms, including...
From Apple - Fri, 16 Jun 2017 12:38:01 GMT - View all Santa Clara Valley, CA jobs
          Principal Data Scientist   

          This is how Airbnb is tackling the data science skills gap   

If you want something done right, you have to do it yourself. At least, that’s what Airbnb thinks when it comes to training data scientists.

The post This is how Airbnb is tackling the data science skills gap appeared first on Silicon Republic.


          Data Scientist - Senior Consultant - Clarity Insights - United States   
Candidates must possess excellent SQL Skills working with RDBMS's such as Oracle, DB2, Redshift, Vertica, Greenplum, or Teradata....
From Clarity Insights - Mon, 17 Apr 2017 21:47:31 GMT - View all United States jobs
          Data Scientist - Principal - Clarity Insights - United States   
Prefer candidates with strong SQL Skills working with RDBMS's such as Oracle, DB2, Greenplum, Redshift or Teradata. Do YOU have a passion for working with Data?...
From Clarity Insights - Fri, 24 Mar 2017 10:04:37 GMT - View all United States jobs
          Senior Analyst, Data Science - Prudential - Newark, NJ   
And a passion for generating business impact. Develop and maintain consultative relationships with key business stakeholders....
From Prudential - Wed, 28 Jun 2017 23:45:06 GMT - View all Newark, NJ jobs
          Senior Specialist, Data Science - Prudential - Newark, NJ   
And a passion for generating business impact. Develop and maintain consultative relationships with key business stakeholders....
From Prudential - Tue, 30 May 2017 20:29:44 GMT - View all Newark, NJ jobs
          Specialist, Data Science - Prudential - Newark, NJ   
Identify analytical solutions for business problems. And a passion for generating business impact. Develop and maintain consultative relationships with key...
From Prudential - Tue, 30 May 2017 20:29:44 GMT - View all Newark, NJ jobs
          Offer - MANY REASONS TO LEARN HADOOP AND DATA SCIENCE - INDIA   
MANY REASONS TO LEARN HADOOP AND DATA SCIENCECAREER GUIDANCE & OPTIONS DATE & TIME 1th JULY - SATURDAY @ 11AM ISTHave Questions ? Contact Our Help Line Ms. Samrin 82969 84992 / 9901341343CODEFRUX TECHNOLOGY #13,YLG Building Third Floor, Land Mark:Beside Mithas &Above Mark Shoe Shop ,5th Cross,6th Block 60ft Road (Canara Bank Road) Koramangala, Bengaluru 560095, Karnataka+91-80-41714862 & 63(Landline) http://www.codefruxtechnology.com/big-data-training-bangalore.aspx
          DATA SCIENCE SOFTWARE DEVELOPER - IRELAND - Overstock.com - Ireland, WV   
The Software Developer in Data Science is a skilled Java developer who also takes on many of the responsibilities of a data scientist, algorithm developer,
From Overstock.com - Fri, 23 Jun 2017 19:34:32 GMT - View all Ireland, WV jobs
          Software Developer - Data Science/Machine Learning - Leidos - Hanover, MD   
Java/JEE, JavaScript, Java Expression Language (JEXL), J1BX, Flex, EXT - JS, JSP, .NET, AJAX, SEAM, C, C++, PHP, Ruby / Ruby-on-Rails, SQL, MS SQL Server, MySQL...
From Leidos - Thu, 22 Jun 2017 10:40:48 GMT - View all Hanover, MD jobs
          Data Scientist - SME level - Praxis Engineering - Reston, VA   
No red tape. Ability to identify and/or develop business opportunities. Thorough knowledge of Agency business operations and associated processes....
From Praxis Engineering - Fri, 09 Jun 2017 07:13:27 GMT - View all Reston, VA jobs
          Data Scientist - Praxis Engineering - Reston, VA   
No red tape. Utilizing complex mathematical, statistical or other data-driven problem solving analysis to identify significant intelligence issues or trends in...
From Praxis Engineering - Fri, 09 Jun 2017 07:13:27 GMT - View all Reston, VA jobs
          Data Scientist - Mid - Praxis Engineering - Reston, VA   
No red tape. Conducting mathematical, statistical or other data-driven problem solving analysis to identify business operations or intelligence questions by...
From Praxis Engineering - Fri, 09 Jun 2017 07:13:26 GMT - View all Reston, VA jobs
          Sr Data Scientist - Praxis Engineering - Reston, VA   
No red tape. Ability to identify and/or develop business opportunities. Utilizing complex mathematical, statistical or other data-driven problem solving...
From Praxis Engineering - Fri, 09 Jun 2017 07:12:41 GMT - View all Reston, VA jobs
          DATA SCIENCE SOFTWARE DEVELOPER - IRELAND - Overstock.com - Ireland, WV   
Machine learning, data science, or analytics preferred. The Software Developer in Data Science is a skilled Java developer who also takes on many of the...
From Overstock.com - Fri, 23 Jun 2017 19:34:32 GMT - View all Ireland, WV jobs
          IRCE: How Data Science Drives Personalization, Profit, and Innovation   

Mike Zhang is the VP of Ecommerce, Digital Marketing, and Innovation at Land’s End. It’s not uncommon to misunderstand or overanalyze an ecommerce term, and Zhang provided attendees with a solid intro course on data science, including some useful definitions. Data analytics – Analyzing data using math and statistics. A lot of people think this... Read more »

The post IRCE: How Data Science Drives Personalization, Profit, and Innovation appeared first on Blue Acorn.


          BigData Scientist - Only locals to California   

          Data Scientist - Adeas RRHH - Barcelona   
Multinacional IT líder en su sector y ubicada en Barcelona centro precisa incorporar: DATA SCIENTIST Funciones: Recopilación de las necesidades de informes operativos. Análisis de las peticiones y priorización de las mismas en función de les necesidades de la empresa y de los recursos disponibles. Dirección y supervisión de un data officer a su cargo, tanto en la producción como en la automatización de informes. Análisis de los datos relacionados con los diversos servicios de los...
          Software Engineer, .NET, Web, Data Science - RDM - Remote   
Elicit requirements from internal and external stakeholders. Facilitate information sessions with internal and external stakeholders.... $75,000 - $100,000 a year
From RDM - Wed, 28 Jun 2017 18:23:01 GMT - View all Remote jobs
          Data Scientist - Eversight - Palo Alto, CA   
Translate analytic insights into concrete, actionable recommendations for business or product improvement....
From Eversight - Sat, 03 Jun 2017 06:34:21 GMT - View all Palo Alto, CA jobs
          Data Scientist - Dstillery - New York, NY   
Plus strong professional experience in Machine Learning, Statistics, Operations Research or a related field....
From Dstillery - Wed, 07 Jun 2017 14:25:01 GMT - View all New York, NY jobs
          Principal Software Architect - SocialCode - San Francisco, CA   
You will work alongside fellow engineers, data scientists, and business and product leaders to ensure that our systems efficiently scale to support the...
From SocialCode - Tue, 23 May 2017 06:26:04 GMT - View all San Francisco, CA jobs
          There Is No ‘Safe’ Level Of Pollution — Even Small Amounts Lead To Premature Death   
"The air that we are breathing right now is harmful, it's toxic," said Francesca Dominici, a data scientist at the Harvard T.H. Chan School of Public Health.
          Data Scientist, Service Operations - Tesla Motors - Fremont, CA   
Experience with Java, Tableau, Hive, Spark, MongoDB is a plus. We are looking for a Data Scientist for the most progressive vehicle brand in the world....
From Tesla Motors - Fri, 26 May 2017 02:10:40 GMT - View all Fremont, CA jobs
          Data Architect - Data Scientist - JP Morgan Chase - Columbus, OH   
Build the firm’s business metadata repository in partnership with the Chief Data Office. Adopting industry leading technologies to support best-in-class...
From JPMorgan Chase - Wed, 21 Jun 2017 13:42:24 GMT - View all Columbus, OH jobs
          Data Scientist   
Michael Page - South East London - My client, an e-commerce brand, seek a Data Scientist to join the organisation within a newly formulated position. Client Details My... being at the heart of everything they do. Description As a Data Scientist you will perform analysis on large structure and unstructured...
          Data Scientist   
Churchill Frank - Edinburgh - Job Description A Data Scientist, you will join an established but growing team, high-visibility machine learning team that is developing... problems and provide solution for emerging mission-critical challenges via the utilization of emerging technologies such as:-Data science...
          Data Scientist - Wink - New York, NY   
Hands-on experience with supervised and unsupervised machine learning algorithms for regression, classification, and clustering....
From Wink - Thu, 18 May 2017 06:17:27 GMT - View all New York, NY jobs
          Manager Market Analytics at MTN Nigeria   
MTN is the largest provider of mobile network access and ICT solutions in Nigeria, connecting whole communities with each other and with the rest of the world.In 2001, MTN Nigeria was one of the first telecom operators to receive a GSM licence from the Federal government. Since then, we have led the growth in the voice market and today, we offer an integrated suite of communications products/services, including mobile voice and data, digital and mobile financial services as well as enterprise services to SMEs, public sector and corporate clients.At the heart of our company&rsquo;s operations are a diverse group of committed men and women, who enjoy a work experience and culture that is challenging, dynamic and rewarding, guided by our core values of Leadership, Innovation, Integrity, Relationship and a Can-Do attitude.We were the first Nigerian company to be certified as an Investors In People (IiP) Gold company, which speaks to the depth and impact of our people management practices. It is also a reflection of our commitment to making MTN a Great Place to Work for our employees.With over 60 million customers, MTN is also the largest subsidiary of the MTN Group, a global brand spread across 22 countries in Africa, Asia and the Middle East.Division: Enterprise Business UnitCore purpose of the JobResponsible for the management and coordination of external research work and projects for EBU in relation to giving specialist guidance and advice to the business.Provide analysis and strategic direction on various business issues including, but not limited to pricing, promotion, opportunity sizing and assortment optimization.&nbsp;Job SummarySupport the Shareholder return strategy by developing and implementing processes that are aligned to achieving all elements on the business score card. (I.e. Grow Market Share, Grow ICT &amp; Data Revenue, Increase EBITDA margins, Assure Revenue, CAPEX Returns Management and Net Subscriber Additions).Participate in the review of Business Processes (headcount, process optimisation, etc.), to drive efficiency gains to ensure at least 5% reduction in Divisional budget year-on-year.Develop tools, templates and Interactive data visualizations (Dashboards) to assist in operationalizing analytics insights and to best convey information to stakeholders.Applying advanced analytics and data science methods to generate business insights, predict customer satisfaction and other business performance indicesServe the Division&rsquo;s internal customers and provide solutions to improve the customer experience.Drive business insights from external sources.Network and build solid relationships with internal units and relevant third parties (e.g. strategic investors, technical and finance partners, business consultants etc.) and develop a close working relationship with relevant information sources to provide an integrated service.Maintain effective working relationships with internal and external suppliers.Coordinate, coach and influence external partners and essential support departments across MTNN&rsquo;s business units to deliver a seamless pre-sales and post-sales service experience.Perform research, data collection, economic, statistical and demographic analysis using professionally accepted techniques and methodologies.&nbsp;
Managing all internal research projects and advising / guiding colleagues planning to conduct their own research with regard to the findings of previous research undertaken and on methodologies for prospective research projects.&nbsp;
Managing external projects as required, including scoping the research, defining research methodology.Sourcing the most appropriate external research agencies for specific research projects, using an outsourced research coordinator where appropriate, ensuring these are delivered on time and to the required standard/specification.&nbsp;
Drive EBU&rsquo;s increased trialling, piloting and consultation activity.&nbsp;
Management of the research budget.&nbsp;
Commissioning consumer panels or surveys to develop customer insight which will inform the organisation&rsquo;s decisions with regard to product development and outward-facing service enhancements and the potential operational &amp; financial impact of implementation.&nbsp;


Coordinate and manage survey research projects, within timelines and budgets, including working closely with clients to oversee all operational components of projects (online survey programming, sample management, data processing and coding)Work with clients on questionnaire design and analysis planningDevelop tools, templates and Interactive data visualizations (Dashboards) to assist in operationalizing analytics insights and to best convey information to stakeholders.Design advanced analytics models including predictive modeling and machine learning algorithms to answer the business and operational question at handApplying advanced analytics and data science methods to generate innovative new network measures and insights using available dataOversee B2B industry benchmarking program - Review data to determine trends and provide periodic reports.Designing qualitative and quantitative research plans for EBU in all stages of the Product Life CycleContinuously seek self-professional development to sharpen skills and capabilities in a versatile and evolving digital landscape.&nbsp;Coach and train the team to ensure understanding of the objectives and goals of the department, awareness of set targets/requirements and regularly review their training needs.Review performance of individual team members and complete appraisals in accordance with the employee performance appraisal procedures and time schedules.&nbsp;Job ConditionsNormal MTNN working conditionsMay be required to work extended hoursOpen plan office&nbsp;Note: Multiple applications are not allowed.

Apply at https://ngcareers.com/job/2017-06/manager-market-analytics-at-mtn-nigeria-543/


          Data Scientist - 3M - Maplewood, MN   
This position will work closely with FP&amp;A, Business Group finance teams, Treasury, Tax, Audit and Internal reporting teams to complete high impact projects....
From 3M - Wed, 29 Mar 2017 01:44:52 GMT - View all Maplewood, MN jobs
          Process Data Scientist (Woodbury, MN) - 3M - Woodbury, MN   
Implement relevant and valuable computational algorithms in software that support 3M businesses. Provide strong understanding of internal business segment...
From 3M - Tue, 07 Mar 2017 20:00:10 GMT - View all Woodbury, MN jobs
          WirtschaftsWoche Pro: Recherchewerkzeug mit Newsletterversand   

Von Holger Windfuhr und Frank Westphal

Letzten Sommer haben wir gemeinsam ein kleines, intelligentes Tool entwickelt, das Fachredakteuren bei der Informationsrecherche, Kuration und Newsletterveröffentlichung behilflich sein soll. Diesen Mai nun hatte WiWo.Pro seinen Stapellauf. Ein kurzer Projektsteckbrief und Werkstattbericht unserer Erfahrungen.

Die Idee für das Projekt war noch ein Jahr früher geboren. Holger hatte ein themenspezifisches Recherchetool vor Augen, mit dessen Hilfe man

  • in kürzester Zeit alle wichtigen Quellen eines spezialisierten Themenbereichs verfolgen,
  • direkt eine für die Leser kuratierte und kommentierte Auswahl von Artikeln treffen und
  • mit wenigen Klicks einen hochaktuellen Newsletter über die Entwicklung einer Branche erstellen konnte.
Please meet WiWo.Pro.

 

WiWo.Pro-Newsletter

Die kleine eigene Suchmaschine

Zur individuellen Themenrecherche sollte jeder Redakteur die Möglichkeit bekommen, seine bevorzugten Quellen einzustellen. Um Bias und Filterblase zu umgehen, wollten wir dabei möglichst nah an Originalquellen und Autoritäten herankommen und die Entwicklungen direkt aus Universitäten, Forschungseinrichtungen, Unternehmen, Fachpresse und Expertenmeinungen aufgreifen.

Aus diesem Grund nutzen wir einen fokussierten Web-Crawling-Ansatz, den jeder Redakteur jederzeit mit einem kleinen Stups darin steuern kann, wie wichtig welche Quelle für eine Branche ist. Fürs erste kann unser Tool das große weite Web absuchen wie auch Twitter. Weitere Datenquellen ließen sich jedoch leicht anschließen. So wäre beispielsweise ein E-Mail-Gateway denkbar oder eine Schnittstelle zum Import von Rich-Text-Dokumenten wie PDF, MS Word & Co.

Meine Schlagwortwolke, meine Trefferliste

Dennoch sind viele Artikel relevanter Quellen nicht zwangsläufig auch von hoher Relevanz. Es galt die große Menge eingehender Dokumente noch danach zu filtern, ob ihre Inhalte tatsächlich dem gesuchten Themenfokus entsprechen. Dazu mussten wir den eigentlichen Inhalt einer Webseite im HTML-Dokument erst einmal identifizieren, extrahieren und textlich analysieren.

Unser erster Testpilot Andreas Menn schlug deshalb zur Schwerpunktsetzung ein minimales Interessenprofil vor. Über zwei Arten von Schlagworten kann jeder Redakteur nun sehr genau sein Themenspektrum definieren und somit steuern, welche Artikel für die eigene Trefferliste relevant sind (notwendige Keywords) und welche die Wichtigkeit noch steigern (zusätzliche Keywords).

 

WiWo.Pro-Trefferliste

Recherchieren, kuratieren, publizieren

Das Werkzeug sollte möglichst flexibel einsetzbar sein. Ob zur reinen Recherche, zum Bespielen der sozialen Plattformen oder zur Produktion regelmäßiger Newsletter, wir wollten eine möglichst einfache Basis schaffen und viele verschiedene Workflows unterstützen.

Unsere Benutzerschnittstelle führt daher wie ein Trichter auf unterschiedliche Endprodukte hin, schreibt den Nutzern jedoch keinen starren Arbeitsablauf vor. Drei im Wesentlichen identische Ansichten lassen den Redakteur flexibel zwischen generierten Suchtreffern, eigener Merkliste und verfassten Texten hin und her wechseln.

Eine Newsletter-Vorschau stellt die vom Redakteur kuratierte und kommentierte Auswahl von Links letztlich im späteren Mail-Template dar. Das Mailing kann dann sofort versendet oder für einen festen Zeitpunkt geplant werden. Das Responsive Design der E-Mail war leider kein leichtes. Da MS Outlook kein einfaches Ziel ist, haben wir hier viel Zeit verloren.

Empfehlungsmaschine (noch beta)

Suchtreffer können immer mal falsch positive Ergebnisse enthalten. Zunächst hatten wir vor, die Algorithmen mit einem als-Spam-markieren-Knopf zu trainieren. Da Menschen falsch eingeordnete Artikel jedoch meist sehr zuverlässig erkennen, haben wir uns schließlich für die entgegengesetzte Strategie entschieden und eine einfache Empfehlungsmaschine gebaut.

Zum über-den-Tellerrand-schauen greifen wir jetzt auf einen Random Walk aktueller Webseiten zurück, die mittels eines neuronalen Netzwerks nach Relevanz klassifiziert werden. Die generierten Ergebnisse sind, obwohl wir nicht viel Zeit in die Maschinerie stecken konnten, von erstaunlich guter Qualität.

Da die Artikel allerdings aus einem unstrukturierten Web-Crawl stammen, fehlen uns zu einigen Quellen nur oft wichtige Metadaten. So können wir den Publikationszeitpunkt einiger Dokumente zum Beispiel nur heuristisch ermitteln und somit die für einen Newsletter notwendige Aktualität noch nicht vollständig per Automatik gewährleisten.

Aktivitäten-Stream für die Teamarbeit

Wird ein Fachthema von mehreren Redakteuren betreut, und sei es auch nur zur Urlaubsvertretung, so wollten wir die Zusammenarbeit gerne darin unterstützen, dass die Kommunikation untereinander so weit wie möglich in der App selbst stattfinden kann.

Inspiriert durch Open-Source-Plattformen wie GitHub bieten wir deswegen einen News-Feed jüngster Aktivitäten an. Denkbar wären hier noch themenübergreifende Mitteilungen, um interessante Links direkt an den Themenkanal von Kollegen senden zu können. Oder eine Undo-Funktion für wichtige Aktionen.

 

WiWo.Pro-Themenseite

Maschinelles Lernen lässt das Tool fortlaufend dazulernen

Der Dienst ist gerade erst gestartet. Mittelfristig wünschen wir uns jedoch, dass das Tool mit der Zeit aus den Präferenzen der Redakteure automatisch lernt, passendere Ergebnisse zu liefern.

Überaus nützlich wäre zum Beispiel, die Nutzer darüber zu informieren, welche ihrer Quellen und Schlagworte überdurchschnittlich effektiv genutzt werden, welche eigentlich unterdurchschnittlich. Wir könnten neue Quellen und Schlagworte automatisch vorschlagen, ihre Gewichte je nach Nutzungsszenario tunen und korrigieren, die Empfehlungsfunktion zentraler integrieren... Mit etwas Data Science lässt sich das Produkt weiter und weiter verbessern.

Danksagungen

Für die tolle Zusammenarbeit ein herzliches Dankeschön an das WiWo.Pro-Team: Holger Windfuhr, Léa Steinacker, Andreas Menn, Jan Lepsky.

Holger Windfuhr ist zum Jahresbeginn als Art Director zu Frankfurter Allgemeine Zeitung gewechselt.

Das WirtschaftsWoche-Projekt wurde gefördert durch die Google Digital News Initiative.

Die ersten beiden WiWo.Pro-Newsletter zu Industrie 4.0 und Gesundheit können Sie jetzt auf wiwo.de abonnieren.


          Data Scientist - Singapore-Singapore   
Work type: Permanent Location: Singapore Categories: Others, Research and Analysis Job Description · Part of a multi-disciplinary team that oversees the planning and development of the tourism...
          Chief Data Scientist - Predictive Science - United States   
Develop innovative approaches to linking internal systems with external data. Experience in creating and implementing machine learning algorithms and advanced...
From Predictive Science - Sat, 11 Mar 2017 08:06:17 GMT - View all United States jobs
          Senior Advisor Product Management - Threat Detection, Security - Dell - Reston, VA   
Supports the Business Line (IS Level) of strategic planning. It also requires some knowledge of Data science and machine learning technologies used for...
From Dell - Thu, 25 May 2017 05:26:48 GMT - View all Reston, VA jobs
          Senior Data Scientist, NLP - Demandbase - San Francisco, CA   
Work with customers and internal stakeholders to define hypotheses and models. Proven ability to solve problems using NLP and machine learning in an industry...
From DemandBase - Sat, 22 Apr 2017 02:02:09 GMT - View all San Francisco, CA jobs
          Machine Learning Software Engineer - Demandbase - San Francisco, CA   
Build out new applications and business solutions as part of a combined data scientist / machine learning / engineering team....
From DemandBase - Wed, 05 Apr 2017 01:04:05 GMT - View all San Francisco, CA jobs
          Software Engineer, .NET, Web, Data Science - RDM - Remote   
Elicit requirements from internal and external stakeholders. Facilitate information sessions with internal and external stakeholders.... $75,000 - $100,000 a year
From RDM - Wed, 28 Jun 2017 18:23:01 GMT - View all Remote jobs
          Data Scientist - Eversight - Palo Alto, CA   
Translate analytic insights into concrete, actionable recommendations for business or product improvement....
From Eversight - Sat, 03 Jun 2017 06:34:21 GMT - View all Palo Alto, CA jobs
          Data Scientist - Dstillery - New York, NY   
Plus strong professional experience in Machine Learning, Statistics, Operations Research or a related field....
From Dstillery - Wed, 07 Jun 2017 14:25:01 GMT - View all New York, NY jobs
          Principal Software Architect - SocialCode - San Francisco, CA   
You will work alongside fellow engineers, data scientists, and business and product leaders to ensure that our systems efficiently scale to support the...
From SocialCode - Tue, 23 May 2017 06:26:04 GMT - View all San Francisco, CA jobs
          Director of Business Analytics - (Boston)   
Tracking Code 4000-279 Job Description The Director of Analytics, will be the functional leader of engineering analytics group consists of analysts and data scientists and provide functional support in areas including networks, utilization management, underwriting, sales and marketing, operations and customer service. You will be responsible to lead analytics modeling projects and insights initiatives; to engage with key executives and peers to prioritize and execute work; to provide guidance and mentorship to your team; and to enhance the overall consumption and reliance on analytics and insights at DentaQuest Required Skills Organize analytics modeling efforts, monitor progress and drive success.Mentor analysts and data scientists in data discovery, modeling efforts, presentations, and communications with external sponsors.Develop and define key products for analytics that derive business insights to help guide decision-makers and executives with business decision. Develop presentations to communicate broadly across the analytics groups and business units.Perform advanced analytics and data mining using dental claims with structured and unstructured data platforms to understand attributes of providers, members and clients.Determine the approach - including exploratory data analysis, statistical modeling, descriptive dashboards and technology solutions to solve business problems.Strategic direction and/or development of segmentation, predictive, and propensity models to support and guide business.Facilitate consumption and help operationalize analytics.Plan, guide and develop strategies for developing and executing analytics solutions for the enterprise using social media analytics and external third party data.Define and support the development of an alternative dental provider reimbursement model which integrates global payments, quality incentives, and shared risk in partnership with the CDO, Institute, and DQ Care Group/Advantage.
          Facing adversities with alacrity – the odyssey of an aspiring Data Scientist   
There’re always stories about people who flourish or aspire to flourish while tackling challenges and setbacks during their training or profession. This time I bring to you the adventure of Urszula Czerwinska. Urszula, or Ula as her friends call her, is a Ph.D. student at the Institut Curie, Paris. Throughout her higher education, she’s donned…
          DATA SCIENCE SOFTWARE DEVELOPER - IRELAND - Overstock.com - Ireland, WV   
The Software Developer in Data Science is a skilled Java developer who also takes on many of the responsibilities of a data scientist, algorithm developer,
From Overstock.com - Fri, 23 Jun 2017 19:34:32 GMT - View all Ireland, WV jobs
          NLP Data Scientist - Text Mining/NLP   
CA-Redwood City, Located in Redwood City, we are a high growth Series C Start Up that is backed by leading VC's and Individuals including - Shasta Ventures, Norwest Venture Partners and Geoff Ralston (Y Combinator). Our leadership team are successful entrepreneurs with a track record of building successful companies such as Turn, Jaspersoft, and Altavista. We are currently building out a SaaS cutting edge interact
          Harness the Power of Analytics and Data Science   

Data enables better decision-making and smarter insights to drive operational excellence. Are you fully harnessing the power of analytics and data science for your organization?


          Jamie Yachera Shares 8 Simple Steps to Bring Data Science to Your Organization   

          Data Scientist - Senior Consultant - Clarity Insights - United States   
Candidates must possess excellent SQL Skills working with RDBMS's such as Oracle, DB2, Redshift, Vertica, Greenplum, or Teradata....
From Clarity Insights - Mon, 17 Apr 2017 21:47:31 GMT - View all United States jobs
          Data Scientist - Principal - Clarity Insights - United States   
Prefer candidates with strong SQL Skills working with RDBMS's such as Oracle, DB2, Greenplum, Redshift or Teradata. Do YOU have a passion for working with Data?...
From Clarity Insights - Fri, 24 Mar 2017 10:04:37 GMT - View all United States jobs