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
          EuSpRIG 2017: The World’s Leading Spreadsheet Risk Management Conference   
06 Jul 2017 - 06 Jul 2017
The European Spreadsheet Risk Interest Group Conference (EuSpRiG 2017 in association with Imperial Data Science Institute) will be held at on Thursday July 6th 2017. What Are The Benefits of Attending the EuSpRIG 2017 Conference? EuSpRIG is the only accessible source of relevant...
          Senior Data Architect - ASRC Federal - Moorestown, NJ   
Senior Data Architect. ASRC Federal Mission Solutions (AFMS) is seeking a Senior Data Scientist/ Architect to join its professional engineering team developing...
From ASRC Federal - Sat, 03 Jun 2017 01:36:31 GMT - View all Moorestown, NJ jobs
          Developing and Evaluating Digital Interventions to Promote Behavior Change in Health and Health Care: Recommendations Resulting From an International Workshop   
Devices and programs using digital technology to foster or support behavior change (digital interventions) are increasingly ubiquitous, being adopted for use in patient diagnosis and treatment, self-management of chronic diseases, and in primary prevention. They have been heralded as potentially revolutionizing the ways in which individuals can monitor and improve their health behaviors and health care by improving outcomes, reducing costs, and improving the patient experience. However, we are still mainly in the age of promise rather than delivery. Developing and evaluating these digital interventions presents new challenges and new versions of old challenges that require use of improved and perhaps entirely new methods for research and evaluation. This article discusses these challenges and provides recommendations aimed at accelerating the rate of progress in digital behavior intervention research and practice. Areas addressed include intervention development in a rapidly changing technological landscape, promoting user engagement, advancing the underpinning science and theory, evaluating effectiveness and cost-effectiveness, and addressing issues of regulatory, ethical, and information governance. This article is the result of a two-day international workshop on how to create, evaluate, and implement effective digital interventions in relation to health behaviors. It was held in London in September 2015 and was supported by the United Kingdom’s Medical Research Council (MRC), the National Institute for Health Research (NIHR), the Methodology Research Programme (PI Susan Michie), and the Robert Wood Johnson Foundation of the United States (PI Kevin Patrick). Important recommendations to manage the rapid pace of change include considering using emerging techniques from data science, machine learning, and Bayesian approaches and learning from other disciplines including computer science and engineering. With regard to assessing and promoting engagement, a key conclusion was that sustained engagement is not always required and that for each intervention it is useful to establish what constitutes “effective engagement,” that is, sufficient engagement to achieve the intended outcomes. The potential of digital interventions for testing and advancing theories of behavior change by generating ecologically valid, real-time objective data was recognized. Evaluations should include all phases of the development cycle, designed for generalizability, and consider new experimental designs to make the best use of rich data streams. Future health economics analyses need to recognize and model the complex and potentially far-reaching costs and benefits of digital interventions. In terms of governance, developers of digital behavior interventions should comply with existing regulatory frameworks, but with consideration for emerging standards around information governance, ethics, and interoperability.

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          Principal Data Scientist - Microsoft - Redmond, WA   
We are a horizontal team and need each DS to lead and drive their projects. The Microsoft Support Engineering Group (MSEG) is part of Universal Store Team (UST)...
From Microsoft - Sat, 13 May 2017 05:34:59 GMT - View all Redmond, WA jobs
          Data Scientist   

          Dataiku Will Participate at CIOsynergy New York on June 25, 2015   

Dataiku showcases its groundbreaking software, Data Science Studio (DSS), the predictive services development platform for data professionals at CIOsynergy New York

(PRWeb June 24, 2015)

Read the full story at http://www.prweb.com/releases/2015/06/prweb12806954.htm


          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
          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 Science Platform Developer - Iodine Software - Austin, TX   
2+ years of professional experience writing Java code. Design and implement highly performing and highly scalable Java applications....
From Iodine Software - Fri, 30 Jun 2017 00:28:17 GMT - View all Austin, TX jobs
          Ian Ozsvald: Kaggle’s Mercedes-Benz Greener Manufacturing   

Kaggle are running a regression machine learning competition with Mercedes-Benz right now, it closes in a week and runs for about 6 weeks overall. I’ve managed to squeeze in 5 days to have a play (I managed about 10 days on the previous Quora competition). My goal this time was to focus on new tools that make it faster to get to ‘pretty good’ ML solutions. Specifically I wanted to play with:

Most of the 5 days were spent either learning the above tools or making some suggestions for YellowBrick, I didn’t get as far as creative feature engineering. Currently I’m in the top 50th percentile on the leaderboard using raw features, some dimensionality reduction and various estimators.

TPOT is rather interesting – it uses a genetic algorithm approach to evolve the hyperparameters of one or more (Stacked) estimators. One interesting outcome is that TPOT was presenting good models that I’d never have used – e.g. an AdaBoostRegressor & LassoLars or GradientBoostingRegressor & ElasticNet.

TPOT works with all sklearn-compatible classifiers including XGBoost (examples) but recently there’s been a bug with n_jobs and multiple processes. Due to this the current version had XGBoost disabled, it looks now like that bug has been fixed. As a result I didn’t get to use XGBoost inside TPOT, I did play with it separately but the stacked estimators from TPOT were superior. Getting up and running with TPOT took all of 30 minutes, after that I’d leave it to run overnight on my laptop. It definitely wants lots of CPU time. It is worth noting that auto-sklearn has a similar n_jobs bug and the issue is known in sklearn.

It does occur to me that almost all of the models developed by TPOT are subsequently discarded (you can get a list of configurations and scores). There’s almost certainly value to be had in building averaged models of combinations of these, I didn’t get to experiment with this.

Having developed several different stacks of estimators my final combination involved averaging these predictions with the trustable-model provided by another Kaggler. The mean of these three pushed me up to 0.55508. My only feature engineering involved various FeatureUnions with the FunctionTransformer based on dimensionality reduction.

YellowBrick was presented at our PyDataLondon 2017 conference (write-up) this year by Rebecca (we also did a book signing). I was able to make some suggestions for improvements on the RegressionPlot and PredictionError along with sharing some notes on visualising tree-based feature importances (along with noting a demo bug in sklearn). Having more visualisation tools can only help, I hope to develop some intuition about model failures from these sorts of diagrams.

Here’s a ResidualPlot with my added inset prediction errors distribution, I think that this should be useful when comparing plots between classifiers to see how they’re failing:

 

 

 

 

 

 

 


Ian applies Data Science as an AI/Data Scientist for companies in ModelInsight, sign-up for Data Science tutorials in London. Historically Ian ran Mor Consulting. He also founded the image and text annotation API Annotate.io, co-authored SocialTies, programs Python, authored The Screencasting Handbook, lives in London and is a consumer of fine coffees.
          USI MD - Eminence - Assistant Manager-Data Scientist-Hyderabad - Deloitte - Hyderabad, Telangana   
Senior Analyst: Eminence CoE- Data Sciences Function: U.S. India Enabling Areas Service Area: Market Development Service Line: Eminence CoE-Data Sciences
From Deloitte - Thu, 08 Jun 2017 15:29:26 GMT - View all Hyderabad, Telangana 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
          Data Scientist - integrate.ai - Toronto, ON   
Founded by Steve Irvine, former Facebook executive, we are proud to be based in Toronto, Canada at the center of an exciting AI ecosystem....
From Integrate.ai - Sat, 10 Jun 2017 01:09:24 GMT - View all Toronto, ON jobs
          Data Scientist – Data Engineer   
You are a data scientist with a strong background in machine learning and software technologies? …
          Data Scientist Data Lab   
Responsibilities You work at the leading edge of the energy revolution for our business customers …
          Data Scientist Data Analyst   
Düsseldorf Feste Anstellung Vollzeit Introduction Want to help change the world of recruitment …
          DATA SCIENTIST DATA ENGINEER FÜR BIG DATA   
Wachse an technischen Herausforderungen Gehe Deinen nächsten Karriereschritt als DATA SCIENTIST / …
          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
          Data Scientist   

          IT Management Trainee - Cargill - Schiphol   
IT Management Trainee at Cargill. IT Management Trainee opportunity candidates will have an interest in different opportunities like Data Science, Business...
Van Cargill - Thu, 08 Jun 2017 16:44:00 GMT - Toon alle vacatures in Schiphol
          Marketing vs. science: Applying the same process to a different set of questions   

At Gettysburg, a liberal arts degree can translate to a variety of careers, regardless of what you decide to major in.

Laura GambinoExample: Laura Gambino ’14. When Gambino graduated from Gettysburg with a degree in biology, she was originally interested in pursuing ecological research, inspired in part by a vertebrate zoology class she took junior year and a summer field experience at Hawk Mountain Sanctuary. She decided to pursue a master’s degree in applied ecology from Stony Brook University, which she completed last year. Then, she switched gears. “I was looking for a career where I could continue to grow my [data science] skills,” she said.

After graduating from Stony Brook, Gambino completed a market research fellowship at AOL. Now, Gambino has a position at Omnicom Media Group, a marketing and advertising agency, as Senior Analyst on their Primary Research and Insights team in New York City. Gambino is using her data science skills to collect and analyze data to inform marketing strategies and advertising.

“I’ve really been enjoying it,” she said. “It’s a new and different challenge.”

Gambino discovered that marketing flexes muscles similar to the ones she used for scientific research. She completed several science projects over the years. In high school, she conducted research on protecting wild and captive clam populations with Dr. Bassem Allam at Stony Brook, where she’d eventually attend graduate school. The following summer, Gambino continued working in Allam’s lab, studying the immune response to disease in oysters. That experience led to Gambino co-authoring a published paper. In graduate school, Gambino’s research centered on creating data models to understand hummingbird migratory patterns, working with Dr. Laura Graham and her advisor, Dr. Catherine Graham. She presented her findings at the North American Ornithological Conference in Washington, D.C.

“My current job is using statistics to understand consumers instead of hummingbirds, but it’s the same thing when you get down to it,” she said. “You try to figure out why people buy certain items and services or how to make a good ad that captures someone’s attention. I take data points from surveys [and other data] and dig into statistics to understand those factors.”

In addition to her projects at Stony Brook, Gambino was involved in curating the vertebrate collection at Gettysburg. Working closely with Biology Prof. Ryan Kerney, Gambino and another student, Sara Ketelsen ’14, curated, labeled, and repaired specimens.   “[Prof. Kerney] was great because he got me to think outside of the box and solve problems you don’t see every day.” In biostatistics with Biology Prof. Kazuo Hiraizumi, Gambino said she found the confidence to pursue statistics in her graduate work and career.

Even though she’d never expected it to, each of these experiences have helped her in her career in market research.

“You can’t ask hummingbirds questions,” she joked. “[In marketing], people don’t know the subconscious reasons why they did something, so it’s about uncovering the motivations for why people do things. You use that same scientific process, applied to a different set of questions and problems.”


          Director of Product Analytics - Data Science   

          Chief Compliance Officer - TrueAccord - San Francisco Bay Area, CA   
We deploy technology, machine learning, and data science to innovate and optimize how debt is collected. The Chief Compliance Officer (CCO) is responsible for...
From Indeed - Sat, 17 Jun 2017 02:01:35 GMT - View all San Francisco Bay Area, CA jobs
          Customer Support Specialist - TrueAccord - San Francisco Bay Area, CA   
Our Customer Support Team plays a key role in the success of the business; We deploy technology, machine learning, and data science to innovate and optimize how...
From Indeed - Mon, 05 Jun 2017 00:31:58 GMT - View all San Francisco Bay Area, CA jobs
          Data Scientist (Artificial Intelligence & Deep Learning) - Microsoft - Redmond, WA   
We help drive actionable business intelligence through advanced statistical modeling and business analytics across Microsoft....
From Microsoft - Sat, 13 May 2017 05:34:57 GMT - View all Redmond, WA jobs
          Sr. Manager, Advanced Analytics and Data Science - QuintilesIMS - Collegeville, PA   
Develop digital strategies that can be applied across multiple business lines and channels. Initiate digital strategies from identification of opportunity...
From QuintilesIMS - Wed, 19 Apr 2017 06:49:36 GMT - View all Collegeville, PA jobs
          Sr Hadoop Data Scientist   

          Data Scientist - integrate.ai - Toronto, ON   
Founded by Steve Irvine, former Facebook executive, we are proud to be based in Toronto, Canada at the center of an exciting AI ecosystem....
From Integrate.ai - Sat, 10 Jun 2017 01:09:24 GMT - View all Toronto, ON jobs
          Senior Cloud Engineer/Big Data Architect / Data Science - Corporate Technology - New York, NY   
Perform data analysis with business, understanding business process and structuring both relational and distributed data sets....
From Corporate Technology - Wed, 14 Jun 2017 16:40:06 GMT - View all New York, NY jobs
          Business matters   

Business matters

Two other postgraduate courses — MSc in Marketing Management and Digital, and MSc in Data Sciences & Business Analytics — will be launched in …

Link to Full Article

[Link to Full Article]
          Data Science Intern/M.Sc. Thesis   

Data Science Intern/M.Sc. Thesis

Data Science Intern/M.Sc. Thesis. ‘Five years from now we’ll be active in areas we haven’t yet dreamed of’. Harold Goddijn, CEO TomTom. [Link to Full Article]

          Industry Spotlight: How data science improves ALM   

Industry Spotlight: How data science improves ALM

If you’re an agile team, you may still be planning, developing, testing and deploying by instinct. [Link to Full Article]

          Associate Data Science Anlyst/Engineer, Employment   

Associate Data Science Anlyst/Engineer, Employment

HERC Jobs: Healthcare, , New York/NY/USA, Associate Data Science Anlyst/Engineer at NYU Langone Medical Center. [Link to Full Article]

          Your Holiday Impulses are the Stuff of On-Demand Logistical Nightmares   

Your Holiday Impulses are the Stuff of On-Demand Logistical Nightmares

“Everything becomes super, super chaotic,” says Jeremy Stanley, vice president of data science at grocery delivery service Instacart. [Link to Full Article]

          Data Science Education Webinar   

Data Science Education Webinar

Eventbrite – The Concord Consortium presents Data Science Education Webinar: Tim Erickson – Tuesday, July 25, 2017 – Find event and ticket …

Link to Full Article

[Link to Full Article]
          Chief Compliance Officer - TrueAccord - San Francisco Bay Area, CA   
We deploy technology, machine learning, and data science to innovate and optimize how debt is collected. The Chief Compliance Officer (CCO) is responsible for...
From Indeed - Sat, 17 Jun 2017 02:01:35 GMT - View all San Francisco Bay Area, CA jobs
          Customer Support Specialist - TrueAccord - San Francisco Bay Area, CA   
Our Customer Support Team plays a key role in the success of the business; We deploy technology, machine learning, and data science to innovate and optimize how...
From Indeed - Mon, 05 Jun 2017 00:31:58 GMT - View all San Francisco Bay Area, CA jobs
          Data Scientist (Artificial Intelligence & Deep Learning) - Microsoft - Redmond, WA   
We help drive actionable business intelligence through advanced statistical modeling and business analytics across Microsoft....
From Microsoft - Sat, 13 May 2017 05:34:57 GMT - View all Redmond, WA jobs
          Sr. Manager, Advanced Analytics and Data Science - QuintilesIMS - Collegeville, PA   
Develop digital strategies that can be applied across multiple business lines and channels. Initiate digital strategies from identification of opportunity...
From QuintilesIMS - Wed, 19 Apr 2017 06:49:36 GMT - View all Collegeville, PA jobs
          Perform Cloud Data Science with Azure Machine Learning 20774 (70-774)   
Kom godt i gang med Azure Machine Learning. Du kan installere din model i produktionen som en webtjeneste, der kan kaldes fra overalt, og som kan bruge en hvilken som helst datakilde.<br />Skab effektive cloudbaserede programmer til maskinel indlæring. En fuldt administreret cloudtjeneste, der gør det nemt for dig at bygge, implementere og dele løsninger inden for forudsigende analyse.
          Senior Analyst, Predictive Modeling & Data Science - BMO Financial Group - Toronto, ON   
Lev. 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
          How Hedge Funds Can Trade On Heaven-Sent Data   

How Hedge Funds Can Trade On Heaven-Sent DataIBT Media's data science and finance event looked at alternative data sets and natural language processing.



          #6: Introduction to Machine Learning with Python: A Guide for Data Scientists   
Introduction to Machine Learning with Python
Introduction to Machine Learning with Python: A Guide for Data Scientists
Andreas C. Müller , Sarah Guido

Buy new: CDN$ 65.18 CDN$ 46.46
27 used & new from CDN$ 38.87

(Visit the Bestsellers in Languages & Tools list for authoritative information on this product's current rank.)
          Computer Futures: Data scientist   
£45000 - £50000 per annum + competitive: Computer Futures: Role: Senior Data Scientist Location: South Yorkshire Salary: £40k £50k A leading software house In Sheffield, specialising in analytics, is looking for a commercially experienced Senior Data Analyst. The right candidate will not only be a technical Rotherham District
          Computer Futures: Data scientist   
£55000 - £560000 per annum + competitive: Computer Futures: Data Scientist South Yorkshire The company are market leaders in the Telematics space and have recently secured a multimillion investment deal. The way in which they are collating and interpreting data is truly cuttingedge. This crucial role is designed Rotherham District
          Computer Futures: Data scientist   
£45000 - £50000 per annum + competitive: Computer Futures: Role: Senior Data Scientist Location: South Yorkshire Salary: £40k £50k A leading software house In Sheffield, specialising in analytics, is looking for a commercially experienced Senior Data Analyst. The right candidate will not only be a technical Rotherham District
          Gregg Gordon: Why Talent Is Still Your Greatest Asset   
I spoke to Gregg Gordon, the Vice President of the Data Science Practice Group at Kronos Incorporated, about why talent is still a company's best asset, how to compete in the age of disruption, how to build a highly engaged workforce, what makes a company a best place to work and his best advice.
          Sentiment Analysis for NLP and Data Science Practitioners   

: : : : Explore sentiment analysis and learn why it is so important to the data scientist. Know the key benefits including assessing the pulse of public opinion and gaining insight on the objectivity of the text at hand. Learn how to model sentiment analysis as a classification problem. You will generate features for sentiment […]

The post Sentiment Analysis for NLP and Data Science Practitioners appeared first on Get All Dating Courses.


          Lead Data Scientist - Financial Services - London   
Twenty financial services are currently working with a leading bank in london who are looking for a Lead Data Scientist. In this position you'll be working with deep statistical analysis and unsupervised machine learning methods. You'll be working day-to-day with internal and external stakeholders. Role Responsbilities; Apply st..
          Lead Data Scientist   
The Team Our Clients Data team is unique, and is the driving force behind the work that we do. Combining exclusive data partnerships and skills across a variety of tools and platforms, the team is a place where brilliant minds come together to make bold, award-winning ideas come to life. They use data-driven insights to guide ..
          Principal Data Scientist - Prescriptive Analytics - Verizon - Basking Ridge, NJ   
Responsibilities HR Data & Analytics team seeks an expert in data analysis (including data structuring, mining, modeling, and visualization) with strong
From Verizon - Thu, 29 Jun 2017 10:58:13 GMT - View all Basking Ridge, NJ jobs
          Principal Data Scientist - Prescriptive Analytics - Verizon - Basking Ridge, NJ   
Responsibilities HR Data & Analytics team seeks an expert in data analysis (including data structuring, mining, modeling, and visualization) with strong
From Verizon - Thu, 29 Jun 2017 10:58:13 GMT - View all Basking Ridge, NJ jobs
          Security Analytics - Visualization - Big Data Workshop Black Hat 2017   


VISUAL ANALYTICS – DELIVERING ACTIONABLE SECURITY INTELLIGENCE


BlackHat 2017 - Las Vegas


Big Data is Getting Bigger - Visualization is Getting Easier - Learn How!
Dates: July 22-23 & 24-25
Location: Las Vegas, USA

SIGN UP NOW


OVERVIEW

Big data and security intelligence are the two very hot topics in security. We are collecting more and more information from both the infrastructure, but increasingly also directly from our applications. This vast amount of data gets increasingly hard to understand. Terms like map reduce, hadoop, spark, elasticsearch, data science, etc. are part of many discussions. But what are those technologies and techniques? And what do they have to do with security analytics/intelligence? We will see that none of these technologies are sufficient in our quest to defend our networks and information. Data visualization is the only approach that scales to the ever changing threat landscape and infrastructure configurations. Using big data visualization techniques, you uncover hidden patterns of data, identify emerging vulnerabilities and attacks, and respond decisively with countermeasures that are far more likely to succeed than conventional methods. Something that is increasingly referred to as hunting. The attendees will learn about log analysis, big data, information visualization, data sources for IT security, and learn how to generate visual representations of IT data. The training is filled with hands-on exercises utilizing the DAVIX live CD.



What's New?

The workshop is being heavily updated over the next months. Check back here to see a list of new topics:

  • Security Analytics - UEBA, Scoring, Anomaly Detection
  • Hunting
  • Data Science
  • 10 Challenges with SIEM and Big Data for Security
  • Big Data - How do you navigate the ever growing landscape of Hadoop and big data technologies? Tajo, Apache Arrow, Apache Drill, Druid, PrestoDB from Facebook, Kudu, etc. We'll sort you out.


SYLLABUS

The syllabus is not 100% fixed yet. Stay tuned for some updates.

Day 1:

Log Analysis

  • Data Sources Discussion - including PCAP, Firewall, IDS, Threat Intelligence (TI) Feeds, CloudTrail, CloudWatch, etc.
  • Data Analysis and Visualization Linux (DAVIX)
  • Log Data Processing (CSVKit, ...)

SIEM, and Big Data

  • Log Management and SIEM Overview
  • LogStash (Elastic Stack) and Moloch
  • Big Data - Hadoop, Spark, ElasticSearch, Hive, Impala

Data Science

  • Introduction to Data Science
  • Introduction to Data Science with R
  • Hunting

Day 2:

Visualization

  • Information Visualization History
  • Visualization Theory
  • Data Visualization Tools and Libraries (e.g., Mondrian, Gephi, AfterGlow, Graphiti)
  • Visualization Resources

Security Visualization Use-Cases

  • Perimeter Threat
  • Network Flow Analysis
  • Firewall Visualization
  • IDS/IPS Signature Analysis
  • Vulnerability Scans
  • Proxy Data
  • User Activity
  • Host-based Data Analysis



Sample of Tools and Techniques

Tools to gather data:

  • argus, nfdump, nfsen, and silk to process traffic flows
  • snort, bro, suricata as intrusion detection systems
  • p0f, npad for passive network analysis
  • iptables, pf, pix as examples of firewalls
  • OSSEC, collectd, graphite for host data

We are also using a number of visualization tools to analyze example data in the labs:

  • graphviz, tulip, cytoscape, and gephi
  • afterglow
  • treemap
  • mondrian, ggobi

Under the log management section, we are going to discuss:

  • rsyslog, syslog-ng, nxlog
  • logstash as part of the elastic stack, moloch
  • commercial log management and SIEM solutions

The section on big data is covering the following:

  • hadoop (HDFS, map-reduce, HBase, Hive, Impala, Zookeper)
  • search engines like: elastic search, Solr
  • key-value stores like MongoDB, Cassandra, etc.
  • OLAP and OLTP
  • The Spark ecosystem


SIGN UP

TRAINER

Raffael Marty is vice president of security analytics at Sophos, and is responsible for all strategic efforts around security analytics for the company and its products. He is based in San Francisco, Calif. Marty is one of the world's most recognized authorities on security data analytics, big data and visualization. His team at Sophos spans these domains to help build products that provide Internet security solutions to Sophos' vast global customer base.

Previously, Marty launched pixlcloud, a visual analytics platform, and Loggly, a cloud-based log management solution. With a track record at companies including IBM Research, ArcSight, and Splunk, he is thoroughly familiar with established practices and emerging trends in the big data and security analytics space. Marty is the author of Applied Security Visualization and a frequent speaker at academic and industry events. Zen meditation has become an important part of Raffy's life, sometimes leading to insights not in data but in life.


          Senior Data Scientist - Microsoft - Redmond, WA   
Office 365 is the locomotive engine that uplifts enterprise &amp; consumer monetization with millions of active users in our datacenters around the globe....
From Microsoft - Tue, 06 Jun 2017 13:26:20 GMT - View all Redmond, WA 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
          Principal Data Scientist - Microsoft - Redmond, WA   
We are a horizontal team and need each DS to lead and drive their projects. The Microsoft Support Engineering Group (MSEG) is part of Universal Store Team (UST)...
From Microsoft - Sat, 13 May 2017 05:34:59 GMT - View all Redmond, WA jobs
          APAC Senior Recruitment Executive - Essence - Singapore   
Clients include Google, FrieslandCampina, Tesco Mobile and the Financial Times. Essence is a global digital agency that blends data science, objective media and...
From Essence - Fri, 30 Jun 2017 06:26:22 GMT - View all Singapore jobs
          Software Development Engineer   
CO-Denver, Software Development Engineer Job Description Do you want to build the premium shopping experiences for millions of 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 ha
          #8: Introduction to Machine Learning with Python: A Guide for Data Scientists   
Introduction to Machine Learning with Python
Introduction to Machine Learning with Python: A Guide for Data Scientists
Andreas C. Müller , Sarah Guido

Buy new: CDN$ 65.18 CDN$ 46.46
27 used & new from CDN$ 38.87

(Visit the Bestsellers in Languages & Tools list for authoritative information on this product's current rank.)
          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
          Director, Data Scientist - KPMG - Santa Clara, CA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Santa Clara, CA jobs
          Director, Data Scientist - KPMG - Atlanta, GA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Tue, 16 May 2017 08:29:26 GMT - View all Atlanta, GA jobs
          Data Scientist - IBM - Austin, TX   
Opportunities to implement machine learning into support business processes. Business process optimization....
From IBM - Tue, 06 Jun 2017 21:03:26 GMT - View all Austin, TX jobs
          Director, Data Scientist - KPMG - Irvine, CA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:26 GMT - View all Irvine, CA jobs
          Director, Data Scientist - KPMG - Seattle, WA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Seattle, WA 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
          The Data Science Design Manual   
Springer | 2017 | ISBN 978-3-319-55443-3 | 456 pages | true PDF | 20.8 M **** 本内容被作者隐藏 ****
          Data Science Platform Developer - Iodine Software - Austin, TX   
Team player DNA with a desire to solve for the interests of our internal clients and of our business. Passion for exploring, applying and following the...
From Iodine Software - Fri, 30 Jun 2017 00:28:17 GMT - View all Austin, TX jobs
          Senior Analyst, Predictive Modeling & Data Science - BMO Financial Group - Toronto, ON   
Lev. 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 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
          UMBC Data Science Graduate Programs Start in Fall 2017   

 

UMBC Data Science Graduate Programs

UMBC’s Data Science Master’s program prepares students from a wide range of disciplinary backgrounds for careers in data science. In the core courses, students will gain a thorough understanding of data science through classes that highlight machine learning, data analysis, data management, ethical and legal considerations, and more.

Students will develop an in-depth understanding of the basic computing principles behind data science, to include, but not limited to, data ingestion, curation and cleaning and the 4Vs of data science: Volume, Variety, Velocity, Veracity, as well as the implicit 5th V — Value. Through applying principles of data science to the analysis of problems within specific domains expressed through the program pathways, students will gain practical, real world industry relevant experience.

The MPS in Data Science is an industry-recognized credential and the program prepares students with the technical and management skills that they need to succeed in the workplace.

Why Data Science?

  • Organizations have a growing need for employees who are experts in the management and interpretation of big data;
  • Our classes are taught by industry experts who combine their professional experience with theory to provide a rigorous classroom experience; and
  • Our small classes are taught with a mix of in-person and online instruction, providing students the best of an in-classroom experience while allowing for work-school life balance.

Why UMBC?

The Data Science graduate program at UMBC is designed to respond to the growing regional and national demand for professionals with data science knowledge, skills, and abilities. Bringing together faculty from a wide range of fields who have a deep understanding of the real-world applications of data analytics, UMBC’s Data Science program prepares students for the workplace through hands-on experience, rigorous academics, and access to a robust network of knowledgeable industry professionals. UMBC’s graduate programs in Data Science offers a wide variety of benefits:

  • Exceptional faculty. The Data Science curriculum brings together UMBC’s Departments of Computer Science & Electrical Engineering, Information Systems, Mathematics and Statistics, and several departments from the social sciences to provide students with a rigorous and thorough base of knowledge. Faculty have particular strengths in addressing critical social questions through the application of data science.
  • Rigorous research. UMBC is classified by the Carnegie Foundation as a Research University (High Research Activity).
  • National recognition. For six years running (2009-2014), UMBC was ranked #1 in the U.S. News and World Report’s list of “national up-and-coming” universities
  • Convenient classes. Classes are conveniently offered in the evening on UMBC’s main campus, located just ten minutes from BWI Airport, with easy access to I-95 and the 695 Beltway

For more information and to apply online, see the Data Science MPS site.

The post UMBC Data Science Graduate Programs Start in Fall 2017 appeared first on Department of Computer Science and Electrical Engineering.


          USI MD - Eminence - Assistant Manager-Data Scientist-Hyderabad - Deloitte - Hyderabad, Telangana   
Senior Analyst: Eminence CoE- Data Sciences Function: U.S. India Enabling Areas Service Area: Market Development Service Line: Eminence CoE-Data Sciences...
From Deloitte - Thu, 08 Jun 2017 15:29:26 GMT - View all Hyderabad, Telangana jobs
          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 - integrate.ai - Toronto, ON   
Founded by Steve Irvine, former Facebook executive, we are proud to be based in Toronto, Canada at the center of an exciting AI ecosystem....
From Integrate.ai - Sat, 10 Jun 2017 01:09:24 GMT - View all Toronto, ON jobs
          Software Sales Hunter, Data Science Solutions - EXPERIAN - Texas   
SAS, FICO, Fiserv, Oracle, SAP, IBM, Amdocs, Pegasystems, Sungard, TIBCO, etc…) is preferred. Job Description - Software Sales Hunter, Data Science Solutions ...
From Experian - Sat, 22 Apr 2017 11:04:53 GMT - View all Texas jobs
          Senior Data Architect - ASRC Federal - Moorestown, NJ   
Senior Data Architect. ASRC Federal Mission Solutions (AFMS) is seeking a Senior Data Scientist/ Architect to join its professional engineering team developing...
From ASRC Federal - Sat, 03 Jun 2017 01:36:31 GMT - View all Moorestown, NJ jobs
          Data Scientist - Drop - Toronto, ON   
Through our mobile app, users supercharge their debit and credit cards to automatically earn points on their every day spending at places such as Starbucks, Tim...
From Drop - Thu, 01 Jun 2017 02:38:43 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
          Comment on “Alibaba economy” to generate about 30% of all jobs in 2035 by Alibaba: Building a retail ecosystem on data science, machine learning, and cloud | Fleekist.com   
[…] Alibaba’s record-breaking IPO in 2014 coincided with the launch of Alibaba Cloud. Alibaba looked to Amazon for inspiration there, however its cloud strategy is diversified, reflecting its overall strategy. Alibaba works as an ecosystem of retailers, consisting what it calls an economy. […]
          Comment on “Alibaba economy” to generate about 30% of all jobs in 2035 by Alibaba: Building a retail ecosystem on data science, machine learning, and cloud - InfoSecHotSpot   
[…] Alibaba’s record-breaking IPO in 2014 coincided with the launch of Alibaba Cloud. Alibaba looked to Amazon for inspiration there, however its cloud strategy is diversified, reflecting its overall strategy. Alibaba works as an ecosystem of retailers, consisting what it calls an economy. […]
          Comment on “Alibaba economy” to generate about 30% of all jobs in 2035 by Alibaba: Building a retail ecosystem on data science, machine learning, and cloud | TechANerd   
[…] Alibaba’s record-breaking IPO in 2014 coincided with the launch of Alibaba Cloud. Alibaba looked to Amazon for inspiration there, however its cloud strategy is diversified, reflecting its overall strategy. Alibaba works as an ecosystem of retailers, consisting what it calls an economy. […]
          Jawatan Kosong di Indah Water Konsortium Sdn. Bhd - 19 July 2017   
Jawatan Kosong 2017 di Indah Water Konsortium Sdn. Bhd | Permohonan adalah dipelawa daripada Warganegara Malaysia yang berkelayakan dan berumur tidak kurang dari 18 tahun pada tarikh tutup iklan ditawarkan untuk memohon jawatan kosong di Indah Water Konsortium Sdn. Bhd.

Jawatan Kosong 2017 di Indah Water Konsortium Sdn. Bhd www.banyakjawatan.my


Company Overview


Every day each member of our organisation contributes towards a common goal - to help create a safer and cleaner Malaysia. You too can make a positive contibution to our nation’s well-being by joining us. Indah Water, your national sewerage company, is responsible for the development and management of a modern and efficient sewerage system.

As part of our services, we are currently operating and maintaining more than 5,500 sewage treatment plants and over 7,800 km of sewer pipes. But there is more to be done, such as building new sewerage infrastructure to meet the nation’s rapid growth. We have an enormous task ahead of us. And we need highly motivated and committed individuals to join our team to accomplish this. If you fit the bill and would like to leave your mark on the nation, join us in one of the following appointments:


Positions:

SECRETARY (CORPORATE COMMUNICATION)

SENIOR EXECUTIVE - IT AUDIT

SENIOR ANALYST PROGRAMMER- BW

DATABASE ADMINISTRATOR CUM SYSTEM ANALYST

MANAGER - LEARNING & DEVELOPMENT

EXECUTIVE - DATABASE & BILLING

EXECUTIVE - CUSTOMER CARE

DATA SCIENTIST EXECUTIVE

ENGINEER - ENVIRONMENTAL MANAGEMENT

ENGINEER - CERTIFYING AGENCY (MELAKA)

EXECUTIVE - TREATMENT (KUALA LUMPUR)

SENIOR EXECUTIVE - TREATMENT (MELAKA)

EXECUTIVE - ASSET (KUALA LUMPUR)

TECHNICIAN (GOMBAK)

LAB TECHNICIAN (MELAKA)

LAB TECHNICIAN (PENANG)

SUPERVISOR (TAIPING)

SUPERVISOR (GOMBAK)

(more jobs available…click the link below)


Close date : 24 June- 19 July 2017


Click Job Description & Apply

          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
          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
          Junior Data Scientist - Wabco - København   
The Role As Data Scientist , you will participate to the construction and exploitation of an analytics platform within a large company using various
Fra Wabco - Thu, 29 Jun 2017 00:59:28 GMT - Vis alle København job
          Data Scientist   

          Technical Architect Data Science   

          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
          Associate Data Science Business & Operations Management Director - Astellas Pharmaceuticals - Northbrook, IL   
Astellas offers an environment where our employees can make a real difference. Establishes, manages and updates the training curricula for vendor staff in line...
From Astellas Pharmaceuticals - Mon, 19 Jun 2017 20:03:12 GMT - View all Northbrook, IL 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
          Data Science with Java Practical Methods for Scientists and Engineers   

Data Science with Java Practical Methods for Scientists and Engineers

Data Science with Java: Practical Methods for Scientists and Engineers by PhD Michael R. Brzustowicz
English | 6 Jun. 2017 | ASIN: B072MKRQBQ | 236 Pages | AZW3 | 2.78 MB


          Data Science on the Google Cloud Platform [Early Release]   

Data Science on the Google Cloud Platform [Early Release]

Data Science on the Google Cloud Platform
English | 2017 | ISBN-10: 1491974567 | 250 pages | PDF + EPUB + MOBI(conv) | 4.83 Mb


          Announcing Data Science Daily   
At Data Driven we’re experimenting with new show formats – especially what we call “mini-shows.” Earlier this week we started a new feature called Data Science Daily . Frank has done an outstanding job on these first three installments! We’d love your feedback. What do you think of the shows so far? If you’re so inclined, please leave a review at iTunes ! :{> Follow Data Driven iTunes YouTube Twitter Facebook LinkedIn RSS Feed Learn More About Data Driven Data Driven website Episodes Blog Data...(read more)
          New Data Driven Episode: Mark Tabladillo on Data Science Teams, Bots, Personhood, and Dancing   
This week on Data Driven , Frank and I are honored to interview Mark Tabladillo , Lead Data Scientist for Microsoft Services: Data Insights Domain Center of Excellence. We talked about lots of stuff including Data Science teams, bots, personhood, and dancing. Notable Quotes No brakes on the F train. (2:10) On data munging (15:00) On MS certifications (20:00) Team Data Science (a github project) (23:45) The importance of math, engineering, and physics education (26:00) Frank, on math: “Kaboom” (29:30)...(read more)
          Developing and Evaluating Digital Interventions to Promote Behavior Change in Health and Health Care: Recommendations Resulting From an International Workshop   
Devices and programs using digital technology to foster or support behavior change (digital interventions) are increasingly ubiquitous, being adopted for use in patient diagnosis and treatment, self-management of chronic diseases, and in primary prevention. They have been heralded as potentially revolutionizing the ways in which individuals can monitor and improve their health behaviors and health care by improving outcomes, reducing costs, and improving the patient experience. However, we are still mainly in the age of promise rather than delivery. Developing and evaluating these digital interventions presents new challenges and new versions of old challenges that require use of improved and perhaps entirely new methods for research and evaluation. This article discusses these challenges and provides recommendations aimed at accelerating the rate of progress in digital behavior intervention research and practice. Areas addressed include intervention development in a rapidly changing technological landscape, promoting user engagement, advancing the underpinning science and theory, evaluating effectiveness and cost-effectiveness, and addressing issues of regulatory, ethical, and information governance. This article is the result of a two-day international workshop on how to create, evaluate, and implement effective digital interventions in relation to health behaviors. It was held in London in September 2015 and was supported by the United Kingdom’s Medical Research Council (MRC), the National Institute for Health Research (NIHR), the Methodology Research Programme (PI Susan Michie), and the Robert Wood Johnson Foundation of the United States (PI Kevin Patrick). Important recommendations to manage the rapid pace of change include considering using emerging techniques from data science, machine learning, and Bayesian approaches and learning from other disciplines including computer science and engineering. With regard to assessing and promoting engagement, a key conclusion was that sustained engagement is not always required and that for each intervention it is useful to establish what constitutes “effective engagement,” that is, sufficient engagement to achieve the intended outcomes. The potential of digital interventions for testing and advancing theories of behavior change by generating ecologically valid, real-time objective data was recognized. Evaluations should include all phases of the development cycle, designed for generalizability, and consider new experimental designs to make the best use of rich data streams. Future health economics analyses need to recognize and model the complex and potentially far-reaching costs and benefits of digital interventions. In terms of governance, developers of digital behavior interventions should comply with existing regulatory frameworks, but with consideration for emerging standards around information governance, ethics, and interoperability.

Tweets within the last 30 days: 80 | Total Tweets: | Twimpact Factor (tw7): 80 | Twindex7: 100
          Data Scientist - Hitachi Consulting Services Canada Corporation - Toronto, ON   
Software experience with Informatica and EBS. About Hitachi Consulting Corporation....
From Hitachi - Sat, 01 Jul 2017 11:50:16 GMT - View all Toronto, ON jobs
          Manager, Research- Center for Observational Research & Data Sciences - Bristol-Myers Squibb - Princeton, NJ   
The Center for Observational Research and Data Sciences (CORDS) Scientist is an individual contributor responsible for performing non-interventional research
From Bristol-Myers Squibb - Thu, 11 May 2017 18:29:00 GMT - View all Princeton, NJ jobs
          Pricing Strategy Consultant - RiverPoint - Hoffman Estates, IL   
RiverPoint Group is looking for a Senior Data Scientist / Pricing Strategy Consultant with pricing strategy experience in any or all of the following industries...
From RiverPoint - Sat, 17 Jun 2017 09:46:21 GMT - View all Hoffman Estates, IL jobs
          Contract Python Developer - (Boston)   
The contractor's role will be to implement these pipelines in a secure, HIPAA compliant, production environment. Adhering to open source code standard, the developer will be responsible forworking with the team to create a code structure that can growdeveloping a code base that is scalable, maintainable and most of all understandablewriting unit tests for key code featuresoptimizing resource-heavy code in terms of memory and speed of executioncreate secure API endpointsThe ideal developer:has a track record of writing clear and simple codehas shipped production-ready code on different backend projects in python 3be excited by data sciencehas written and shipped APIsis experienced in object oriented codingOur technical stack isPython 3.6+, anaconda distributionNLP libraries such as NLTK or spacyScikit-learn and other machine learning librariesPostgresqlGit, Docker, Procfile Must have active work authorization without need for sponsorship Python, Git, Docker, Procfile Source: http://www.juju.com/jad/000000008pixtu?partnerid=af0e5911314cbc501beebaca7889739d&exported=True&hosted_timestamp=0042a345f27ac5dc0413802e189be385daf54a16310431f6ff8f92f7af39df48
          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
          O’Reilly is Shuttering Its eBookstore   

Technical publisher O'Reilly was an early ebook pioneer. They released their ebooks DRM-free in many formats, sold direct to consumers, and offered print-digital bundles before anyone else. Now the trailblazing has come to an end. O'Reilly sent out an email yesterday to its customers with the news that it was closing its ebookstore (coincidentally, I just learned I have two accounts at O'Reilly): 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. And these important things about your O'Reilly account are staying exactly the same: You'll still have access to every ebook and video listed in "Your Products" on your O'Reilly account page. We'll alert you when those products are updated, and you can download the revised version from the "Your Products" page. You can still send the O'Reilly ebooks you've purchased to Dropbox and/or Google Drive. O'Reilly will continue to offer its ebooks through Safari Books Online, its subscription service. And of course it [...]


You just finished reading O’Reilly is Shuttering Its eBookstore which was published on The Digital Reader.


          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 - Unilever - Singapore   
Over half (57%) of the company’s footprint is in developing and emerging markets. Unilever is one of the world’s leading suppliers of Food, Home and Personal...
From Unilever - Tue, 27 Jun 2017 11:40:22 GMT - View all Singapore 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
          Principal Data Scientist - Prescriptive Analytics - Verizon - Basking Ridge, NJ   
Responsibilities HR Data & Analytics team seeks an expert in data analysis (including data structuring, mining, modeling, and visualization) with strong
From Verizon - Thu, 29 Jun 2017 10:58:13 GMT - View all Basking Ridge, NJ jobs
          Principal Data Scientist / Machine Learning Engineer - Intel - San Diego, CA   
GraphLab, Spark, Hadoop) Inside this Business Group. Cross functional support with teams in various business groups....
From Intel - Sat, 17 Jun 2017 10:23:08 GMT - View all San Diego, CA jobs
          Senior Data Scientist - Loblaw Companies Limited - Toronto, ON   
Together, we’ve created leading responsive e-commerce and omni-channel experiences for online grocery (Click &amp; Collect), Shoppers Drug Mart (beautyBOUTIQUE.ca),...
From Loblaw - Wed, 21 Jun 2017 21:31:23 GMT - View all Toronto, ON jobs
          Software Sales Hunter, Data Science Solutions - EXPERIAN - Texas   
SAS, FICO, Fiserv, Oracle, SAP, IBM, Amdocs, Pegasystems, Sungard, TIBCO, etc…) is preferred. Job Description - Software Sales Hunter, Data Science Solutions ...
From Experian - Sat, 22 Apr 2017 11:04:53 GMT - View all Texas jobs
          Data Science Apprentice - Predictive Science - United States   
Having additional data entry job experience, being a fast and accurate typist, and familiarity with MS Office and other data programs is a great plus....
From Predictive Science - Sat, 11 Mar 2017 08:05:32 GMT - View all United States jobs
          USI MD - Eminence - Assistant Manager-Data Scientist-Hyderabad - Deloitte - Hyderabad, Telangana   
Senior Analyst: Eminence CoE- Data Sciences Function: U.S. India Enabling Areas Service Area: Market Development Service Line: Eminence CoE-Data Sciences...
From Deloitte - Thu, 08 Jun 2017 15:29:26 GMT - View all Hyderabad, Telangana jobs
          Chief Compliance Officer - TrueAccord - San Francisco Bay Area, CA   
We deploy technology, machine learning, and data science to innovate and optimize how debt is collected. The Chief Compliance Officer (CCO) is responsible for...
From Indeed - Sat, 17 Jun 2017 02:01:35 GMT - View all San Francisco Bay Area, CA jobs
          Customer Support Specialist - TrueAccord - San Francisco Bay Area, CA   
Our Customer Support Team plays a key role in the success of the business; We deploy technology, machine learning, and data science to innovate and optimize how...
From Indeed - Mon, 05 Jun 2017 00:31:58 GMT - View all San Francisco Bay Area, CA jobs
          Data Scientist (Artificial Intelligence & Deep Learning) - Microsoft - Redmond, WA   
We help drive actionable business intelligence through advanced statistical modeling and business analytics across Microsoft....
From Microsoft - Sat, 13 May 2017 05:34:57 GMT - View all Redmond, WA jobs
          Sr. Manager, Advanced Analytics and Data Science - QuintilesIMS - Collegeville, PA   
Develop digital strategies that can be applied across multiple business lines and channels. Initiate digital strategies from identification of opportunity...
From QuintilesIMS - Wed, 19 Apr 2017 06:49:36 GMT - View all Collegeville, PA jobs
          Executive Director Engagement Activation - Verizon - Basking Ridge, NJ   
This discipline works closely with other internal teams (centralized media functions – i.e. SEM, Data Sciences), Demand Activation Leads, Experience, Creative...
From Verizon - Thu, 29 Jun 2017 10:58:38 GMT - View all Basking Ridge, NJ jobs
          Senior Data Architect - ASRC Federal - Moorestown, NJ   
Senior Data Architect. ASRC Federal Mission Solutions (AFMS) is seeking a Senior Data Scientist/ Architect to join its professional engineering team developing...
From ASRC Federal - Sat, 03 Jun 2017 01:36:31 GMT - View all Moorestown, NJ jobs
          Data Scientist   
Careerwise - Manchester - Lancashire - Science, Data Mining (classical regression, logistic regression, CHAID, CART, neural nets, association rules, sequence analysis, cluster analysis...
          Digital Transformation: How Companies Rethink, Retool and Reboot Alongside Government Partners   

The dynamics of the win-win that public-private partnerships can offer are clear: Faced with the need to embrace technological advances to stay competitive, companies need both access to capital and workers with the skills to help them leverage the capabilities of innovations in areas like data science, cloud computing and smart manufacturing. Meanwhile, state and […]

The post Digital Transformation: How Companies Rethink, Retool and Reboot Alongside Government Partners appeared first on ChiefExecutive.net | Chief Executive magazine.


          Re: Video Of The Week: Purpose, Mission, Strategy   

Re holding senior people to account, I did ask a Prof of AI in front of 1500 people at a data science conference if their proclamation, "Computers emulate the human brain and simulate evolution" was right.

I noted that computers start from the basis of the mathematical logic functions of the neocortex with language processing and emotions now being bolted on --- whereas our human brain evolved from the emotions of the reptilian brain out to the limbic where language understanding happens and finally to the neocortex.

So computer intelligence and evolution is actually the inverse and opposite of human brain evolution.

He admitted I was right and AI is different from us.


          Software Sales Hunter, Data Science Solutions - EXPERIAN - Texas   
SAS, FICO, Fiserv, Oracle, SAP, IBM, Amdocs, Pegasystems, Sungard, TIBCO, etc…) is preferred. Job Description - Software Sales Hunter, Data Science Solutions ...
From Experian - Sat, 22 Apr 2017 11:04:53 GMT - View all Texas jobs
          Data Scientist - Hitachi Consulting Services Canada Corporation - Toronto, ON   
Applies intellectual curiosity and deep analytical thinking to mine large data sets for hidden gems of insight and correlation....
From Hitachi - Sat, 01 Jul 2017 11:50:16 GMT - View all Toronto, ON jobs
          Nuit Blanche in Review (June 2017)   

Since the last Nuit Blanche in Review (May 2017) we've had three implementations related to Deep Neural Networks, a few in-depth post ranging from training nets to compressive sensing,  a dataset, two Paris Machine Learning meetups, one meeting announcement, several videos of talks and four job announcements. Enjoy !

Implementations

In depth

Book
Dataset

Paris Machine Learning meetup

Meeting
slides

Videos

Job:






Join the CompressiveSensing subreddit or the Google+ Community or the Facebook page and post there !
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          Senior Data Scientist - Wade & Wendy - New York, NY   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Mon, 05 Jun 2017 14:17:24 GMT - View all New York, NY jobs
          Senior Data Scientist - Loblaw Companies Limited - Toronto, ON   
Together, we’ve created leading responsive e-commerce and omni-channel experiences for online grocery (Click &amp; Collect), Shoppers Drug Mart (beautyBOUTIQUE.ca),...
From Loblaw - Wed, 21 Jun 2017 21:31:23 GMT - View all Toronto, ON jobs
          Marketing Data Scientist Intelligent Customer Interactions - USA-MI-Dearborn   
Job Description/Overview: ******* 's Global Data, Insight, and Analytics (GDIA) organization is looking for motivated and talented individuals with a background in Data and Analytics to work on per...
          Engineering   
CA-Santa Clara, ENGINEERING: JD.com American Technologies Corp., Santa Clara has openings: (1)Research Engineer, Computer Vision. Master's in Eng, 3 yr exp. (2)Data Scientist, Search algorithm /Search Machine Learning Model. Master's in Statistics /Applied Math 3 yr exp. (3) Research Engineer, Computer Vision. Master's in EE/CE, 1 yr exp. For all positions, email: career-sv@jd.com
          Pricing Strategy Consultant - RiverPoint - Hoffman Estates, IL   
RiverPoint Group is looking for a Senior Data Scientist / Pricing Strategy Consultant with pricing strategy experience in any or all of the following industries...
From RiverPoint - Sat, 17 Jun 2017 09:46:21 GMT - View all Hoffman Estates, IL jobs
          Principal Data Scientist - Prescriptive Analytics - Verizon - Basking Ridge, NJ   
Responsibilities HR Data & Analytics team seeks an expert in data analysis (including data structuring, mining, modeling, and visualization) with strong
From Verizon - Thu, 29 Jun 2017 10:58:13 GMT - View all Basking Ridge, NJ jobs
          Lead Data Scientist (Machine Learning/Artificial Intelligence)   

          Machine Learning Data Scientist   

          Data Scientist - AE - Heverlee   
Je vertaalt functionele en niet-functionele high-level vereisten naar een correcte decision support strategie (identificatie en combinatie van verschillende...
Van AE - Mon, 20 Mar 2017 05:28:59 GMT - Toon alle vacatures in Heverlee
          Pricing Strategy Consultant - RiverPoint - Hoffman Estates, IL   
RiverPoint Group is looking for a Senior Data Scientist / Pricing Strategy Consultant with pricing strategy experience in any or all of the following industries...
From RiverPoint - Sat, 17 Jun 2017 09:46:21 GMT - View all Hoffman Estates, IL jobs
          Software Developer   
Affecto are a specialist technology recruitment business who are proud to be working with a Hull based dynamic market-leader of their field, who are looking to grow their Software Development team. A forward-thinking business, they have a world class team that builds high quality, innovative and fully performing software. With an expanding portfolio of blue-chip clients, this is an excellent opportunity for passionate and driven Software Developers to join them on their journey. What you will do: Be a key-player in a scrum/agile team, developing high quality software Using Test Driven Design principles, develop and execute automated Unit Tests Be an expert in performing Code Management using Continuous Integration and other services Work with the group partners, colleagues and teams, as well as assisting the Development Team Leader What you need: A degree in Computer Science or equivalent would be great, however candidates without a degree but with relevant work experience will also be considered The ability to work independently, including being able to problem solve and be self-motivated Significant recent experience developing full stack software and with test-driven development The knowledge of a range of software engineering practices, including the best practices for the full software development life cycle The ability to work well and communicate proficiently in a diverse team environment This is a fantastic opportunity to be part of a market leading company - if the above sounds like the challenge that you are looking for, we would love to hear from you! Affecto Recruitment is acting as a Recruitment Agency in this instance and is an equal opportunities employer. Affecto Recruitment support all roles within IT including Software Developers, Android and iOS Developers, Infrastructure Engineers, Test Analysts, Project Managers, Business Analysts, Database Administrators, Data Analysts, Data Scientists, MI Analysts and Embedded Software Engineers with a vast range of clients UK wide but predominantly in South Yorkshire, West Yorkshire, East Yorkshire and Nottinghamshire.
          Data Scientist - integrate.ai - Toronto, ON   
Founded by Steve Irvine, former Facebook executive, we are proud to be based in Toronto, Canada at the center of an exciting AI ecosystem....
From Integrate.ai - Sat, 10 Jun 2017 01:09:24 GMT - View all Toronto, ON jobs
          tableau expert by weffaq   
Tableau expert needed for project in Dubai (Budget: $250 - $750 USD, Jobs: Crystal Reports, Data Science, Pentaho, SAS, Tableau)
          tableau expert by weffaq   
Tableau expert needed for project in Dubai (Budget: $250 - $750 USD, Jobs: Crystal Reports, Data Science, Pentaho, SAS, Tableau)
          Data Scientist - integrate.ai - Toronto, ON   
Founded by Steve Irvine, former Facebook executive, we are proud to be based in Toronto, Canada at the center of an exciting AI ecosystem....
From Integrate.ai - Sat, 10 Jun 2017 01:09:24 GMT - View all Toronto, ON jobs
          Comment on Your First Machine Learning Project in R Step-By-Step (tutorial and template for future projects) by Manish Chakraborty   
Hi Jason, Need one help again. Thanks in advance. Since this is my first Data Science Project, so the question. What and how to interpret from the result of BoxPlot. It will be of help if you can kindly explain a bit of the outcome of the BoxPlot.
          USI MD - Eminence - Assistant Manager-Data Scientist-Hyderabad - Deloitte - Hyderabad, Telangana   
Senior Analyst: Eminence CoE- Data Sciences Function: U.S. India Enabling Areas Service Area: Market Development Service Line: Eminence CoE-Data Sciences...
From Deloitte - Thu, 08 Jun 2017 15:29:26 GMT - View all Hyderabad, Telangana jobs
          Associate Data Science Business & Operations Management Director - Astellas Pharmaceuticals - Northbrook, IL   
Astellas offers an environment where our employees can make a real difference. Establishes, manages and updates the training curricula for vendor staff in line...
From Astellas Pharmaceuticals - Mon, 19 Jun 2017 20:03:12 GMT - View all Northbrook, IL 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 Scientist   

          Hiring for On-line Trainers - Big Data - Data Science - R - Scala - Spark in Hyderabad / Secunderaba (Job in Kolkata)   
Job Description:Required on-line trainers on following Tracks: - Big Data - Hadoop - Data Science - R, Scala, Spark - Data Visualization - Python Please send email to ISBACourses@gmail.com tags: 16 To apply for this job Click here [URL]http://spanjobs.c...
          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
          Executive Director Engagement Activation - Verizon - Basking Ridge, NJ   
This discipline works closely with other internal teams (centralized media functions – i.e. SEM, Data Sciences), Demand Activation Leads, Experience, Creative...
From Verizon - Thu, 29 Jun 2017 10:58:38 GMT - View all Basking Ridge, NJ jobs
          Data Scientist - Focal Systems - Canada   
Bachelors in CS / EE / Math / Stats / Econ or equivalent. Focal produces terabytes of data every week and parsing through that data is extremely challenging but...
From Focal Systems - Fri, 30 Jun 2017 10:39:37 GMT - View all Canada jobs
          Manager, Data Scientist - Sports Media   
Work with digital stakeholders and managers to understand business objectives; create and maintain weekly and monthly reports for measuring performance (Sports Media, Digital, IT)
          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
          Learning Salesforce Einstein   

Incorporate the power of Einstein in your Salesforce application About This Book Make better predictions of your business processes using prediction and predictive modeling Build your own custom models by leveraging PredictionIO on the Heroku platform Integrate Einstein into various cloud services to predict sales, marketing leads, insights into news feeds, and more Who This Book Is For This book is for developers, data scientists, and Salesforce-experienced consultants who want to explore Salesforce Einstein and its current offerings. It assumes some prior experience with the Salesforce platform. What You Will Learn Get introduced to AI and its role in CRM and cloud applications Understand how Einstein works for the sales, service, marketing, community, and commerce clouds Gain a deep understanding of how to use Einstein for the analytics cloud Build predictive apps on Heroku using PredictionIO, and work with Einstein Predictive Vision Services Incorporate Einstein in the IoT cloud Test the accuracy of Einstein through Salesforce reporting and Wave analytics In Detail Dreamforce 16 brought forth the latest addition to the Salesforce platform: an AI tool named Einstein. Einstein promises to provide users of all Salesforce applications with a powerful platform to help them gain deep insights into the data they work on. This book will introduce you to Einstein and help you integrate it into your respective business applications based on the Salesforce platform. We start off with an introduction to AI, then move on to look at how AI can make your CRM and apps smarter. Next, we discuss various out-of-the-box components added to sales, service, marketing, and community clouds from salesforce to add Artificial Intelligence capabilities. Further on, we teach you how to use Heroku, PredictionIO, and the force.com platform, along with Einstein, to build smarter apps. The core chapters focus on developer content and introduce PredictionIO and Salesforce Einstein Vision Services. We explore Einstein Predictive Vision Services, along with analytics cloud, the Einstein Data Discovery product, and IOT core concepts. Throughout the book, we also focus on how Einstein can be integrated into CRM and various clouds such as sales, services, marketing, and communities. By the end of the book, you will be able to embrace and leverage the power of Einstein, incorporating its functions to gain more knowledge. Salesforce developers will be introduced to the world of AI, while data scientists will gain insights into Salesforce’s various cloud offerings and how they can use Einstein’s capabilities and enhance applications. Style and approach This book takes a straightforward approach to explain Salesforce Einstein and all of its potential applications. Filled with examples, the book presents the facts along with seasoned advice and real-world use cases to ensure you have all the resources you need to incorporate the power of Einstein in your work. Downloading the example code for this book. You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com . If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the code file.


          Principal Data Scientist - Prescriptive Analytics - Verizon - Basking Ridge, NJ   
Responsibilities HR Data & Analytics team seeks an expert in data analysis (including data structuring, mining, modeling, and visualization) with strong
From Verizon - Thu, 29 Jun 2017 10:58:13 GMT - View all Basking Ridge, NJ jobs
          Junior Data Scientist - Wabco - København   
The Role As Data Scientist , you will participate to the construction and exploitation of an analytics platform within a large company using various
Fra Wabco - Thu, 29 Jun 2017 00:59:28 GMT - Vis alle København job
          Associate Data Science Business & Operations Management Director - Astellas Pharmaceuticals - Northbrook, IL   
Astellas offers an environment where our employees can make a real difference. Establishes, manages and updates the training curricula for vendor staff in line...
From Astellas Pharmaceuticals - Mon, 19 Jun 2017 20:03:12 GMT - View all Northbrook, IL jobs
          Python Bytes: #32 8 ways to contribute to open source when you have no time   
<p><strong>Brian #1:</strong> <a href="https://medium.com/@plotlygraphs/introducing-dash-5ecf7191b503"><strong>Introducing Dash</strong></a></p> <ul> <li>UI library for analytical web applications</li> </ul> <p><strong>Michael #2:</strong> <a href="https://lwn.net/Articles/723949/"><strong>Keeping Python competitive</strong></a></p> <ul> <li>Article on LWN, interview with Victor Stinner</li> <li>He sees a need to improve Python performance in order to keep it competitive with other languages.</li> <li>Not as easy to optimize as other languages. For one thing, the C API blocks progress in this area</li> <li>Python 3.7 is as fast as Python 2.7 on most benchmarks, but 2.7 was released in 2010. Users are now comparing Python performance to that of Rust or Go, which had only been recently announced in 2010. </li> <li>In his opinion, the Python core developers need to find a way to speed Python up by a factor of two in order for it to continue to be successful.</li> <li>JITs may be part of the answer, notably Pyjion by Dino Viehland and Brett Cannon</li> <li>An attendee suggested Cython, which does AoT compilation, but its types are not Pythonic. He suggested that it might be possible to use the new type hints and Cython to create something more Pythonic.</li> </ul> <p><strong>Brian #3:</strong> <a href="https://hynek.me/articles/sharing-your-labor-of-love-pypi-quick-and-dirty/"><strong>PyPI Quick and Dirty</strong></a></p> <ul> <li>A completely incomplete guide to packaging a Python module and sharing it with the world on PyPI. - Hynek Schlawack</li> </ul> <p><strong>Michael #4:</strong> <a href="https://github.com/keon/algorithms"><strong>Minimal examples of data structures and algorithms in Python</strong></a></p> <ul> <li>Simple algorithmic examples in Python, including <ul> <li>linked lists</li> <li>reversing linked lists</li> <li>GCD</li> <li>Queues</li> <li>Binary search</li> <li>depth first search</li> <li>many, many more</li> </ul></li> </ul> <p><strong>Brian #5:</strong> <a href="https://opensource.com/article/17/6/find-time-contribute"><strong>8 ways to contribute to open source when you have no time</strong></a></p> <p><strong>Michael #6:</strong> <a href="https://www.numfocus.org/blog/numpy-receives-first-ever-funding-thanks-to-moore-foundation/"><strong>NumPy receives first ever funding, thanks to Moore Foundation</strong></a></p> <ul> <li>For the first time ever, NumPy—a core project for the Python scientific computing stack—has received grant funding.</li> <li>The proposal, “<a href="https://www.moore.org/grant-detail?grantId=GBMF5447">Improving NumPy for Better Data Science</a>” will receive $645,020 from the Moore Foundation over 2 years, with the funding going to UC Berkeley Institute for Data Science. </li> <li>The principal investigator is <a href="https://bids.berkeley.edu/people/nathaniel-smith">Dr. Nathaniel Smith</a>.</li> <li>The NumPy project was started in 2006 by <a href="https://www.numfocus.org/about/people/advisory-council/">Travis Oliphant</a>.</li> </ul>
          Sr. Software Engineer - D3/JavaScript/Visualization   
SummaryImagine helping hospitals better understand their healthcare data, cities visualize and understand crime data, and helping education institutions throughout the country use data insights to improve their systems.

This team is helping the government and private organizations gather important insights to improve society as a whole. This startup is at 25 people (7 on the engineering side) and looking to double in size by the end of the year. Since they are still on the smaller side, you will have the opportunity to help grow and mentor other engineers coming to the team.

You will use your experience in data visualization to influence how our client builds and refines their visualization layer. They host the largest data library for civic data but it is almost useless if the data cannot be visualized in an insightful, impactful and gorgeous way.

Qualifications

* You are an experienced senior software developer with preferably 5+ years of experience.
* You have an intimate understanding of the challenges of data visualization. You have 3+ years of experience in that area.
* You are familiar with data visualization infrastructure, from UI to backend.
* You have worked with subject matter experts and data scientist and understand how the data may need to be prepared before it can be displayed at scale.
* Ultimately, you want to be part of something big than software and make a durable change.
* You have a BS Degree in computer science with strong knowledge in CS fundamentals, algorithms & data structures.

Technologies you master:

* Experience with Javascript is required and you should know it inside out.
* Visualization and mapping packages such as D3js, Mapbox or others is required.
* Experience with ReactJS is a huge plus.
* Experienced with the newest CSS and HTML technologies.
          Data Engineer   
Title: Data Engineer

Location: Downtown Chicago (River North)

Duration: Full Time Employment

Client: Top Technology Start-up (Travel Industry)



Summary:

This opportunity is a Data Engineer with one of Chicago's top technology start-ups located in downtown Chicago. This individual will bring a passion for data to a company that manages real-time data in a secure, timely, and scalable way. They will work closely with Data Scientists and Software Engineers to build and manage a world class data streaming environment.

Why This Position:

* Work for a travel technology start-up that is fully funded by their clients! (American Airlines, Hilton, Hyatt, United Airlines, etc.)
* Join a fast growing team working on exciting projects.
* Enjoy being able to work in jeans and t-shirts with unlimited snacks and drinks in the kitchen.
* Have the opportunity to work on the first Experience Management Platform for the travel industry.

What You Need:

* Bachelor’s in science or engineering, or amazing work experience
* Experience building secure and scalable data solutions
* Software design and development skills using Git
* Experience with relational and NoSQL datastores
* Automated test and continuous integration experience
* Experience with languages such as SQL, R, Python, and Scala
          Data Scientist - Hitachi Consulting Services Canada Corporation - Toronto, ON   
Software experience with Informatica and EBS. About Hitachi Consulting Corporation....
From Hitachi - Sat, 01 Jul 2017 11:50:16 GMT - View all Toronto, ON jobs
          Senior Data Architect - ASRC Federal - Moorestown, NJ   
Senior Data Architect. ASRC Federal Mission Solutions (AFMS) is seeking a Senior Data Scientist/ Architect to join its professional engineering team developing...
From ASRC Federal - Sat, 03 Jun 2017 01:36:31 GMT - View all Moorestown, NJ 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
          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
          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 - 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
          Data Scientist   
San Francisco, Data Scientist Company: Ancestry DNA Location: San Francisco, CA Position Type: Full Time Experience: 1 year Education: Master's Degree Data Scientist: Dvlp comp. methods/models to analyze genomic data from genomic samples. Anlze big data from high-throughput sequencing tech platforms. Dvlp & validate machine learning. Req: MSCS & 1 yr. exp. w/ sequencing data, predictive modeling, visualization,
          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
          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   

          Data Scientist (SFO)   

          Data Science Platform Developer - Iodine Software - Austin, TX   
2+ years of professional experience writing Java code. Design and implement highly performing and highly scalable Java applications....
From Iodine Software - Fri, 30 Jun 2017 00:28:17 GMT - View all Austin, TX jobs
          Data Scientist - Data Scientist, Hadoop, Python   
Lexington Park, If you are a Data Scientist with experience, please read on! Top Reasons to Work with Us 1. An awesome opportunity to work with Big Data & be part of high profile aviation projects for government & defense 2. We are privately held company, we continue to grow our Data Engineering team well into 2017 What You Will Be Doing Our Engineering team is developing multiple products for the marketplace. Th
          Data Scientist - Drop - Toronto, ON   
Through our mobile app, users supercharge their debit and credit cards to automatically earn points on their every day spending at places such as Starbucks, Tim...
From Drop - Thu, 01 Jun 2017 02:38:43 GMT - View all Toronto, ON 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
          Senior Data Scientist - Microsoft - Redmond, WA   
Office 365 is the locomotive engine that uplifts enterprise &amp; consumer monetization with millions of active users in our datacenters around the globe....
From Microsoft - Tue, 06 Jun 2017 13:26:20 GMT - View all Redmond, WA jobs
          Lead Data Scientist   
Henderson, If you are a Data Scientist Lead with experience building enterprise Analytics Dashboards, please read on! We are one of the worlds largest mineral companies, looking to bring automation and analytics to our vast enterprise operation. This role will be based out of the Las Vegas area, with frequent travel to production facilities throughout Nevada. To help advance our infrastructure, we are lookin
          Data Scientist - Focal Systems - Canada   
Bachelors in CS / EE / Math / Stats / Econ or equivalent. Focal produces terabytes of data every week and parsing through that data is extremely challenging but...
From Focal Systems - Fri, 30 Jun 2017 10:39:37 GMT - View all Canada jobs
          Data Scientist - Machine Learning/ R / Python/ Hadoop   
Boston, If you are a Data Scientist with experience, please read on! Top Reasons to Work with Us We are a well-recognized, rapidly growing marketing automation firm that enterprise clients trust to increase overall customer value. What You Will Be Doing - designing experiments to analyze observational data to provide analytical insight. - implementing machine learning algorithms - performing complex data
          Data Scientist - Machine Learning/ R / Python/ Hadoop   
Boston, If you are a Data Scientist with experience, please read on! Top Reasons to Work with Us We are a well-recognized, rapidly growing marketing automation firm that enterprise clients trust to increase overall customer value. What You Will Be Doing - designing experiments to analyze observational data to provide analytical insight. - implementing machine learning algorithms - performing complex data
          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
          Principal Data Scientist - Prescriptive Analytics - Verizon - Basking Ridge, NJ   
Responsibilities HR Data & Analytics team seeks an expert in data analysis (including data structuring, mining, modeling, and visualization) with strong
From Verizon - Thu, 29 Jun 2017 10:58:13 GMT - View all Basking Ridge, NJ 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
          Data Science Part Two – Making Sense of All That Data   
Click for a full size image   Data Science Part Two – Making Sense of All That Data This is the second part of a two-part series on data science, adapted from a feature from the Northwestern University News Center and edited for the Breakthroughs in Care audience. To learn about how data science is ...
          Data Scientist   
IL-Bloomington, Data Scientist, Bloomington, IL: Develop, interpret, implement, & support several types of statistical modeling & data mining techniques. Analyze needs for analytic information & convert into action items, requests, or projects. Use domain knowledge of business areas & research skills to address a diverse range of real-world business issues & to solve business problems. Develop analytic developmen
          Manager, Research- Center for Observational Research & Data Sciences - Bristol-Myers Squibb - Princeton, NJ   
The Center for Observational Research and Data Sciences (CORDS) Scientist is an individual contributor responsible for performing non-interventional research
From Bristol-Myers Squibb - Thu, 11 May 2017 18:29:00 GMT - View all Princeton, NJ jobs
          Data Scientist - Mid-Level - 30000250   

          Principal Data Scientist - Honeywell - Atlanta, GA   
Honeywell is an equal opportunity employer. You will be responsible for working within Honeywell to identify opportunities for new growth and efficiency based...
From Honeywell - Thu, 29 Jun 2017 22:52:36 GMT - View all Atlanta, GA jobs
          SENIOR ANALYST - join leading DATA SCIENCE ANALYTICS CONSULTANCY - CAPE TOWN, R800K/annum   
Cape Town, Western Cape - This is an excellent opportunity for a SENIOR DATA ANALYST / ANALYTICS CONSULTANT to join a leading DATA SCIENCE ANALYTICS CONSULTANCY... for a SENIOR DATA ANALYST / ANALYTICS CONSULTANT to join a leading DATA SCIENCE ANALYTICS CONSULTANCY. Based in CAPE TOWN this SENIOR ANALYST...
          SENIOR ANALYST - join leading DATA SCIENCE ANALYTICS CONSULTANCY - CAPE TOWN, R800K/annum   
Cape Town, Western Cape - This is an excellent opportunity for a SENIOR DATA ANALYST / ANALYTICS CONSULTANT to join a leading DATA SCIENCE ANALYTICS CONSULTANCY... most advanced open-source developers, exploring Data Science innovations to offer ever increasing analytical solutions to the market. Culturally...
          Principal Data Scientist - Honeywell - Atlanta, GA   
Honeywell is an equal opportunity employer. You will be responsible for working within Honeywell to identify opportunities for new growth and efficiency based...
From Honeywell - Thu, 29 Jun 2017 22:52:36 GMT - View all Atlanta, GA jobs
          (USA-WA-Seattle) Data Scientist - Work with the best in the U.S.!   
Data Scientist - Work with the best in the U.S.! Data Scientist - Work with the best in the U.S.! - Skills Required - Machine Learning, Python, Data Mining, Predictive Analytics, Cloud Computing If you are a Data Scientist with experience, please read on! **Top Reasons to Work with Us** We are one of the most innovative companies in the Seattle area. This data science group of 15 has the ability to affect our bottom line by potentially billions of dollars a year making yourself indispensable and more highly compensated and regarded beyond your imagination. **What You Will Be Doing** You will be utilizing the latest machine learning and predictive analytics tools and techniques to make suggestions in how to enhance our CRM and our sales team. So far this year our group has contributed pver $50 MM and this is just the tip of the iceberg. **What You Need for this Position** At Least 3 Years of experience and knowledge of: - Machine Learning - Python - Data Mining - Predictive Analytics - Cloud Computing **What's In It for You** This is a great opportunity for you to make a name for yourself in one of the primer companies in the world and work with some of the greatest minds in data science. So, if you are a Data Scientist with experience, please apply today! 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. *Data Scientist - Work with the best in the U.S.!* *WA-Seattle* *JL3-1383049*
          (USA-WA-Seattle) Finance Manager - Consumer Marketing Analytics   
Amazon Consumer Marketing Finance seeks a Sr Financial Analyst to support the Consumer Marketing Analytics (CMA) team, which is responsible for generating customer understanding and insights, Customer Targeting applications, and Marketing Attribution. Products that CMA develop are built from the ground up, cutting edge technologies that fuse Big Data with concepts from Machine Learning, Economics and other fields like Data Science. These innovations help make strategic investment decisions and define the customer engagement metrics by which Amazon runs its business globally. This role will influence the metrics that make customer messaging more personal. The Sr. Financial Analyst would partner with the CMA business/tech teams. S/he has a passion for learning about complex econometric models and communicating to a non-technical audience in a crisp manner. The successful candidate will have strong analytic and communication skills, and have a passion for using data to drive business decisions. We are looking for a self-starter that attacks complex business problems with curiosity and dives deep to identify root causes. This individual thrives by providing data-driven decision support and business intelligence that is timely, accurate, and actionable. + Bachelor’s degree in finance, accounting, business, economics, or related field + 5+ years of relevant Finance experience + Master’s degree in finance, accounting, business, economics, or related field + Advanced knowledge of Excel + Strong analytical, financial modeling and reporting skills + Persuasive oral/written communication skills + Knowledge of SQL is desirable + Must be comfortable working in cross-functional teams + Ability to demonstrate strong leadership + Excellent communication and persuasion skills Amazon is an Equal Opportunity-Affirmative Action Employer - Female/Minority/Disability/Veteran/Gender Identity/Sexual Orientation AMZR Req ID: 553865 External Company URL: www.amazon.com
          (USA-WA-Seattle) Applied Scientist - Reconciliation   
Do you want to invent and own algorithms that determine product details and images for every product viewed by every single Amazon customer? The newly formed Reconciliation team is responsible for the critical services that assemble the product details in the product catalog by combining data from sellers, vendors or internal systems, in real-time, millions of times a day. These services, which are a core part of the Amazon's product catalog, are being re-built from scratch. The product catalog is a strategic asset for Amazon. It powers unrivaled product discovery, informs customer buying decisions, offers a huge selection across a large number of categories and positions Amazon as the first stop for shopping online. As an applied scientist in ASCS you will help us make the world’s best product catalog even better and improve the experience for millions of customers. You will analyze how information within Amazon’s catalog affects our customers and help devise short term and long term strategy for expanding and enhancing the catalog. You will have the opportunity to design new data analytical workflows at a scale rarely available elsewhere, utilizing state-of-the-art data science and machine learning tools such as Spark, Python, and Theano and Amazon’s cloud computing technologies such as Elastic Map Reduce (EMR), Kinesis, and Redshift. You will apply your knowledge about data science by creating algorithmic solutions that combine techniques like clustering, pattern mining, predictive modeling, deep learning, statistical testing, information retrieval, and natural language processing and apply them to huge data amounts of data describing the products in the catalog and the customer interactions. You evaluate with scientific rigor and provide inputs to business strategy and technical direction. You will collaborate with software engineering teams to integrate your algorithmic solutions into large-scale highly complex Amazon production systems. You will encounter many challenges, including + scale (build models for billions of products in the catalog utilizing trillions of customer interactions), + accuracy (extreme requirements for precision or recall due to impact of getting it wrong, e.g. extremely high precision for merging identical products or extremely high recall for identifying hazardous materials) + speed (generate predictions for millions of new or changed products with low latency), + diversity (products need to be classified into >100k’s of categories across 16 languages), + high dimensionality (feature engineering and selection using thousands of structured product features with millions of values, unstructured product data, product images, customer searches, clicks, reviews, etc.), and + noise (build models robust to varying quality of data provided by millions of sellers and labels derived implicitly or collected from humans). You will need to be creative and go far beyond text book solutions to deal with these challenges. Meeting the business requirements will involve combining several different machine learning algorithms with domain knowledge into complex data analytical workflows that automate what can be automated and efficiently utilize experts when needed to mitigate risk. You will help us to + Identify which product information matters most to our customers. + Extract product information from unstructured data to augment the catalog. + Consolidate spelling variations of product attributes like brand, size, or color. + Automatically classify new products with low latency into our highly detailed product categories. + Improve the categorization of our huge catalog with minimum manual effort. + Identify identical products and similar products such as different sizes and colors of the same shoe. + Identify restricted products such as hazardous materials. + Estimate the financial impact of catalog improvements. We use the resulting models to automatically improve the catalog when possible, and design efficient machine assisted workflows to allow expert review for high impact decisions. Your solutions will directly impact the customer experience by making products discoverable, presenting them in the right place, with complete and accurate product information to enable informed purchase decisions. *scijobs - MS or PhD in CS, Applied Math, Statistics, or a related field. - Proficiency with a scripting language such as R, Matlab, Python - 5+ years of hands on experience working on applied machine learning projects. - Proficiency with a production language such as C++ or Java - A strong track record of innovating through machine learning and statistical algorithms and their applications. - Strong demonstrated skills implementing and deploying large scale machine learning applications and tools. - Ability to innovate in ML and a track record of publications. - 5-8 years of experience working on applied machine learning projects Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. Qualified applicants with criminal histories will be considered in a manner consistent with all applicable local, state and federal laws. AMZR Req ID: 552085 External Company URL: www.amazon.com
          (USA-WA-Seattle) Business Analyst II   
Amazon Simple Storage Service (Amazon S3) is looking for a Business Analyst to dive deep into our sophisticated capacity planning system and find opportunities to improve our customer’s cost experience. Our customers range from startups like Pinterest (https://aws.amazon.com/solutions/case-studies/pinterest/) to well-known enterprises like NASA (https://aws.amazon.com/solutions/case-studies/nasa-jpl-curiosity/). We provide elastic storage scaling at a low cost. As a member of the Amazon S3 team you'll join other outstanding engineers and analysts to work hard, have fun, and create the future of cloud storage. Amazon S3 is one of the world's largest data repositories. This role will be responsible analyzing customer and internal usage and influencing the strategic engineering direction of S3. You will work closely with financial analysts and software engineers across AWS S3 and infrastructure services. We are looking for candidates who are excited about high cardinality analytics problems. The ideal candidate can work with data from multiple data sources and synthesize actionable recommendations. The candidate should be comfortable communicating with both technical stakeholders and financial stakeholders. The ideal candidate will draw upon solid analytical, critical thinking, and problem solving skills, have a passion for working with numbers and data visualization. Key responsibilities include: + Provide weekly forecast variance analysis + Recommend projects to reduce forecast variance + Work closely with various stakeholders to define the information needed and how best to present it + Support program leadership with timely recurring and ad-hoc analysis + Partner with cross-functional teams including Financial Partners, software engineering teams, and infrastructure capacity planners + Drive continuous process improvement and automation + Ideal candidate will be a motivated self-starter with ability to dive deep + 2+ years working in data management + BS in Computer Science, Engineering, or other related field + Advanced skills in Excel, SQL + Experience with data-warehouses + Excellent verbal and written communication skills + Ability to work effectively within a collaborative and fast paced team environment + Ability to complete tasks with accuracy and with strong attention to detail + An analytical mindset + 4+ years of experience as Business Analyst, Financial Analyst, Data Scientist or related field + Expert proficiency in data visualization software + Industry experience managing capacity for ‘Cloud’ type services + Advanced problem-solving skills for difficult to complex issues + Knowledge of basic statistics and working with statistical software packages AMZR Req ID: 551144 External Company URL: www.amazon.com
          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
          Hiring for Data Scientist - Quantitative Researcher in Bengaluru/Bangalore, for Exp. 2 - 5 yrs at St (Job in Kolkata)   
Job Description:Accern is looking for a data scientist to join our growing team and be part of our data science effort at our India office. As we cater mostly financial institutions like hedge funds and banks, the right candidate must have some experience...
          Data Scientist - integrate.ai - Toronto, ON   
Founded by Steve Irvine, former Facebook executive, we are proud to be based in Toronto, Canada at the center of an exciting AI ecosystem....
From Integrate.ai - Sat, 10 Jun 2017 01:09:24 GMT - View all Toronto, ON jobs
          Manager, Quantitative Analytics/Data Science - Scotiabank - Toronto, ON   
Assess the impact of GL reconciliation results on capital and critical risk reports. Join the Global Community of Scotiabankers to help customers become better...
From Scotiabank - Thu, 29 Jun 2017 18:49:25 GMT - View all Toronto, ON jobs
          Senior Analyst, Predictive Modeling & Data Science - BMO Financial Group - Toronto, ON   
Lev. 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 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
          Senior Data Scientist - HealthTap - Palo Alto, CA   
You have real-world experience working with massive amount of data using big data tools such as HIve, Pig, Impala, Spark Streaming/SQL, Presto, etc....
From HealthTap - Thu, 20 Apr 2017 05:50:47 GMT - View all Palo Alto, CA jobs
          Data Scientist - AE - Heverlee   
Je vertaalt functionele en niet-functionele high-level vereisten naar een correcte decision support strategie (identificatie en combinatie van verschillende...
Van AE - Mon, 20 Mar 2017 05:28:59 GMT - Toon alle vacatures in Heverlee
          Data Scientist - Hitachi Consulting Services Canada Corporation - Toronto, ON   
Applies intellectual curiosity and deep analytical thinking to mine large data sets for hidden gems of insight and correlation....
From Hitachi - Sat, 01 Jul 2017 11:50:16 GMT - View all Toronto, ON jobs
          Principal Data Scientist - Microsoft - Redmond, WA   
We are a horizontal team and need each DS to lead and drive their projects. The Microsoft Support Engineering Group (MSEG) is part of Universal Store Team (UST)...
From Microsoft - Sat, 13 May 2017 05:34:59 GMT - View all Redmond, WA jobs
          Principal Data Scientist / Machine Learning Engineer - Intel - San Diego, CA   
GraphLab, Spark, Hadoop) Inside this Business Group. Cross functional support with teams in various business groups....
From Intel - Sat, 17 Jun 2017 10:23:08 GMT - View all San Diego, CA jobs
          Director, Data Scientist - KPMG - Santa Clara, CA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Santa Clara, CA jobs
          Director, Data Scientist - KPMG - Atlanta, GA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Tue, 16 May 2017 08:29:26 GMT - View all Atlanta, GA jobs
          Data Scientist - IBM - Austin, TX   
Opportunities to implement machine learning into support business processes. Business process optimization....
From IBM - Tue, 06 Jun 2017 21:03:26 GMT - View all Austin, TX jobs
          Director, Data Scientist - KPMG - Seattle, WA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Seattle, WA jobs
          Senior Data Science Engineer - Rubikloud Technologies - Toronto, ON   
Additionally, we offer a personal development budget that you are free to use for professional development or even as a fitness allowance....
From Rubikloud Technologies - Sat, 01 Jul 2017 02:20:02 GMT - View all Toronto, ON jobs
          Director, Data Scientist - KPMG - Santa Clara, CA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Santa Clara, CA jobs
          Director, Data Scientist - KPMG - Atlanta, GA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Tue, 16 May 2017 08:29:26 GMT - View all Atlanta, GA jobs
          Data Scientist - IBM - Austin, TX   
Opportunities to implement machine learning into support business processes. Business process optimization....
From IBM - Tue, 06 Jun 2017 21:03:26 GMT - View all Austin, TX jobs
          Director, Data Scientist - KPMG - Seattle, WA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Seattle, WA jobs
          Senior Cloud Engineer/Big Data Architect / Data Science - Corporate Technology - New York, NY   
Perform data analysis with business, understanding business process and structuring both relational and distributed data sets....
From Corporate Technology - Wed, 14 Jun 2017 16:40:06 GMT - View all New York, NY jobs
          Nuit Blanche in Review (June 2017)   

Since the last Nuit Blanche in Review (May 2017) we've had three implementations related to Deep Neural Networks, a few in-depth post ranging from training nets to compressive sensing,  a dataset, two Paris Machine Learning meetups, one meeting announcement, several videos of talks and four job announcements. Enjoy !

Implementations

In depth

Book
Dataset

Paris Machine Learning meetup

Meeting
slides

Videos

Job:






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          The Challenges of Industry 4.0   

I interviewed Jeegar Shah who discussed The Challenges of Industry 4.0.

 

 

 

 

 

 

You’ve been a Microprocessor design engineer, co-founder of a SaaS startup in the life sciences space and then a management consultant with McKinsey & Co - so what brings you to Falkonry?

 

Hi, Dustin, first up thank you for having me - excited to be doing this. Before I give you a long twisted answer - let me just cut to the chase and get to the 3 reasons as to “Why Falkonry?” - this is one key trait that you’ll see with ex-McKinsey consultants.

 

  1. Well, The obvious promise - There’s been a lot of buzz about Industry 4.0 and the $11T IoT opportunity with 50B connected devices - you’ve heard all the pundits so I don’t need to repeat myself, but the take away here is that Industrial IoT holds the biggest promise - about $4T. Yes, there is hype and uncertainty but I am convinced we are at the cusp of something big.
  2. The geek factor - I’ve been around geeks that bump into glass doors and I’ve been around buttoned up professionals that can sell a Lamborghini while biting into a doughnut. I am personally more comfortable around geeks - I’ve come around working with people who have bruised foreheads. And the geek factor at Falkonry hits the roof!! Yah not even the glass doors.
  3. The product - Machine learning/ pattern recognition may be buzz words but I was sold when I learnt about Falkonry. It all made sense. It was intuitive and I could connect the dots. Fortunately, my HW and SW background perfectly fit into the Falkonry product journey. Seemed like the best way to put my engineering, product and management consulting experience into practice.

 

Well, that’s 3 reasons but I did end up giving you a long twisted answer. Guess I was never cut out to be a management consultant after all and another reason why I am here.

 

In your opinion, what are some of the ways of capturing value from Industry 4.0 applications?

 

There really isn’t a text book answer for this and the answer will vary depending on the subject and context at hand. But if I were to generalize I would say:

 

Digital enablement:  In my opinion providing a digital gateway to manufacturing can accelerate existing lean processes, and help to build a data-driven mindset, thus laying the foundation for more advanced technologies that will in turn pave the way for efficiencies and optimizations needed for Industry 4.0 to succeed. Digital dashboards for example help support performance analysis to achieve OEE improvement by increasing engagement of frontline operators and management. People often don’t realize that performance data usually persists beyond the shop-floor whiteboard. It supports normalized calculations and reporting, allowing KPIs across previously siloed functions, plants, and business units to be shared and benchmarked for consistency and best-practice sharing

 

Automation: When we talk automation, we imagine robots taking over the floor and displacing humans. Yes, for sure we expect significant adoption of robots on factory floors. This trend is expected to further accelerate because of advances being made in sensing the data (and hence the buzz on sensors) and making sense of the data (which leads us to the discussion on Artificial Intelligence). So it’s not just the invasion of robots and automation on the factory floors. Automation can also apply to decision making, resource allocation, demand forecasting, order management, etc

 

Throughput optimization: Factories stay competitive by maximizing throughput and managing costs. So the digitized data that we spoke of before can be used for process control systems to optimize yield. Now, in manufacturing operations, a lot of operational intelligence characterized by time series data stays hidden. Identifying bottlenecks OR processes that are largely responsible for impacting quality OR levers that impact the yield are hard to decipher for a human. Throwing the right technologies to get a better real time measure of operational efficiency can lead to higher throughput and higher profits.

 

Predictive maintenance: Predictive maintenance typically is geared to see an increase in machine availability and a reduction in maintenance costs – based on the introduction of new predictive maintenance algorithms. Companies need three components to be successful in predictive maintenance: knowledge of the respective asset, strong advanced analytics know-how (such as machine learning), and the appropriate change management capabilities.

 

If you notice, all these capabilities are not orthogonal to each other. Digital enablement leads to Predictive maintenance which is turn leads to Throughput optimization. Automation is needed to ensure scalability of all these capabilities. But the take away here then is that a disciplined, data-driven and measured approach are the key enablers to Industry 4.0.               

                              

You mentioned Industry 4.0 and the buzz. So where do you see some of the challenges?

 

Industry 4.0 has raised definitely high expectations, and not all have been met yet. And there definitely is the accompanying buzz of Operations optimization, predictive maintenance, inventory optimization, health and safety - you name it - not all of which has been measured in terms of expectations and measures of success. Everyone, wants a magic wand. But Industry 4.0 implementation is a multiyear process, and more applications will develop as technologies mature further. It is imperative that manufacturers across the world start now with a set of concrete applications.

 

There’s been a degree of disillusionment in the actual implementation and results so far are mixed. On the one hand, we still see high uncertainty among manufacturers regarding what implementing Industry 4.0 really requires of them – and many are still struggling to even get started. On the other hand, most technology suppliers have moved relatively fast in adjusting for Industry 4.0. Very few technology providers and manufacturers have an overall strategy in place and even fewer have assigned clear responsibilities and goals.

 

Industry 4.0 requires a plethora of technology requirements - both IT and OT. Whenever you have a confluence of varied technology stacks, you can easily find yourself in implementation mayhem where half-baked solutions that are often patchy and in hindsight the solution stack not scalable or portable. Executives are driving Industry 4.0 strategies without understanding and appreciating the nuances and limitations of machine learning, big data, OT/IT protocols, connectivity standards, etc. For eg. executives clamor for more data and throw resources at big data technologies. Big data is more often dumb data with little contextualization. The secret lies in marrying human experience with algorithmic power to identify patterns that are more conclusive, useful and actionable.

 

 

I guess you are heading somewhere with that - and so how do you think Falkonry fits the bill here?

 

Yah, sure! But before I get started with that - let’s dig a little deeper into the motivation. Peter Thiel in his book “From zero to one” - picks up on an interesting discussion. There’s this ominous outlook and concern of AI and machines taking over the world, humans being replaced from their jobs and Skynet beaming humans out of existence. This all calls for some interesting science fiction but he cites several examples where human skills are complementary to opportunities that can be enabled through computers and AI. Machines can toss gigabytes around but aren’t as great at making judgements. Case in point, you can train a model to recognize cats with 90% accuracy after scrumming through thousands of training images but that’s something a 4 year old can do easily.

 

Falkonry builds up from this premise. While Falkonry can use advanced signal processing and machine learning techniques to identify temporal patterns in time series data, the data gets enriched when a subject matter expert annotates his experience on top of those temporal patterns. With a more contextual perspective to these patterns, it suddenly makes much more sense. Thus, Falkonry is a tool for subject matter experts - a tool that empowers them to cut the cord of dependence on data scientists and programmers that work in their own bubble. It also helps minimize context that is lost in translation as humans talk to each other and instead provides a paintbrush for subject matter experts that understand the operational data best.

 

So to sum it up, the answer maybe lies in the fact that it would be misleading to look for an all encompassing solution that works as a magic wand - A wand that would minimize human interaction and propel us into an automated world of connected devices that make smart decisions. What’s really needed is a way to equip, enhance and complement human judgement with better data enabled decision markers - and that’s Falkonry to the Industry 4.0 challenge.

 

 

About Jeegar Shah

 

 

 

 

 

Jeegar Shah

 

Sr Director at Falkonry

 

LinkedIn Profile

 


          Why is it hard to find insights in operations & time series data?   

I interviewed Nikunj Mehta who discussed Why is it hard to find insights in operations & time series data?.

 

 

 

 

 

 

Today we are speaking with Nikunj Mehta, who is the founder and CEO of Falkonry. Falkonry does intelligent pattern recognition for operations effectiveness. We are going to be discussing why it's hard to find insights in operations and time series data. Nikunj, can you first provide a brief background of yourself?

 

I'm a long-term time series geek, and I have been helping companies gain insights in their operations data. And I'm also an enterprise software architect. For a long time, I've realized that the industrial world is where there is a lot of action in terms of interpreting data that they produce and understanding what it means.

 

Can you talk more about why you decided to do this kind of work?

 

I think it's evident, as see industrial IoT and a lot of these machine-learning buzzwords take place in the marketing world, that there is a lot of pent-up demand for extracting insights from operations data. Much of this data that is automatically collected tends to be of a time-series nature. For example, the way temperatures inside rooms change or the way in which electrical wiring varies in terms of the current it conducts over time. And operations is all about behaviors and behaviors that are all happening over time. So in order to understand how we can do better in our industrial and other production operations, we need to have a sense of what's going on as well as what's about to happen. And that requires understanding time series behaviors.

 

When I was at my previous employer, I saw a very large company struggle with making sense out of their time series data, and I realized then that the software world had done very little to actually assist these operations experts to interpret the data that they were producing. And I saw that there was a very broad opportunity to help them and realize that one of the best ways to help them was through starting a company, Falkonry.

 

Who cares most about this?

 

These are operations experts. Many of these go by titles like process engineers or manufacturing engineers. It's their job to gain improvements in operational efficiency, to continuously improve whatever it is that the production is about — whether it is power or widgets or internet service or, for that matter, even healthcare outcomes that people feel happy about.

 

Because they're constantly striving to improve operations, they're looking for ways to understand where those opportunities lie, and that requires that they gain new insights from wherever. It could be science or it could be data. One of the harder aspects of the improvement business is that after a while, there are no easy low-hanging-fruit type of opportunities left. All that's left is the hard stuff. And we think that in the industrial world, that's where people are at, that everything ahead of them is hard. And at the same time, they know that because it is relatively cheap to collect data, computation is so cheap, software is increasingly seen as an answer for a lot of problems, and most importantly, you pay as you go. So you don't have to make a huge investment up front. These people have been trying to figure out how can we benefit from it. So we're working with people in manufacturing, in industrial operations, transportation, and others, who have a lot of need to gain insights from their time series data.

 

Can you talk about how things have been changing and whether it's getting easier now?

 

I [inaudible 00:04:08] some of the general trends that are happening in and around computers and software. So certainly that's happening. Another important thing that has happened is software for analyzing data has become a lot more pervasive. And many techniques for analyzing software have emerged to a point where people see a likely solution for time series data as well.

 

Now there has also been a substantial crossover effort.People who would have traditionally been focused on selling business process improvement techniques, such as what is common in enterprise software and data, where I come from, have realized that that's a shrinking market and there are large emerging and growing markets in the industrial world that need a lot of software. And so there's been this sudden, new influx of talent going into the industrial world that is looking at time series data, [inaudible 00:05:08].

 

Secondly, techniques that have in the past been applied to small problems, such as analyzing the cardiac function time series data to understand heart health, are now, through better computational techniques, being applied to solve very complex industrial problems, like understanding what is really going on in a power drive used in a manufacturing plant and be causing it to shut down improperly. Those techniques were just hard to apply to large problems. But software experts, such as those at Falkonry, are able to figure out how to solve these more complex problems using the same type of basic math.So that is one major improvement that has happened in the recent past.

 

And then, of course, various people are approaching it many different ways. Some try to make it easy for people to express what they are looking for. Others extract insights directly from the data and help people interpret it visually and provide some feedback and subject matter expertise back into the computer so that the system overall gets better over time.

 

Do you have any final recommendations for operations experts?

 

I would suggest people, that they take a look at time series techniques, especially those that focus on subject-matter-expert usage. It is very hard to solve problems through developers and data scientists because there are just not enough of them. And it's hard to translate the knowledge of subject-matter experts to a form that data scientists and developers can understand. So when looking for insights in operations data, look for techniques that are subject-matter expert friendly. Number one.

 

Number two, look for techniques that will surface insights automatically, rather than one where you have to do a lot of setup and provide a lot of input.

 

And then thirdly, look for techniques where you can solve problems and pay only for the value you're able to get based on the problems that are solved rather than an upfront major investment in new frameworks and technology platforms.

 

So those are my recommendations. And Falkonry, of course, embodies all three of them. It is designed for subject matter experts. It does not require a lot of upfront work on the part of the subject matter expert. And you only pay for the value you get. So that sort of creates a win-win for these operations experts and their businesses.

 

Thanks for sharing today, Nikunj.

 

 

About Nikunj Mehta

 

 

 

AAEAAQAAAAAAAAhvAAAAJDIzOGM3YjRjLTI1YzYtNGI4NC1iOTlmLTk5ZWQ5N2E2NTdmYQ.jpg

 

 

 

Nikunj Mehta

 

Founder and CEO of Falkonry

 

LinkedIn Profile


          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....
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          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...
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          Data Scientist - RBC - Toronto, ON   
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          Risk Based Data Scientist - Protective Life Corporation - Birmingham, AL   
Risk Based Data Scientist The Risk Based Analytics team of the Product Development division of Protective Life Corporation has an opening for a Data
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          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
          Manager, Research- Center for Observational Research & Data Sciences - Bristol-Myers Squibb - Princeton, NJ   
Proficient in SAS programming (3 years experience) to execute these studies. The Center for Observational Research and Data Sciences (CORDS) Scientist is an...
From Bristol-Myers Squibb - Thu, 11 May 2017 18:29:00 GMT - View all Princeton, NJ jobs
          Chief Compliance Officer - TrueAccord - San Francisco Bay Area, CA   
We deploy technology, machine learning, and data science to innovate and optimize how debt is collected. The Chief Compliance Officer (CCO) is responsible for...
From Indeed - Sat, 17 Jun 2017 02:01:35 GMT - View all San Francisco Bay Area, CA jobs
          Customer Support Specialist - TrueAccord - San Francisco Bay Area, CA   
Our Customer Support Team plays a key role in the success of the business; We deploy technology, machine learning, and data science to innovate and optimize how...
From Indeed - Mon, 05 Jun 2017 00:31:58 GMT - View all San Francisco Bay Area, CA jobs
          Data Scientist (Artificial Intelligence & Deep Learning) - Microsoft - Redmond, WA   
We help drive actionable business intelligence through advanced statistical modeling and business analytics across Microsoft....
From Microsoft - Sat, 13 May 2017 05:34:57 GMT - View all Redmond, WA jobs
          Sr. Manager, Advanced Analytics and Data Science - QuintilesIMS - Collegeville, PA   
Develop digital strategies that can be applied across multiple business lines and channels. Initiate digital strategies from identification of opportunity...
From QuintilesIMS - Wed, 19 Apr 2017 06:49:36 GMT - View all Collegeville, PA jobs
          Openwashing   

          Manager, Quantitative Analytics/Data Science - Scotiabank - Toronto, ON   
Assess the impact of GL reconciliation results on capital and critical risk reports. Join the Global Community of Scotiabankers to help customers become better...
From Scotiabank - Thu, 29 Jun 2017 18:49:25 GMT - View all Toronto, ON jobs
          Data Scientist and Machine Learning Researcher   

Overview

American Express is working on our company's next transformation - integrating into the digital universe and developing new forms of payment and lifestyle services. We have launched ...

          Pacific Gas and Electric Company: Data Scientist, Expert   
Competitive: Pacific Gas and Electric Company: CompanyBased in San Francisco, Pacific Gas and Electric Company, a subsidiary of PG&E Corporation (NYSE:PCG), is one of the largest combined natural gas and electric utilities in the United States. And wedeliver some of the nation's cleanest energy to our San Francisco, California
          Data Scientist senior   
Senior Data Scientist - • Develop segmentations, predictive models, and statistical insights using appropriate tools • Analyse data deeply to understand patterns and trends • Transform these insights into actionable reports, targeting algorithms, and personalisation filters • Understand key drivers of rules/model variation and communicate insights to regional and global executives • Institutionalise customer analytics in business processes and decision making, both strategic and tactical • Provide technical expertise in statistical analysis, mathematical modelling, data mining/machine learning • Partner with business units to challenge their thinking, provide direction • Work with global teams on ad-hoc projects and take a key role in international projects • Share best practices with analysts and managers located around the world • Have fun while driving innovation at one of the top brands on the Internet with the help of cutting edge technologies...
          Data Scientist - Drop - Toronto, ON   
Through our mobile app, users supercharge their debit and credit cards to automatically earn points on their every day spending at places such as Starbucks, Tim...
From Drop - Thu, 01 Jun 2017 02:38:43 GMT - View all Toronto, ON jobs
          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
          Manager, Quantitative Analytics/Data Science - Scotiabank - Toronto, ON   
Assess the impact of GL reconciliation results on capital and critical risk reports. Join the Global Community of Scotiabankers to help customers become better...
From Scotiabank - Thu, 29 Jun 2017 18:49:25 GMT - View all Toronto, ON jobs
          Data Scientist - AE - Heverlee   
Je vertaalt functionele en niet-functionele high-level vereisten naar een correcte decision support strategie (identificatie en combinatie van verschillende...
Van AE - Mon, 20 Mar 2017 05:28:59 GMT - Toon alle vacatures in Heverlee
          Prabhanjan Tattar - Practical Data Science Cookbook - Second Edition   
Более 85 рецептов, которые помогут вам выполнить реальные проекты в области данных с R и Python. Поскольку с каждым годом генерируется все большее количество данных, необходимость анализа и создания ценной информации из них важнее, чем когда-либо. Компании, которые знают, что делать с их данными и как это сделать, будут иметь конкурентное преимущество перед компаниями, которые этого не делают.
          Data Scientist - Drop - Toronto, ON   
Through our mobile app, users supercharge their debit and credit cards to automatically earn points on their every day spending at places such as Starbucks, Tim...
From Drop - Thu, 01 Jun 2017 02:38:43 GMT - View all Toronto, ON 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
          Data Scientist/Engineer - Wealthsimple - Toronto, ON   
Being a swiss army knife. Wealthsimple is Canada's largest and fastest growing online investment manager....
From WealthSimple - Fri, 30 Jun 2017 16:26:07 GMT - View all Toronto, ON 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
          Software Sales Hunter, Data Science Solutions - EXPERIAN - Texas   
SAS, FICO, Fiserv, Oracle, SAP, IBM, Amdocs, Pegasystems, Sungard, TIBCO, etc…) is preferred. Job Description - Software Sales Hunter, Data Science Solutions ...
From Experian - Sat, 22 Apr 2017 11:04:53 GMT - View all Texas jobs
          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
          Data Science Platform Developer - Iodine Software - Austin, TX   
Team player DNA with a desire to solve for the interests of our internal clients and of our business. Passion for exploring, applying and following the...
From Iodine Software - Fri, 30 Jun 2017 00:28:17 GMT - View all Austin, TX jobs
          Data Scientist   

          Experts: Data Science and Analytics Skills Essential for Minority Students   
By 2021, job candidates who possess skills in data science and analytics — or DSA — will be more than twice as likely to be hired as those who don’t.
          Data Scientist UI SDLC - TS/SCI Full Scope Poly / WSI Nationwide / Reston, VA   
WSI Nationwide/Reston, VA

Data Scientist UI SDLC - TS/SCI Full Scope Poly

Location: Reston, VA - USA

Salary: 125000 - 190000

Full Benefits: Yes

InterviewExp: Yes

ReloExp: Yes

Job Description

SENIOR CONSULTANT (FULL TIME EMPLOYEE) WITH ACTIVE TS/SCI AND FULL SCOPE POLYGRAPH (FSP)

Location: Reston VA, Washington DC Metro area

Developing electronic training systems

REQUIRED QUALIFICATIONS NEEDED:

Active TS/SCI Clearance with a Full Scope Polygraph

5+ years of experience working for an IT consulting firm

5+ years of current experience working on engagements centered around Data Science, Big Data, Analytics, User Engagement, User Interfaces, User Training, EW training solutions

Strong understanding of Software Development Life Cycles (SDLC)

COMPENSATION TARGETS: $125000 - $190,000. per year base salary+ bonus potential + exceptional benefits package + relo assistance

* Compensation is determined based on demonstrated performance and expertise during the interview process

When resumes are received, the candidate is contacted if there is a match, the situation is thoroughly described and the candidate tells us how they would like us to proceed. No information leaves our office without prior approval. This creates long term relationships, which we encourage.

WSI is a specialty recruiting organization with over twenty years experience and fees paid by our selected client companies, freeing our hands to find top level candidates for better projects all over the USA.

Employment Type: Permanent
Work Hours: Full Time

Pay: $125,000 to $190,000 USD
Pay Period: Annual

Apply To Job
          Data Science Platform Developer - Iodine Software - Austin, TX   
Team player DNA with a desire to solve for the interests of our internal clients and of our business. Passion for exploring, applying and following the...
From Iodine Software - Fri, 30 Jun 2017 00:28:17 GMT - View all Austin, TX jobs
          IT Management Trainee - Cargill - Schiphol   
IT Management Trainee at Cargill. IT Management Trainee opportunity candidates will have an interest in different opportunities like Data Science, Business...
Van Cargill - Thu, 08 Jun 2017 16:44:00 GMT - Toon alle vacatures in Schiphol
          Three Israeli Startups Make List of Cool Vendors for 2017   
Featuredimage_2015-11-10_162437_YouTube_Iranian_HackersEmpow, SafeBreach and Optimal+ were among Israeli companies cited in information technology research and advisory company Gartner’s 2017 Cool Vendors listing. Each year Gartner releases its Cool Vendors picks based on its research into worldwide providers that are changing the digital paradigm in areas such as data science and machine learning, threat management, IoT, analytics, artificial intelligence […]
          Java Data Science Cookbook   

eBook Details: Paperback: 372 pages Publisher: WOW! eBook (March 28, 2017) Language: English ISBN-10: 1787122530 ISBN-13: 978-1787122536 eBook Description: Java Data Science Cookbook: Recipes to help you overcome your data science hurdles using Java

The post Java Data Science Cookbook appeared first on WOW! eBook: Free eBooks Download.


          Scientific Data Scientist   
Vector Recruitment Limited - Royston, Hertfordshire - We are looking for ambitious Data Scientists with experience of drawing insight from a diverse range of scientific data to join an award.... If you want a varied and interesting role that challenges and ultimately rewards you, this is the position for you. The Data Scientists will work...
          Data Science Analyst   
Aspire Data Recruitment - Sheffield - Job Title: Data Science Analyst Location: Sheffield Salary: £30,000 - £45,000 plus bonus and benefits Our client, a Telematics company... based in Sheffield are looking to recruit a number of Data Scientists to join their expanding team. The Data Science team defines the...
          Data Scientist - Hitachi Consulting Services Canada Corporation - Toronto, ON   
Applies intellectual curiosity and deep analytical thinking to mine large data sets for hidden gems of insight and correlation....
From Hitachi - Sat, 01 Jul 2017 11:50:16 GMT - View all Toronto, ON jobs
          IT Management Trainee - Cargill - Schiphol   
IT Management Trainee at Cargill. IT Management Trainee opportunity candidates will have an interest in different opportunities like Data Science, Business...
Van Cargill - Thu, 08 Jun 2017 16:44:00 GMT - Toon alle vacatures in Schiphol
          Tableau Support Services   
If your goal is to become a data scientist, the basic step one should opt for is to learn tableau. I must say your internal customers (marketing, sales, operations) will be using tableau or something similar. Let's give a brief space to what tableau exactly is. Tableau is a Business Intelligence (BI) tool that can help you create beautiful and visually-appealing reports, charts, graphs and dashboards using your data. This data visualization software is extremely fast and easy to use as it has a drag and drop interface. Tableau helps you visually analyze your big data and it can be great catalyst in helping you solve representation of data and also can be very helpful in finding solutions to a lot of problems. You only have to invest few weeks for learning tableau and you will take another precious steps towards your success. Contact Information 209, Phase-4 Udyog Vihar, Gurgaon INDIA Mobile: 9810083546 India: 98110 50802 Landline : +91-124-4088844 USA: 408 844 3702 Email : sf@rowalim.com
          Big Data Analytics �" Foundation   
Big Data Analytics – Foundation A specialist course tailored by Ram Morla About Ram Morla: Ram Morla is an experienced IT leader poised for success in a new all-encompassing role that utilises extensive knowledge of enterprise architecture, data architecture, master data management and information architecture across a multitude of industries including Banking, finanace, Insurance, manufacturing, media, digital, supply chain, food aggregation, regulatory compliance etc... He is founder of Answers, Decisions and beyond- A Startup based in UK, Xbean a Consulting company... worked in many countries including UK, USA, Denmark, Sweden, Netherlands, Germany in many industries Eg: Automobile, Banking, Insurance, Telecom, Investment banking etc... Course Duration: 7 Weeks-3 days a week Online (2 hours a day) Course HighLights: Module 0 Big Data Hadoop , Non Hadoop FrameWorks Fundamentals of BigData Hadoop MapReduce and YARN Mongo DB Module 1 Data Science Foundation of DataSciences BigData Software Tools R Basics Python Introduction to Python R Module 2 Predictive Analytics Big Data Eco-System Machine Learning for Prediction Advanced Analytics for Big Data Attend Free Demo session with Mr.RamMorla. For More Details Contact: SivaPrasad, +91- 9036180777, 9686238647
          Data Science Engineer - Performance Advertising - A9.com - Palo Alto, CA   
At least 2 years applying Machine Learning techniques to solve business problems. Be a member of the Amazon-wide Machine Learning Community, participating in...
From A9.com - Tue, 20 Jun 2017 05:00:34 GMT - View all Palo Alto, CA jobs
          Data Science Performance Engineer, Search Platform - A9.com - Palo Alto, CA   
At least 2 years of experience applying Machine Learning techniques to solve business problems. Work with Amazon Web Services to improve their machine learning...
From A9.com - Thu, 15 Jun 2017 20:40:02 GMT - View all Palo Alto, CA jobs
          Data Sciences Engineer - Sponsored Products - A9.com - Palo Alto, CA   
Be a member of the Amazon-wide Machine Learning Community, participating in internal and external Meetups, Hackathons and Conferences....
From A9.com - Wed, 03 May 2017 01:36:05 GMT - View all Palo Alto, CA 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
          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
          Principal Data Scientist - Microsoft - Redmond, WA   
We are a horizontal team and need each DS to lead and drive their projects. The Microsoft Support Engineering Group (MSEG) is part of Universal Store Team (UST)...
From Microsoft - Sat, 13 May 2017 05:34:59 GMT - View all Redmond, WA 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
          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
          Verizon's plan to create a data powerhouse to challenge Facebook and Google is fraught with challenges   

switchboard telephone operatorWikimedia Commons

Verizon, or more specifically it's newly formed digital media division Oath, has an intriguing new plan. It wants to put together a wireless data powerhouse in its quest to challenge Facebook and Google in digital advertising.

Specifically, the company wants to rent reams of consumer data from major competitors like Sprint, T-Mobile, Vodafone and Telefonica that can be used for ad targeting.

Call it the Hulu of wireless data.

Besides the unusual competitive politics involved in such an undertaking (who's in charge? How are we getting paid), it's worth asking, what would such an arrangement look like when it comes to execution? Just how hard is this going to be from a technical perspective? Business Insider talked to some experts about what Oath will be facing in putting such an endeavor together.

Here are some of their big questions:

How hard will it be to mix different data from different wireless companies?

Austin Wright, senior vice president of strategy at the data-centric marketing firm Ansira, said that just stitching together the multiple data sets together will be a Herculean challenge, since each provider "may be supplying data at different levels." For example, one carrier may supply more granular numbers on its customers, while another may provide summarized data, or data on broad segments of consumers.

"Let’s say Verizon’s data is tracked on zip code, and T-Mobile is based on households," said Jeff Smith, chief marketing officer at LiveRamp, which helps marketers move data between different systems. "That's not that simple. It's not just a few more columns in the spreadsheet."

Plus, some carriers may estimate portions of their consumer data, Wright said, while another may focus on more raw numbers. And some data may come from households with multiple accounts, such as family plans.

"All of which further complicates matters," Wright said.

How with the data integration actually work?

Smith said that Oath and its would-be partners have to figure out whether they will mix and match the data themselves, or do so virtually using a third party tech company. Doing it yourself can be messy, he explained. 

You either need a third party that has built software designed to reconcile reams of data, or you "need some data scientists," he said. Smith pointed to comScore's acquisition of Rentrak last year as a model of how big companies with big data sets were able to mesh them together quickly with the help of third parties.

Smith estimated that working with an outside vendor could take Verizon and company six to nine months to make its mixed data sets useful, while the DIY option could take more than a year.

Servers for data storage are seen at Advania's Thor Data Center in Hafnarfjordur, Iceland August 7, 2015. REUTERS/Sigtryggur Ari Thomson ReutersBeside the data blending, what about security?

Steven Wolfe Pereira, chief marketing officer at Neustar, a tech company specializing in data management, noted the recent string of cyber attacks as making security concerns even more paramount.

That means that Oath and friends will not only have to make sure that nobody's real names or addresses are shared among partners or with the outside world, but also have to take steps to ensure that whatever consumers have or have not permitted individual carriers to track is respected even as advertisers look to run big campaigns that employ data from multiple carriers.

"For example, there will have to be a way to make sure that advertisers can control how frequently they show people messages and don't creep people out," said Wolfe Pereira.

Another security issue of importance is making sure that carriers don't learn too much about their competitors' customers. "You don't want Sprint to start prospecting T-Mobile's customers," said Smith. 

microsoft excel spreadsheetShutterstockAll that being said, if Oath actually pulls this off, will marketers be interested?

"Yes!," Wright said. "Most advertisers are continually serving up most of their ad budget to a handful of sources ...They want other options."

"Email addresses, web cookies, these are fractional identifiers for marketers," said Wolfe Pereira. "But the phone number is one of the most persistent identifiers, and it can be tied to a bill in your home. You can theoretically track people's online and offline behavior."

That has powerful applications for ad targeting, he said. "When it’s anonymized, and done the right way, it's a really smart play."

NOW WATCH: JPMorgan Chase explains why it pulled ads from YouTube and Megyn Kelly's show, and reveals a unique strategy it uses to combat fake news


          Data Scientist - AE - Heverlee   
Je vertaalt functionele en niet-functionele high-level vereisten naar een correcte decision support strategie (identificatie en combinatie van verschillende...
Van AE - Mon, 20 Mar 2017 05:28:59 GMT - Toon alle vacatures in Heverlee
          Data Science Apprentice - Predictive Science - United States   
Having additional data entry job experience, being a fast and accurate typist, and familiarity with MS Office and other data programs is a great plus....
From Predictive Science - Sat, 11 Mar 2017 08:05:32 GMT - View all United States jobs
          EPJ Data Science Highlight - Are your tweets feeling well? Opinion and emotion in tweets change when you get sick   
>©Max Pixel (edited)
©Max Pixel (edited)

Can we tell if a person is physically ill by the way they tweet? On a recently published article in the journal EPJ Data Science, researchers at the Pacific Northwest National Laboratory uncover links between the health of users and the emotional tone of their social media output.

Guest post by by Svitlana Volkova, originally published on SpringerOpen blog

Any doctor or nurse knows good public health begins with prevention. Whether it’s a severe strain of the flu or mental illness, identifying the need for help early can save lives. Social media could be the game-changing solution public health workers have been looking for. Whereas traditional data from clinics may take weeks to collect, social media streams in real time. In other words, public health workers could monitor social media like a heartbeat, and take action before people visit a doctor.


          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
          Prabhanjan Tattar - Practical Data Science Cookbook - Second Edition   
Prabhanjan Tattar - Practical Data Science Cookbook - Second Edition

Более 85 рецептов, которые помогут вам выполнить реальные проекты в области данных с R и Python. Поскольку с каждым годом генерируется все большее количество данных, необходимость анализа и создания ценной информации из них важнее, чем когда-либо. Компании, которые знают, что делать с их данными и как это сделать, будут иметь конкурентное преимущество перед компаниями, которые этого не делают.

          Data Scientist   

          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 - AE - Heverlee   
Je vertaalt functionele en niet-functionele high-level vereisten naar een correcte decision support strategie (identificatie en combinatie van verschillende...
Van AE - Mon, 20 Mar 2017 05:28:59 GMT - Toon alle vacatures in Heverlee
          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
          Comment on Text Classification for Sentiment Analysis – Eliminate Low Information Features by Comprehensive list of data science resources | causality.io | causality.io   
[…] Text Classification for Sentiment Analysis – Eliminate Low Informat… […]
          Study of data science   

Study of data science

If you wish to study data science, then should you pursue a specialist degree in this discipline at the Bachelor’s level or at the Master’s level following a …

Link to Full Article

[Link to Full Article]
          Topical issues   

Topical issues

EPJ Data Science: Topical issues. [Link to Full Article]

          Data Science Architect (C3 IoT)   

          Principal Data Scientist - Microsoft - Redmond, WA   
We are a horizontal team and need each DS to lead and drive their projects. The Microsoft Support Engineering Group (MSEG) is part of Universal Store Team (UST)...
From Microsoft - Sat, 13 May 2017 05:34:59 GMT - View all Redmond, WA jobs
          Data Scientist   

          Sr. Data Scientist   

          Director, Data Scientist - KPMG - Santa Clara, CA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Santa Clara, CA jobs
          Director, Data Scientist - KPMG - Atlanta, GA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Tue, 16 May 2017 08:29:26 GMT - View all Atlanta, GA jobs
          Data Scientist - IBM - Austin, TX   
Opportunities to implement machine learning into support business processes. Business process optimization....
From IBM - Tue, 06 Jun 2017 21:03:26 GMT - View all Austin, TX jobs
          Director, Data Scientist - KPMG - Seattle, WA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Seattle, WA jobs
          3 Key Pillars of the Modern Enterprise   

What runs the modern enterprise?

“It’s not what you know. It’s what you do with what you know.”

So says Daniel Newman in a January 2017 Forbes article. This pretty well sums up the quest for the modern enterprise to use all the data available to drive increased productivity, reduced costs, business innovation, and personalized customer experiences.

Businesses that do invest in developing big data capabilities are finally starting to see results. In fact, Randy Bean at Harvard Business Review reports that, for the first time since he began surveying Fortune 1000 companies in 2012, almost half now say their businesses are “achieving measurable results from their big data investments.” Where are they finding value in big data?

  • Almost 50% have decreased expenses.
  • Almost 45% have found new innovation avenues.
  • Just over 36% have launched new products and/or services.
Business Must Move Fast

To capitalize on big data, businesses can’t take their time analyzing it; they can’t bring in consultants or experts, run reports, consolidate the data for six to nine months, and then make a business decision. The business will die. To keep the business not just alive, but growing, it’s imperative to make decisions in real time.
 
Doing this requires three components, or pillars: data, users, and applications.

Building the Modern Mobile Enterprise: 3 Key Pillars

The first of these three components is data, and this is the foundation of the other two.
 
Data

Data is produced by activity. Every time an employee or a customer completes some activity, there’s the potential to collect information about that activity. If that data is collected, it can be used to mitigate risk, modify and improve business processes, respond to customers faster, or create new products and services to meet a need.
 
With the growing use of the Internet of Things (IoT), machine learning, artificial intelligence, predictive analytics, and more, the collection of data creates more data. In a recent Network World article, Ash Ashutosh expanded on this idea:
 
“…there is a constant iterative process of data creation, processing, analysis and sharing/selling. Data created by an IoT sensor or social media app has little value at the time of creation. The value increases exponentially when it is then used to develop applications, further analyzed for targeted outcomes, and sold to consumers or other vendors. Even the database in an Oracle Exadata appliance becomes more business critical as hundreds of developers and data scientists need to access and analyze the data.”
 
Users

That brings us to the second pillar: users. When it comes to data, the most important information businesses want is customer insights. They want to know as much as they can so that they can develop targeted products, services, solutions, and experiences. It doesn’t matter whether the customer is a consumer, a business, or an internal stakeholder—that is, an employee.
 
Customers of every kind now expect a highly responsive experience. When they are looking for a product or service, searching for information, or completing a transaction, they expect a real-time experience. And businesses are meeting this demand by creating more responsive apps—the third key pillar for the modern enterprise.
 
Apps

The apps are the interface between the data and users. In the modern mobile world, businesses need to interface with customers with any device, through any type of app. These applications—like IoT sensors or mobile apps—are the conduit for gathering data and processing it to deliver what the user wants and needs.
 
We now have the three pillars: We have the users who are creating activity. That activity creates data. That data is then transferred by an application to systems that can process it in real time and respond to the user, again via the app. So how does a business make it all work together? It’s all about the infrastructure.

Help Wanted: A Single Integrated Platform

In the late 20th century, data was siloed. Finance wanted to report numbers. Manufacturing wanted to improve a process. Sales was looking for insights to drive opportunities. Marketing began to use data to measure its influence on the bottom line. But businesses can’t afford to assemble disparate systems and then take months to launch a new application or analytics service.
 
Businesses run on information—data—and most of it lives in databases that power business growth. But how can businesses make sure they, as well as customers, are getting the most from these insights?
 
Every function in the enterprise today must be able to access data, and process that data from a single platform. Systems need to converge—and that has created problems for companies. Many enterprises still have legacy or multi-vendor architectures. The typical approach to building a database infrastructure to manage data is to use the same generic servers and storage as elsewhere in the data center—but databases are not generic workloads. Generic infrastructure can create problems that delay application deployment and query response times, affecting business and revenue growth.
 
Oracle helps companies overcome this challenge by offering cloud-ready engineered systems which are uniquely optimized for Oracle software, enabling enterprises to streamline and modernize their infrastructure. And only Oracle provides a single architecture with three consumption models: on premises, public cloud, or public cloud behind your firewall enabling you to deliver superior results today, with cloud insurance for the future to deal with structured and unstructured data. What Oracle offers is essentially an infrastructure version of the smartphone. With your phone, you turn it on, and it works; all the apps are there. You can download what you want. You don’t have to worry about configuring anything or setting up any hardware. Everything is optimized to run on the OS, and run the apps.
 
The infrastructure we’re bringing is purpose-built to run the Oracle database and applications. If you’re going to run the Oracle database, take the infrastructure that’s been optimized and co-engineered with the Oracle database and applications. Software is integrated under the hardware specifically for the Oracle database and applications, and that’s what we’re bringing with the cloud-ready engineered systems  that Oracle delivers. And if you want to move to the cloud, all you have to do is say, “Okay. Move my database to the cloud.”

Major Bank Optimizes the Three Pillars to Drive Innovation

Caixa Bank is a shining example of how business can optimize its investment in big data. As Spain’s largest domestic bank, serving 14 million customers, Caixa was looking for new models to serve a changing market, including the millennial customers who expect to conduct business digitally. Using the Oracle Big Data solution that includes Exadata, Big Data Appliance, and Exalytics, Caixa can load the data into the environment best suited for the type of data or the way it’s received, and use that data to develop applications independently, no matter where the data is located.
 
Responding to the demanding financial business environment, Caixa is capturing data in real time from its customers. It’s now able to take big data and apply it to every department of the bank. For example, it uses the data to provide personalized offers to individual customers, and to create predictive models that improve risk management. Watch their story here:

Helping Enterprises Realize the Potential of Big Data

Cloud-ready engineered systems help bring together data, users, and apps—the three key pillars of the modern enterprise. They simplify and modernize the enterprise, unleashing the power of data to make better business decisions, deliver a better customer experience, and adapt to a fast-moving business environment. I believe we’re helping businesses become the agile organizations that will survive and win.

To learn more about how your company can flourish in the Data Capital Economy, read the MIT and Oracle collaboration on the Rise of Data Capital.


          Spreading the Wealth of Data Capitalism   

Today's guest blog comes from Oracle's Big Data Strategist Paul Sonderegger.

Two weeks ago The Economist's cover article was about the data economy. It declared data the world’s most valuable resource and pointed out that “the five most valuable listed firms in the world” are data-heavy technology companies.

The Economist is not alone in marveling at both the value of data and how concentrated its benefits are. A recent Organization for Economic Cooperation and Development (OECD) paper showed that average productivity growth among the top 100 most productive manufacturers was 3.5%, while the rest of the entire market was at 0.5% The gap is even bigger in the services sector.

One of the things that helps this small group of firms consistently become more productive than their rivals is their creation and use of unique stocks of data capital. Data capital assets do not diffuse to rival firms.

This is a critical insight. If your whole data science team walks across the street to the competition, they take with them crucial experience to create better algorithms. But they can’t take your data, forcing the new algorithm to find its own fuel. 

Is the data economy, then, destined to benefit only a few elite firms? No. Despite the landscape today, data trade and data liquidity will spread the benefits among more businesses.

Data trade, the buying and selling of data to create new businesses and streamline existing operations, has been going on for decades. Credit bureaus, for example, were early data traders, selling consumer financial data to assist banks’ lending decisions. But with new sources of data and demand to use it, data trade is exploding.

Oracle Data Cloud contains 5 billion global consumer profiles with 40,000 different attributes sourced from over 15 million websites. It also has 400 million business profiles and $3 trillion in consumer transactions. This data, originating with one group of firms, can be purchased by others to improve the efficiency of marketing dollars, better inform consumer product launches, or redesign social media publishing strategies.

The same old story about using more data to make better decisions gets a twist. Data created by one company gets used in another, in ways the first never imagined.

Data liquidity, getting the data you want into the shape you need for the task at hand, is an imperative for any company creating new digital products and services. But having data spread across diverse repositories, like Hadoop clusters and NoSQL, graph, and relational databases gets in the way. The pressure to use data in diverse algorithms, analytics and apps multiplies the problem exponentially.

Moving to the cloud is the fastest way to remove these barriers. But not all companies can instantly move all computing jobs to a public cloud. This is why Oracle offers a full range of Cloud at Customer machines, basically racks of Oracle’s cloud that run in your data center, fully managed by Oracle and with subscription pricing. No other technology company offers this.

The benefits of exploiting data capital to create competitive advantage are real, but highly concentrated today. Oracle’s reinvention of enterprise computing as a set of services that are easy to use and buy promises to bring these benefits to all firms, not just the global superstars.

Paul Sonderegger is Oracle’s Big Data Strategist and leads the company’s work on data capital. Prior to joining Oracle, he was Chief Strategist at Endeca, a discovery analytics company, and a Principal Analyst at Forrester Research. Paul has a Bachelor of Arts degree from Wake Forest University.

Keep up with the latest on the data capital economy and follow Paul on Twitter: @PaulSonderegger and LinkedIn: www.linkedin.com/in/paulsonderegger. Read his latest research with MIT, "The Rise of Data Capital" or join him on Wednesday June 28th for the Oracle Big Data Cloud Machine event with Cloudera and Intel.


          3 Cloud Skills You Need to Get Hired   

In a recent blog post on cloud competency, we put the spotlight on three key cloud skills that companies are looking for on candidate resumes - cloud security, container support, and cloud enterprise application development. Being proficient in developing cloud-native applications and knowing how to secure workloads in a cloud-driven world is critically important, but those aren't the only skills that IT hiring managers are looking for. Here we highlight additional cloud skills that, when mastered, enable IT professionals to help their companies lay the foundation for successful cloud deployments.

Enterprise Cloud Migration

The concern that companies have about migrating business processes and related data off of their on-premises infrastructure is legitimate. For example, standard lift-and-shift transitions can often be fraught with messy and disruptive handovers. As we noted in an earlier blog post, Oracle typically recommends that companies take an application-by-application approach to ensure a less disruptive migration to the cloud.
 
Still, the skills required to support a successful migration are significant. And considering how many companies are planning to make the leap, the demand for cloud migration experts will continue to grow.
 
Last year, Cloud Tech listed migration as a top five cloud skill. Cloud pros will need to understand different cloud deployment models to give their employers more deployment options. They will also need the chops to unravel the existing infrastructure to map applications and workloads to the new system.
 
Integration Architecture

Integration architects are generally tasked with knowing how to integrate data into a specific IT architecture, and that includes cloud. It's not surprising then that this skill is in demand along with enterprise cloud migration.
 
Companies that are replacing their on-premises data centers with cloud-based solutions will discover that employing professionals with these skills is critical to their success, noted a blog post in Strategic IT Staffing. The job requires “a measure of database modeling knowledge combined with the understanding of the technical architectures consuming this information.”
 
Finding IT pros with the skills to fill the jobs available is becoming increasingly difficult. Last November, CIO ranked integration architect among the 10 hardest jobs to fill. Positions can take up to 70 days to fill!

Database and Big Data

While not necessarily a cloud-specific skill per se, big data tops the list, and here's why: InformationWeek noted in a recent article that many companies that are trying to figure out how to take advantage of big data, are doing so in the cloud. It recommended that IT pros who want to reach the top of the list of big data job applicants look into topics surrounding Hadoop, Spark, and NoSQL.

Ample big data opportunities exist because many organizations haven't truly capitalized on this yet. Early last year, when Datamation reported that the adoption of big data analytics hadn't quite crossed the chasm yet, it pointed out that one of the major barriers was that big data skills and knowledge are lacking. Yet this article also cited a Dresner Advisory survey report saying that almost 70% of respondents had near-term plans to implement big data technology, so the need is still very much there.
 
Solutions like Oracle's Big Data Appliance help enterprises realize big data results faster, without the time and cost of having to go through a big data science project. Companies that have acquired the talent with knowledge in big data and integration architecture can work with Oracle Big Data Cloud Service for Hadoop and Spark delivered as a service. What's more this cloud service can integrate with existing enterprise data in Oracle Database or Oracle Applications.

I imagine these cloud skills are just the tip of the iceberg. Technology will continue to evolve, but until the machines truly take over, we still need talented human beings to harness this technology - and that's good news for all of us. 


          Data Scientist - AE - Heverlee   
Je vertaalt functionele en niet-functionele high-level vereisten naar een correcte decision support strategie (identificatie en combinatie van verschillende...
Van AE - Mon, 20 Mar 2017 05:28:59 GMT - Toon alle vacatures in Heverlee
          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
          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
          Data Science Apprentice - Predictive Science - United States   
Having additional data entry job experience, being a fast and accurate typist, and familiarity with MS Office and other data programs is a great plus....
From Predictive Science - Sat, 11 Mar 2017 08:05:32 GMT - View all United States jobs
          Data Scientist - Hitachi Consulting Services Canada Corporation - Toronto, ON   
Software experience with Informatica and EBS. About Hitachi Consulting Corporation....
From Hitachi - Sat, 01 Jul 2017 11:50:16 GMT - View all Toronto, ON jobs
          Data Scientist   

          Data Scientist with Machine Learning   

          Senior Data Architect - ASRC Federal - Moorestown, NJ   
Senior Data Architect. ASRC Federal Mission Solutions (AFMS) is seeking a Senior Data Scientist/ Architect to join its professional engineering team developing...
From ASRC Federal - Sat, 03 Jun 2017 01:36:31 GMT - View all Moorestown, NJ jobs
          Verizon's plan to create a data powerhouse to challenge Facebook and Google is fraught with challenges   

switchboard telephone operatorWikimedia Commons

Verizon, or more specifically it's newly formed digital media division Oath, has an intriguing new plan. It wants to put together a wireless data powerhouse in its quest to challenge Facebook and Google in digital advertising.

Specifically, the company wants to rent reams of consumer data from major competitors like Sprint, T-Mobile, Vodafone and Telefonica that can be used for ad targeting.

Call it the Hulu of wireless data.

Besides the unusual competitive politics involved in such an undertaking (who's in charge? How are we getting paid), it's worth asking, what would such an arrangement look like when it comes to execution? Just how hard is this going to be from a technical perspective? Business Insider talked to some experts about what Oath will be facing in putting such an endeavor together.

Here are some of their big questions:

How hard will it be to mix different data from different wireless companies?

Austin Wright, senior vice president of strategy at the data-centric marketing firm Ansira, said that just stitching together the multiple data sets together will be a Herculean challenge, since each provider "may be supplying data at different levels." For example, one carrier may supply more granular numbers on its customers, while another may provide summarized data, or data on broad segments of consumers.

"Let’s say Verizon’s data is tracked on zip code, and T-Mobile is based on households," said Jeff Smith, chief marketing officer at LiveRamp, which helps marketers move data between different systems. "That's not that simple. It's not just a few more columns in the spreadsheet."

Plus, some carriers may estimate portions of their consumer data, Wright said, while another may focus on more raw numbers. And some data may come from households with multiple accounts, such as family plans.

"All of which further complicates matters," Wright said.

How with the data integration actually work?

Smith said that Oath and its would-be partners have to figure out whether they will mix and match the data themselves, or do so virtually using a third party tech company. Doing it yourself can be messy, he explained. 

You either need a third party that has built software designed to reconcile reams of data, or you "need some data scientists," he said. Smith pointed to comScore's acquisition of Rentrak last year as a model of how big companies with big data sets were able to mesh them together quickly with the help of third parties.

Smith estimated that working with an outside vendor could take Verizon and company six to nine months to make its mixed data sets useful, while the DIY option could take more than a year.

Servers for data storage are seen at Advania's Thor Data Center in Hafnarfjordur, Iceland August 7, 2015. REUTERS/Sigtryggur Ari Thomson ReutersBeside the data blending, what about security?

Steven Wolfe Pereira, chief marketing officer at Neustar, a tech company specializing in data management, noted the recent string of cyber attacks as making security concerns even more paramount.

That means that Oath and friends will not only have to make sure that nobody's real names or addresses are shared among partners or with the outside world, but also have to take steps to ensure that whatever consumers have or have not permitted individual carriers to track is respected even as advertisers look to run big campaigns that employ data from multiple carriers.

"For example, there will have to be a way to make sure that advertisers can control how frequently they show people messages and don't creep people out," said Wolfe Pereira.

Another security issue of importance is making sure that carriers don't learn too much about their competitors' customers. "You don't want Sprint to start prospecting T-Mobile's customers," said Smith. 

microsoft excel spreadsheetShutterstockAll that being said, if Oath actually pulls this off, will marketers be interested?

"Yes!," Wright said. "Most advertisers are continually serving up most of their ad budget to a handful of sources ...They want other options."

"Email addresses, web cookies, these are fractional identifiers for marketers," said Wolfe Pereira. "But the phone number is one of the most persistent identifiers, and it can be tied to a bill in your home. You can theoretically track people's online and offline behavior."

That has powerful applications for ad targeting, he said. "When it’s anonymized, and done the right way, it's a really smart play."

NOW WATCH: JPMorgan Chase explains why it pulled ads from YouTube and Megyn Kelly's show, and reveals a unique strategy it uses to combat fake news


          Data Scientist/Engineer - Wealthsimple - Toronto, ON   
Being a swiss army knife. Wealthsimple is Canada's largest and fastest growing online investment manager....
From WealthSimple - Fri, 30 Jun 2017 16:26:07 GMT - View all Toronto, ON jobs
          Senior Data Scientist - Microsoft - Redmond, WA   
Office 365 is the locomotive engine that uplifts enterprise &amp; consumer monetization with millions of active users in our datacenters around the globe....
From Microsoft - Tue, 06 Jun 2017 13:26:20 GMT - View all Redmond, WA jobs
          Director, Data Scientist - KPMG - Santa Clara, CA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Santa Clara, CA jobs
          Director, Data Scientist - KPMG - Atlanta, GA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Tue, 16 May 2017 08:29:26 GMT - View all Atlanta, GA jobs
          Data Scientist - IBM - Austin, TX   
Opportunities to implement machine learning into support business processes. Business process optimization....
From IBM - Tue, 06 Jun 2017 21:03:26 GMT - View all Austin, TX jobs
          Director, Data Scientist - KPMG - Seattle, WA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Seattle, WA 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- Financial Services - SAS Institute - United States   
Ability to travel 30-50% or as business needs require. Continuously educate clients and internal teams on the value of SAS....
From SAS Institute - Wed, 10 May 2017 17:17:40 GMT - View all United States jobs
          Systems Analyst, Data Science and BI   

Systems Analyst, Data Science and BI

Data Science and BI Principal Systems Analyst will lead projects related to Big Data (Hadoop Technology) involving Unstructured and Structured Data …

Link to Full Article

[Link to Full Article]
          Director, Data Scientist - KPMG - Santa Clara, CA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Santa Clara, CA jobs
          Director, Data Scientist - KPMG - Atlanta, GA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Tue, 16 May 2017 08:29:26 GMT - View all Atlanta, GA jobs
          Data Scientist - IBM - Austin, TX   
Opportunities to implement machine learning into support business processes. Business process optimization....
From IBM - Tue, 06 Jun 2017 21:03:26 GMT - View all Austin, TX jobs
          Director, Data Scientist - KPMG - Seattle, WA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Seattle, WA 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
          Data Scientist - AE - Heverlee   
Je vertaalt functionele en niet-functionele high-level vereisten naar een correcte decision support strategie (identificatie en combinatie van verschillende...
Van AE - Mon, 20 Mar 2017 05:28:59 GMT - Toon alle vacatures in Heverlee
          Senior Data Scientist - Microsoft - Redmond, WA   
Office 365 is the locomotive engine that uplifts enterprise &amp; consumer monetization with millions of active users in our datacenters around the globe....
From Microsoft - Tue, 06 Jun 2017 13:26:20 GMT - View all Redmond, WA jobs
          Data Scientist - RBC - Toronto, ON   
Data Science allows us to better understand the implications of what information means, identify trends, anticipate future behaviours, perform pattern matching,...
From RBC - Fri, 30 Jun 2017 19:20:41 GMT - View all Toronto, ON jobs
          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
          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
          (USA-CA-San Diego) Information Services Architect   
Information Services Architect **New** **California,San Diego** at https://cymer.referrals.selectminds.com/jobs/541/other-jobs-matching/location-only Information Systems and Technology 0005517Requisition # Share this Job **_ENVISON YOUR FUTURE AT CYMER!_** Cymer, an ASML Company, is the leader in developing light sources used by chipmakers worldwide to pattern advanced semiconductor chips. We're at the forefront of technology innovation because of the extraordinary efforts and ingenuity of our employees. Cymer is the world's leading provider of lithography systems for the semiconductor industry. Through innovation, Cymer is an integral part of today’s technology landscape and is leading the light Generation. _One Company, One Goal, Limitless Innovation. It's our people that make the difference._ **SUMMARY** The selected candidate will be part of the Cymer IT Information and Collaboration team and be responsible for information management strategy and roadmap, new capability/technology assessment and implementation, and day to day operations of specific solutions within the Cymer information management landscape. This is a hands-on role with additional strategic responsibilities to define information management and “Big Data” direction at Cymer. **DUTIES AND RESPONSIBILITIES** + Creates and maintains information architecture and information management strategy that establishes a roadmap for future investment in business intelligence capabilities + Collaborates with business clients, IT service owners, and business analysts to understand the implications of business information needs and drive updates to the information architecture and business analytics to maximize the value of information across the organization + Identifies, selects, implements, and supports business and IT capabilities for managing and integrating structured and unstructured information across the enterprise + Maintains a holistic view of information assets by creating and maintaining blueprints that illustrate how information is stored, processed, and accessed + Act as an information liaison between various business units and IT departments + Lead or contribute to projects and provide guidance/training to IT and other staff + Performs other duties as assigned **QUALIFICATIONS** + Bachelor’s degree related to Computer Science, Information Systems or a related field + 5+ years of experience in information architecture and management or minimum 5-7 years of experience as data analyst, business intelligence analyst, or equivalent roles + Excellent verbal and written communication skills to engage with diverse organizational levels (business and IT) + Excellent customer management skills, with an advanced understanding of customer relationship building and ability to drive proposal and influence direction + Deep knowledge of enterprise Information Technology concepts and processes (i.e. ITIL, COBIT, etc.). + Must be detail oriented and have strong organizational skills to effectively participate in project meetings, discussions and issue resolution. + Must be highly skilled user of Microsoft Office products (Outlook, SharePoint, Word, Excel, PowerPoint and Visio). + Ability to maintain appropriate confidentiality of information and demonstrate ethical behavior. + Expertise with diverse approaches, models, procedures, and solutions used to deliver the duties and responsibilities mentioned above, including: + Demonstrated expertise with developing and driving realization of information architecture development, information policy formation, information taxonomy and modeling + Demonstrated competence in business domain analysis, data warehousing (design and operations), and database design + Demonstrated competence with benefits, design and management of structured and unstructured content and databases / repositories (SQL, NoSQL, HDFS/Hadoop distributions, etc.) and hands-on experience with specific products + Demonstrated competence with Microsoft SQL Server, Oracle DBMS, SAP Business Objects, and related tools is valued + Working knowledge and understanding of benefits and positioning of data virtualization + Working knowledge of data science, data mining, OLAP programming, database management and programming, business process modeling and analysis + Working knowledge of mobile-enabled business analytics architecture and solutions + Working knowledge of statistical computing and graphics programming languages (e.g. R, S-Plus, Python, etc.) + Working knowledge of open source or commercial data visualization tools (e.g. Tableau, Qlikview, Spotfire, etc.) + Working knowledge of cloud-based offerings and vendor differentiation related to analytics and information processing capabilities + Demonstrated experience and interest in leading or managing small regional teams **PHYSICAL DEMANDS AND WORK ENVIRONMENT** The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. + While performing the duties of this job, the employee routinely is required to sit; walk; talk and hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, crawl, reach, and stretch. + The employee is occasionally required to move around the campus. + Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus. + May require travel dependent on company needs. + The employee may occasionally lift and/or move up to 50 lbs. + Can work under deadlines. Cymer offers competitive salaries and benefits including medical, dental, vision, 401(K), and FSAs. _Cymer is committed to leveraging the diverse backgrounds, perspectives, and experiences of our workforce to create opportunities for our people and the business. EOE_
          Data Scientist - Focal Systems - Canada   
Python / Pandas / Tableau / SQL required. Focal produces terabytes of data every week and parsing through that data is extremely challenging but also super...
From Focal Systems - Fri, 30 Jun 2017 10:39:37 GMT - View all Canada jobs
          Senior Data Science Engineer - Rubikloud Technologies - Toronto, ON   
Experience in working with machine learning framework/libraries such as MLlib, Pandas, Numpy, Scipy, Scikit-learn, and/or Jupyter. What We Are Building:....
From Rubikloud Technologies - Sat, 01 Jul 2017 02:20:02 GMT - View all Toronto, 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
          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
          Java Data Science Cookbook   

eBook Details: Paperback: 372 pages Publisher: WOW! eBook (March 28, 2017) Language: English ISBN-10: 1787122530 ISBN-13: 978-1787122536 eBook Description: Java Data Science Cookbook: Recipes to help you overcome your data science hurdles using Java

The post Java Data Science Cookbook appeared first on eBookee: Free eBooks Download.


          APAC Senior Recruitment Executive - Essence - Singapore   
About Essence Essence is a global digital agency that blends data science, objective media and captivating experiences to build valuable connections between
From Essence - Fri, 30 Jun 2017 06:26:22 GMT - View all Singapore jobs
          Hiring for Data Engineer - R & Python - BFSI in Delhi/NCR(National Capital Region), for Exp. 4 - (Delhi Job)   
Job Description:Responsibilities : - Apply machine learning techniques to deliver actionable insights - Writing end to end R and python codes - Building different platforms in R and python and working closely with data scientists - Working with global sta...
          Data Scientist - Drop - Toronto, ON   
Through our mobile app, users supercharge their debit and credit cards to automatically earn points on their every day spending at places such as Starbucks, Tim...
From Drop - Thu, 01 Jun 2017 02:38:43 GMT - View all Toronto, ON jobs
          Associate Data Science Business & Operations Management Director - Astellas Pharmaceuticals - Northbrook, IL   
Astellas offers an environment where our employees can make a real difference. Establishes, manages and updates the training curricula for vendor staff in line...
From Astellas Pharmaceuticals - Mon, 19 Jun 2017 20:03:12 GMT - View all Northbrook, IL jobs
          Data Scientist - RBC - Toronto, ON   
Data Science allows us to better understand the implications of what information means, identify trends, anticipate future behaviours, perform pattern matching,...
From RBC - Fri, 30 Jun 2017 19:20:41 GMT - View all Toronto, ON 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
          Director, Data Scientist - KPMG - Santa Clara, CA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Santa Clara, CA jobs
          Director, Data Scientist - KPMG - Atlanta, GA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Tue, 16 May 2017 08:29:26 GMT - View all Atlanta, GA jobs
          Data Scientist - IBM - Austin, TX   
Opportunities to implement machine learning into support business processes. Business process optimization....
From IBM - Tue, 06 Jun 2017 21:03:26 GMT - View all Austin, TX jobs
          Director, Data Scientist - KPMG - Seattle, WA   
Statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval;...
From KPMG LLP - Fri, 19 May 2017 08:26:37 GMT - View all Seattle, WA jobs
          Manager, Research- Center for Observational Research & Data Sciences - Bristol-Myers Squibb - Princeton, NJ   
The Center for Observational Research and Data Sciences (CORDS) Scientist is an individual contributor responsible for performing non-interventional research
From Bristol-Myers Squibb - Thu, 11 May 2017 18:29:00 GMT - View all Princeton, NJ jobs
          Data Scientist - Hitachi Consulting Services Canada Corporation - Toronto, ON   
Applies intellectual curiosity and deep analytical thinking to mine large data sets for hidden gems of insight and correlation....
From Hitachi - Sat, 01 Jul 2017 11:50:16 GMT - View all Toronto, ON jobs
          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
          USI MD - Eminence - Assistant Manager-Data Scientist-Hyderabad - Deloitte - Hyderabad, Telangana   
Senior Analyst: Eminence CoE- Data Sciences Function: U.S. India Enabling Areas Service Area: Market Development Service Line: Eminence CoE-Data Sciences...
From Deloitte - Thu, 08 Jun 2017 15:29:26 GMT - View all Hyderabad, Telangana jobs
          Risk Based Data Scientist - Protective Life Corporation - Birmingham, AL   
Risk Based Data Scientist The Risk Based Analytics team of the Product Development division of Protective Life Corporation has an opening for a Data
From Protective Life Corporation - Thu, 06 Apr 2017 17:42:30 GMT - View all Birmingham, AL jobs
          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
          Manager, Research- Center for Observational Research & Data Sciences - Bristol-Myers Squibb - Princeton, NJ   
Proficient in SAS programming (3 years experience) to execute these studies. The Center for Observational Research and Data Sciences (CORDS) Scientist is an...
From Bristol-Myers Squibb - Thu, 11 May 2017 18:29:00 GMT - View all Princeton, NJ jobs
          Data Scientist - Hitachi Consulting Services Canada Corporation - Toronto, ON   
Applies intellectual curiosity and deep analytical thinking to mine large data sets for hidden gems of insight and correlation....
From Hitachi - Sat, 01 Jul 2017 11:50:16 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
          Data Scientist- Financial Services - SAS Institute - United States   
Ability to travel 30-50% or as business needs require. Continuously educate clients and internal teams on the value of SAS....
From SAS Institute - Wed, 10 May 2017 17:17:40 GMT - View all United States jobs
          Data Scientist   
OH-Columbus, The Huntington National Bank. Data Scientist. Columbus, Ohio. Create, document, test, deploy, audit, & maintain statistical methods & models. Deploy models for targeting in marketing campaigns, price optimization for financial products, geographic retail network optimization, & prediction of consumer behavior. Collaborate w/ the legal, compliance, & risk teams to ensure all modeling activities sat
          Data Scientist - Focal Systems - Canada   
Python / Pandas / Tableau / SQL required. Focal produces terabytes of data every week and parsing through that data is extremely challenging but also super...
From Focal Systems - Fri, 30 Jun 2017 10:39:37 GMT - View all Canada jobs
          Senior Data Science Engineer - Rubikloud Technologies - Toronto, ON   
Experience in working with machine learning framework/libraries such as MLlib, Pandas, Numpy, Scipy, Scikit-learn, and/or Jupyter. What We Are Building:....
From Rubikloud Technologies - Sat, 01 Jul 2017 02:20:02 GMT - View all Toronto, 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
          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
          Data Scientist - RBC - Toronto, ON   
Data Science allows us to better understand the implications of what information means, identify trends, anticipate future behaviours, perform pattern matching,...
From RBC - Fri, 30 Jun 2017 19:20:41 GMT - View all Toronto, ON jobs
          Chief Compliance Officer - TrueAccord - San Francisco Bay Area, CA   
We deploy technology, machine learning, and data science to innovate and optimize how debt is collected. The Chief Compliance Officer (CCO) is responsible for...
From Indeed - Sat, 17 Jun 2017 02:01:35 GMT - View all San Francisco Bay Area, CA jobs
          Customer Support Specialist - TrueAccord - San Francisco Bay Area, CA   
Our Customer Support Team plays a key role in the success of the business; We deploy technology, machine learning, and data science to innovate and optimize how...
From Indeed - Mon, 05 Jun 2017 00:31:58 GMT - View all San Francisco Bay Area, CA jobs
          Data Scientist (Artificial Intelligence & Deep Learning) - Microsoft - Redmond, WA   
We help drive actionable business intelligence through advanced statistical modeling and business analytics across Microsoft....
From Microsoft - Sat, 13 May 2017 05:34:57 GMT - View all Redmond, WA jobs
          Sr. Manager, Advanced Analytics and Data Science - QuintilesIMS - Collegeville, PA   
Develop digital strategies that can be applied across multiple business lines and channels. Initiate digital strategies from identification of opportunity...
From QuintilesIMS - Wed, 19 Apr 2017 06:49:36 GMT - View all Collegeville, PA 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
          Manager, Quantitative Analytics/Data Science - Scotiabank - Toronto, ON   
Assess the impact of GL reconciliation results on capital and critical risk reports. Join the Global Community of Scotiabankers to help customers become better...
From Scotiabank - Thu, 29 Jun 2017 18:49:25 GMT - View all Toronto, ON jobs
          Associate Data Science Business & Operations Management Director - Astellas Pharmaceuticals - Northbrook, IL   
Astellas offers an environment where our employees can make a real difference. Establishes, manages and updates the training curricula for vendor staff in line...
From Astellas Pharmaceuticals - Mon, 19 Jun 2017 20:03:12 GMT - View all Northbrook, IL jobs
          Lead Data Scientist - USA-TX-Austin   
About the Role: At RetailMeNot we believe that gaining valuable insights using our data is core to our future success. Our Data Science team is seeking a Lead Data Scientist to drive the application o...
          Data Scientist/Engineer - Wealthsimple - Toronto, ON   
Being a swiss army knife. Wealthsimple is Canada's largest and fastest growing online investment manager....
From WealthSimple - Fri, 30 Jun 2017 16:26:07 GMT - View all Toronto, ON jobs
          Senior Data Scientist - Wade & Wendy - New York, NY   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Mon, 05 Jun 2017 14:17:24 GMT - View all New York, NY jobs
          APAC Senior Recruitment Executive - Essence - Singapore   
About Essence Essence is a global digital agency that blends data science, objective media and captivating experiences to build valuable connections between
From Essence - Fri, 30 Jun 2017 06:26:22 GMT - View all Singapore jobs
          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
          Principal Data Scientist - Microsoft - Redmond, WA   
We are a horizontal team and need each DS to lead and drive their projects. The Microsoft Support Engineering Group (MSEG) is part of Universal Store Team (UST)...
From Microsoft - Sat, 13 May 2017 05:34:59 GMT - View all Redmond, WA 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- Financial Services - SAS Institute - United States   
Ability to travel 30-50% or as business needs require. Continuously educate clients and internal teams on the value of SAS....
From SAS Institute - Wed, 10 May 2017 17:17:40 GMT - View all United States jobs
          Data Scientist/Engineer - Wealthsimple - Toronto, ON   
Being a swiss army knife. Wealthsimple is Canada's largest and fastest growing online investment manager....
From WealthSimple - Fri, 30 Jun 2017 16:26:07 GMT - View all Toronto, ON jobs
          AVP of Applied Analytics   
CA-Aliso Viejo, RESPONSIBILITIES: Kforce has a client that is searching for a AVP of Applied Analytics in Aliso Viejo, California (CA). Essential Functions: Lead the analytics team in creating high quality analysis for all aspects of our business with heavy emphasis on customer intimacy to drive outcomes through effective decision making Hire and develop a highly talented and effective data science team Define an
          Data Science Engineer - Performance Advertising - A9.com - Palo Alto, CA   
At least 2 years applying Machine Learning techniques to solve business problems. Be a member of the Amazon-wide Machine Learning Community, participating in...
From A9.com - Tue, 20 Jun 2017 05:00:34 GMT - View all Palo Alto, CA jobs
          Data Science Performance Engineer, Search Platform - A9.com - Palo Alto, CA   
At least 2 years of experience applying Machine Learning techniques to solve business problems. Work with Amazon Web Services to improve their machine learning...
From A9.com - Thu, 15 Jun 2017 20:40:02 GMT - View all Palo Alto, CA jobs
          Data Sciences Engineer - Sponsored Products - A9.com - Palo Alto, CA   
Be a member of the Amazon-wide Machine Learning Community, participating in internal and external Meetups, Hackathons and Conferences....
From A9.com - Wed, 03 May 2017 01:36:05 GMT - View all Palo Alto, CA jobs
          Texas Tech University 招收data analytics 博士生 (2018年1月入学)   
德州理工大学Assistant Professor Wanli Xing 招收博士生一名 (提供全额奖学金), 2018年1月入学. 方向:教育数据挖掘 (educational data mining),学习分析 (learning analytics),数据科学 (data science)。 https://www.depts.ttu.edu/education/graduate/p ...
          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
          Director, Data Science Product Management - ShareThis   
Palo Alto, CA - PALO ALTOPRODUCTFULL-TIME
APPLY FOR THIS JOB
The Director of Data Science Product Management is responsible for owning the product management process of vetting, validating and executing on new and existing data science and data driven marketing and publisher products. When
          Senior Data Scientist - Microsoft - Redmond, WA   
Office 365 is the locomotive engine that uplifts enterprise &amp; consumer monetization with millions of active users in our datacenters around the globe....
From Microsoft - Tue, 06 Jun 2017 13:26:20 GMT - View all Redmond, WA jobs
          APAC Senior Recruitment Executive - Essence - Singapore   
Clients include Google, FrieslandCampina, Tesco Mobile and the Financial Times. Essence is a global digital agency that blends data science, objective media and...
From Essence - Fri, 30 Jun 2017 06:26:22 GMT - View all Singapore 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
          Software Sales Hunter, Data Science Solutions - EXPERIAN - Texas   
SAS, FICO, Fiserv, Oracle, SAP, IBM, Amdocs, Pegasystems, Sungard, TIBCO, etc…) is preferred. Job Description - Software Sales Hunter, Data Science Solutions ...
From Experian - Sat, 22 Apr 2017 11:04:53 GMT - View all Texas jobs
          Data Scientist 4 - Northrop Grumman - Fairfax, VA   
Ability to communicate deep analytical results in forms that resonate with scientific and/or business collaborators, highlighting actionable insights....
From Northrop Grumman - Fri, 30 Jun 2017 10:25:40 GMT - View all Fairfax, VA jobs
          Senior Data Science Engineer - Rubikloud Technologies - Toronto, ON   
Additionally, we offer a personal development budget that you are free to use for professional development or even as a fitness allowance....
From Rubikloud Technologies - Sat, 01 Jul 2017 02:20:02 GMT - View all Toronto, ON jobs
          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
          This Filipina Physicist Will Head the Country's First Data Science Master's Program   
She has a bachelor's degree, a master's, and a doctorate in physics—all from the University of the Philippines.
          USI MD - Eminence - Assistant Manager-Data Scientist-Hyderabad - Deloitte - Hyderabad, Telangana   
Senior Analyst: Eminence CoE- Data Sciences Function: U.S. India Enabling Areas Service Area: Market Development Service Line: Eminence CoE-Data Sciences...
From Deloitte - Thu, 08 Jun 2017 15:29:26 GMT - View all Hyderabad, Telangana jobs
          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
          Clinical Research Data Scientist, Belgium - Beerse   
Job Title: Clinical Research Data Scientist, Belgium - Beerse
Salary: Negotiable
Benefits:
Location: Belgium, Beerse
Company: CK Clinical
Posted: 30 June 2017
Expiry: 28 July 2017
Summary: Jim Gleeson is recruiting for a contract Clinical Research Data Scientist to join a large, global healthcare company, based at their offices in Belgium. RESPONSIBILITIES...
          Offer - UI Developer (Html, CSS, JavaScript, JQuery, Bootstrap, Angular JS , Node) ORIENTED TRAINING,CERTIFICATION & JOB SUPPORT - 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
          Software Sales Hunter, Data Science Solutions - EXPERIAN - Texas   
SAS, FICO, Fiserv, Oracle, SAP, IBM, Amdocs, Pegasystems, Sungard, TIBCO, etc…) is preferred. Job Description - Software Sales Hunter, Data Science Solutions ...
From Experian - Sat, 22 Apr 2017 11:04:53 GMT - View all Texas jobs
          Data Science Platform Developer - Iodine Software - Austin, TX   
2+ years of professional experience writing Java code. Design and implement highly performing and highly scalable Java applications....
From Iodine Software - Fri, 30 Jun 2017 00:28:17 GMT - View all Austin, TX 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
          Data Scientist - Focal Systems - Canada   
Python / Pandas / Tableau / SQL required. Focal produces terabytes of data every week and parsing through that data is extremely challenging but also super...
From Focal Systems - Fri, 30 Jun 2017 10:39:37 GMT - View all Canada jobs
          Senior Data Science Engineer - Rubikloud Technologies - Toronto, ON   
Experience in working with machine learning framework/libraries such as MLlib, Pandas, Numpy, Scipy, Scikit-learn, and/or Jupyter. What We Are Building:....
From Rubikloud Technologies - Sat, 01 Jul 2017 02:20:02 GMT - View all Toronto, 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
          #8: R for Data Science: Import, Tidy, Transform, Visualize, and Model Data   
R for Data Science
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Hadley Wickham , Garrett Grolemund
(6)

Buy new: CDN$ 53.28 CDN$ 40.44
28 used & new from CDN$ 29.21

(Visit the Bestsellers in Programming list for authoritative information on this product's current rank.)
          Adafruit’s Top 10 Blog Posts of June 2017 #StateOfTheFruit #AdafruitTopTen   
1. Resin-in-resin: How to Make a Literal ‘Embedded’ Device #piday #raspberrypi @Raspberry_Pi 2. Game Changer: Using a Raspberry Pi to Make an Xbox 360 Into a 3D Printer #piday #raspberrypi @Raspberry_Pi 3. Intruder Detector With Raspberry Pi and Pushbullet #piday #raspberrypi @Raspberry_Pi 4. Introduction to Python, Data Science & Computational Thinking: Free Online Courses from […]
          Data Science Engineer - Performance Advertising - A9.com - Palo Alto, CA   
At least 2 years applying Machine Learning techniques to solve business problems. Be a member of the Amazon-wide Machine Learning Community, participating in...
From A9.com - Tue, 20 Jun 2017 05:00:34 GMT - View all Palo Alto, CA jobs
          Data Science Performance Engineer, Search Platform - A9.com - Palo Alto, CA   
At least 2 years of experience applying Machine Learning techniques to solve business problems. Work with Amazon Web Services to improve their machine learning...
From A9.com - Thu, 15 Jun 2017 20:40:02 GMT - View all Palo Alto, CA jobs
          Data Sciences Engineer - Sponsored Products - A9.com - Palo Alto, CA   
Be a member of the Amazon-wide Machine Learning Community, participating in internal and external Meetups, Hackathons and Conferences....
From A9.com - Wed, 03 May 2017 01:36:05 GMT - View all Palo Alto, CA jobs
          Senior Data Architect - ASRC Federal - Moorestown, NJ   
Senior Data Architect. ASRC Federal Mission Solutions (AFMS) is seeking a Senior Data Scientist/ Architect to join its professional engineering team developing...
From ASRC Federal - Sat, 03 Jun 2017 01:36:31 GMT - View all Moorestown, NJ jobs
          Packt - Learning Path Python Programming for Python Users   

Packt - Learning Path Python Programming for Python Users

Packt - Learning Path: Python: Programming for Python Users
English | Size: 2.09 GB
Category: Video Training

It's no NEWS that Python is the market-standard tool for data science. However, it's worth mentioning that Python has made a huge impact in the programming world. Python is a widely used high-level, general-purpose, interpreted, dynamic programming language.


          Chief Compliance Officer - TrueAccord - San Francisco Bay Area, CA   
We deploy technology, machine learning, and data science to innovate and optimize how debt is collected. The Chief Compliance Officer (CCO) is responsible for...
From Indeed - Sat, 17 Jun 2017 02:01:35 GMT - View all San Francisco Bay Area, CA jobs
          Customer Support Specialist - TrueAccord - San Francisco Bay Area, CA   
Our Customer Support Team plays a key role in the success of the business; We deploy technology, machine learning, and data science to innovate and optimize how...
From Indeed - Mon, 05 Jun 2017 00:31:58 GMT - View all San Francisco Bay Area, CA jobs
          Data Scientist (Artificial Intelligence & Deep Learning) - Microsoft - Redmond, WA   
We help drive actionable business intelligence through advanced statistical modeling and business analytics across Microsoft....
From Microsoft - Sat, 13 May 2017 05:34:57 GMT - View all Redmond, WA jobs
          Sr. Manager, Advanced Analytics and Data Science - QuintilesIMS - Collegeville, PA   
Develop digital strategies that can be applied across multiple business lines and channels. Initiate digital strategies from identification of opportunity...
From QuintilesIMS - Wed, 19 Apr 2017 06:49:36 GMT - View all Collegeville, PA jobs
          Manager, Quantitative Analytics/Data Science - Scotiabank - Toronto, ON   
Assess the impact of GL reconciliation results on capital and critical risk reports. Join the Global Community of Scotiabankers to help customers become better...
From Scotiabank - Thu, 29 Jun 2017 18:49:25 GMT - View all Toronto, ON jobs
          (USA-WA-Seattle) Data Engineer, Amazon Devices   
Data Engineer, Amazon Devices Job ID 552070 Location US-WA-Seattle Posted Date 6/27/2017 Company Amazon Corporate LLC Position Category Business Intelligence Recruiting Team .. Job DescriptionDo 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. We are currently looking for a talented data engineer to play a key role in implementing our next generation datamart solution and making use of latest machine learning and big data technologies to provide deeper insights about each of our devices and Amazon customers. Amazon has a culture of data-driven decision-making and demands business intelligence that is timely, accurate, and actionable. A data engineer should be able to develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for the Devices organization. The ideal candidate will have extensive experience with traditional Data Warehouse (DW) concepts and have the aptitude to incorporate new approaches and methodologies while dealing with big data. Excellent business and communication skills are a must to develop and define key business questions and to build data sets that answer those questions. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. Basic Qualifications- Minimum 6 years experience with RDBMS concepts and hands on working skills with Oracle/SQL server/MySQL databases in a business environment - Experience using SQL queries, experience in writing and optimizing SQL queries - Experience in data visualization software or UI experience (Tableau/Qlikview) - Experience in BI projects converting business needs to data warehousing and reporting solutions - Bachelor's Degree in a scientific area Preferred Qualifications-Experience in design and development of Data warehousing architecture - Experience in designing and architecting large data warehouse systems, dimensional modeling - Experience in big-data using Redshift, hadoop, hive, and/or other open-source tools/technologies would be a plus - Some experience leveraging SAS, R or matlab to manipulate data and set up automated processes as per business requirement - Experience with AWS/Cloud based solutions - Strong ability to interact, communicate, present and influence within multiple levels of the organization - Masters degree - Excellent communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
          (USA-WA-Seattle) Finance Manager - Consumer Marketing Analytics   
Finance Manager - Consumer Marketing Analytics Job ID 553865 Location US-WA-Seattle Posted Date 6/30/2017 Company Amazon Corporate LLC Position Category Finance & Accounting Recruiting Team .. Job DescriptionAmazon Consumer Marketing Finance seeks a Sr Financial Analyst to support the Consumer Marketing Analytics (CMA) team, which is responsible for generating customer understanding and insights, Customer Targeting applications, and Marketing Attribution. Products that CMA develop are built from the ground up, cutting edge technologies that fuse Big Data with concepts from Machine Learning, Economics and other fields like Data Science. These innovations help make strategic investment decisions and define the customer engagement metrics by which Amazon runs its business globally. This role will influence the metrics that make customer messaging more personal. The Sr. Financial Analyst would partner with the CMA business/tech teams. S/he has a passion for learning about complex econometric models and communicating to a non-technical audience in a crisp manner. The successful candidate will have strong analytic and communication skills, and have a passion for using data to drive business decisions. We are looking for a self-starter that attacks complex business problems with curiosity and dives deep to identify root causes. This individual thrives by providing data-driven decision support and business intelligence that is timely, accurate, and actionable. Basic Qualifications Bachelor's degree in finance, accounting, business, economics, or related field 5+ years of relevant Finance experience Preferred Qualifications Master's degree in finance, accounting, business, economics, or related field Advanced knowledge of Excel Strong analytical, financial modeling and reporting skills Persuasive oral/written communication skills Knowledge of SQL is desirable Must be comfortable working in cross-functional teams Ability to demonstrate strong leadership Excellent communication and persuasion skills Amazon is an Equal Opportunity-Affirmative Action Employer - Female/Minority/Disability/Veteran/Gender Identity/Sexual Orientation Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
          Data Scientist - Marketing - Sports Equipment   
Create analytical attribution models to quantify the return on investment of marketing spend across all of marketing strategies. Partner with our technical teams to deliver a scalable long term attribution solution. (Sports Marketing, Sales, Sports Media, Digital, IT)
          Pricing Strategy Consultant - RiverPoint - Hoffman Estates, IL   
RiverPoint Group is looking for a Senior Data Scientist / Pricing Strategy Consultant with pricing strategy experience in any or all of the following industries...
From RiverPoint - Sat, 17 Jun 2017 09:46:21 GMT - View all Hoffman Estates, IL jobs
          Verizon's plan to create a data powerhouse to challenge Facebook and Google is fraught with challenges   

switchboard telephone operator

Verizon, or more specifically it's newly formed digital media division Oath, has an intriguing new plan. It wants to put together a wireless data powerhouse in its quest to challenge Facebook and Google in digital advertising.

Specifically, the company wants to rent reams of consumer data from major competitors like Sprint, T-Mobile, Vodafone and Telefonica that can be used for ad targeting.

Call it the Hulu of wireless data.

Besides the unusual competitive politics involved in such an undertaking (who's in charge? How are we getting paid), it's worth asking, what would such an arrangement look like when it comes to execution? Just how hard is this going to be from a technical perspective? Business Insider talked to some experts about what Oath will be facing in putting such an endeavor together.

Here are some of their big questions:

How hard will it be to mix different data from different wireless companies?

Austin Wright, senior vice president of strategy at the data-centric marketing firm Ansira, said that just stitching together the multiple data sets together will be a Herculean challenge, since each provider "may be supplying data at different levels." For example, one carrier may supply more granular numbers on its customers, while another may provide summarized data, or data on broad segments of consumers.

"Let’s say Verizon’s data is tracked on zip code, and T-Mobile is based on households," said Jeff Smith, chief marketing officer at LiveRamp, which helps marketers move data between different systems. "That's not that simple. It's not just a few more columns in the spreadsheet."

Plus, some carriers may estimate portions of their consumer data, Wright said, while another may focus on more raw numbers. And some data may come from households with multiple accounts, such as family plans.

"All of which further complicates matters," Wright said.

How with the data integration actually work?

Smith said that Oath and its would-be partners have to figure out whether they will mix and match the data themselves, or do so virtually using a third party tech company. Doing it yourself can be messy, he explained. 

You either need a third party that has built software designed to reconcile reams of data, or you "need some data scientists," he said. Smith pointed to comScore's acquisition of Rentrak last year as a model of how big companies with big data sets were able to mesh them together quickly with the help of third parties.

Smith estimated that working with an outside vendor could take Verizon and company six to nine months to make its mixed data sets useful, while the DIY option could take more than a year.

Servers for data storage are seen at Advania's Thor Data Center in Hafnarfjordur, Iceland August 7, 2015. REUTERS/Sigtryggur Ari Beside the data blending, what about security?

Steven Wolfe Pereira, chief marketing officer at Neustar, a tech company specializing in data management, noted the recent string of cyber attacks as making security concerns even more paramount.

That means that Oath and friends will not only have to make sure that nobody's real names or addresses are shared among partners or with the outside world, but also have to take steps to ensure that whatever consumers have or have not permitted individual carriers to track is respected even as advertisers look to run big campaigns that employ data from multiple carriers.

"For example, there will have to be a way to make sure that advertisers can control how frequently they show people messages and don't creep people out," said Wolfe Pereira.

Another security issue of importance is making sure that carriers don't learn too much about their competitors' customers. "You don't want Sprint to start prospecting T-Mobile's customers," said Smith. 

microsoft excel spreadsheetAll that being said, if Oath actually pulls this off, will marketers be interested?

"Yes!," Wright said. "Most advertisers are continually serving up most of their ad budget to a handful of sources ...They want other options."

"Email addresses, web cookies, these are fractional identifiers for marketers," said Wolfe Pereira. "But the phone number is one of the most persistent identifiers, and it can be tied to a bill in your home. You can theoretically track people's online and offline behavior."

That has powerful applications for ad targeting, he said. "When it’s anonymized, and done the right way, it's a really smart play."

Join the conversation about this story »

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          Data Analyst   
NY-Corning, Job Description Non-Exempt Position Hours of work/work schedule/flex-time: • 8:00AM – 5:00PM; Monday - Friday • 40 hour weeks and will involve overtime during certain projects or deadlines In this role you will be a key member in the newly formed Applied Advanced Analytics team. The successful candidate will collaborate with data scientist and engineers to implement sophisticated systems and techn
          Data Science Platform Developer - Iodine Software - Austin, TX   
Team player DNA with a desire to solve for the interests of our internal clients and of our business. Passion for exploring, applying and following the...
From Iodine Software - Fri, 30 Jun 2017 00:28:17 GMT - View all Austin, TX jobs
          (USA-CA-San Francisco) Senior Data Scientist - $200k w/ stock   
Senior Data Scientist - $200k w/ stock Senior Data Scientist - $200k w/ stock - Skills Required - Python, R, Machine Learning If you are a Senior Data Scientist with experience, please read on! **Top Reasons to Work with Us** Our company's technology is literally changing a $500B industry and you and your work will be a change agent helping guide our corporate strategy. **What You Will Be Doing** Building models that utilize predictive analytics, machine learning /artificial intelligence, on a variety of highly leveraged projects that will shape our corporate strategy and products. **What You Need for this Position** At Least 3 Years of experience and knowledge of: - Python - R - Machine Learning **What's In It for You** Our company provides the safety of a publicly traded mult-billion dollar company with the creativity and drive of a startup. This is a great chance to get in to a greenfield data science group that will truly change our organization and an industry. We have a great environment and hire some of the most talented individuals in SFC. We offer a great salary, work life balance and the possibility of stock. So, if you are a Senior Data Scientist with experience, please apply today! 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. *Senior Data Scientist - $200k w/ stock* *CA-San Francisco* *JL3-1383050*
          (USA-CA-San Francisco) Junior Data Scientist - $140k w/ stock   
Junior Data Scientist - $140k w/ stock Junior Data Scientist - $140k w/ stock - Skills Required - Python, R, Machine Learning If you are a Junior Data Scientist with experience, please read on! **Top Reasons to Work with Us** Our company's technology is literally changing a $500B industry and you and your work will be a change agent helping guide our corporate strategy. **What You Will Be Doing** Building models that utilize predictive analytics, machine learning /artificial intelligence, on a variety of highly leveraged projects that will shape our corporate strategy and products. **What You Need for this Position** At Least 1 Year of experience and knowledge of: - Python - R - Machine Learning **What's In It for You** Our company provides the safety of a publicly traded mult-billion dollar company with the creativity and drive of a startup. This is a great chance to get in to a greenfield data science group that will truly change our organization and an industry. We have a great environment and hire some of the most talented individuals in SFC. We offer a great salary, work life balance and the possibility of stock. As a Junior Data Scientist you will be given the opportunity to learn on the job through strong role models and hands - on experience. However, at least a Master's degree is necessary and some sort of data science training. So, if you are a Junior Data Scientist with experience, please apply today! 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. *Junior Data Scientist - $140k w/ stock* *CA-San Francisco* *JL3-1383051*
          Data Science Platform Developer - Iodine Software - Austin, TX   
Team player DNA with a desire to solve for the interests of our internal clients and of our business. Passion for exploring, applying and following the...
From Iodine Software - Fri, 30 Jun 2017 00:28:17 GMT - View all Austin, TX 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
          Last Week on Channel 9: June 26th - July 2nd, 2017   

Lots of great stuff last week. While below is a select 34 videos, shows, episodes and posts, the big news is a cool new Channel 9 feature, Channel 9: subscribe to show feature!

TWC9: .NET Core 2 (and Friends) Preview 2, .future, Imagine Cup 2017, “Adventures of Ninja…

This week on Channel 9, [Host 1] and [Host 2] discuss the week's top developer news, including;

Highlight Reel - 2017 Imagine Cup US Finals

Tune in here to watch the exclusive behind-the-scenes highlights from the 2017 US Imagine Cup Finals, Microsoft's premier student tech competition. Check out the innovative and cutting edge demos. Take a sneak peek at exclusive storytelling and startup tips then watch students prep for their big moment and take the stage!  Want to learn more? Watch all the in-depth videos showcasing the entire event!

Let's talk about Power BI Premium - Adam and Patrick Unplugged - June 2017 [EP4]

In this episode of the Adam and Patrick Unplugged show, we talk about some travel updates, ragged hierarchies and a lot about Power BI Premium.

Episode 231: Azure Functions Local Debugging and More with Donna Malayeri

In this episode Thiago Almeida and Bill Barnes are joined by Donna Malayeri, a Program Manager in the Azure Functions team. Donna joins us to show local debugging of Azure Functions written in JavaScript and C# Class Libraries as well as other features and news. ...

Innovation at Microsoft: An Overview of Microsoft Research

Analysts visit Microsoft AI +R to learn about research approach and demos of projects.

Data Predictive Control: Bridging Machine Learning and Controls for Volatile Energy Markets

In January 2014, the east coast (PJM) electricity grid experienced an increase in the price of electricity from $31/MWh to $2,680/MWh in a matter of 10 minutes. This extreme price volatility has become the new norm in our electric grids. Building additional peak generation capacity is not environmentally or economically sustainable. Furthermore, the traditional view of Energy Efficiency does not address this need for Energy Flexibility. The solution lies with Demand Response (DR) from the customer side - curtailing demand during peak capacity for financial incentives. However, this is a very hard problem for commercial, industrial and institutional plants, the largest electricity consumers: they cannot model each building as they are all unique, cannot decide which of the 100,000's of control knobs to turn as it is too complex, must rely on rule-based curtailment approaches which are ad hoc, inefficient and do not provide any guarantees for energy reduction. ...

Channel 9: subscribe to show feature!

Channel 9 viewers and content creators have been asking for this feature for so long. You asked--we answered!

Now you can subscribe to your favorite shows on Channel 9. Now I know what you're thinking, "That sounds too good to be true. My favorite shows straight to my inbox?!" Believe it. POOF! You're welcome....

Introducing Azure DB for PostgreSQL

Saloni Sonpal joins Scott Hanselman to discuss the newest offering of the Azure Database family – Azure Database for PostgreSQL, which provides a managed database service for app development and deployment with a Postgres database in minutes and scale on the fly...

Ultimate Game Sale, Windows 10S, and more!

This Week on Windows we show off the Surface Laptop with Windows 10S, get in on the Fate of the Furious, and showcase the biggest game titles in the Ultimate Game Sale. Topics covered on this week's episode include:

  • SLING TV Cloud DVR ...
Build a chat app with SignalR Core - Mikael Mengistu

In this video Mikael Mengistu  shows us how to build a simple chat app with SignalR Core.

Create Spark Applications with the Azure Toolkit for IntelliJ

This quick 6 minute video will walk you through how to install and use the Azure Toolkit for IntelliJ to create Apache Spark applications in Scala and submitting it to an Azure HDInsight Spark cluster.

Power BI Embedded with the JavaScript SDK

Ran and Arina are back in the studio (actually, they never left :D ) to follow up on their first video to discuss the PowerBI JavaScript SDK. This SDK is a client-side API allows you to communicate with your report and interact with the report within your application as if it were a first-class citizen....

Short Video: How to open an Office 365 (Modern) Support Ticket

Are you facing an issue in Office 365 and need help to find a solution?

Watch this video to learn how our new Support Platform can help you find troubleshooting steps or how you can reach out to our support agents.

Episode 158: Functional Programming & F# with Lena Hall

We talk with Lena Hall about functional programming and F#. Which is faster, the mouse or keyboard? Walmart tells vendors to get off Amazon's cloud. And using AI to play Ms. Pac Man.

ASP.NET Monsters Ep 99: Front End Tools with David Wesst

There are countless front-end workflows. In what we're hoping will be the first of a series of episodes on workflows we talk with noted front-end guru and JavaScript master David Wesst (https://blog.davidwesst.com/). JavaScript or TypeScript? Gulp or Grunt? Hear what one expert thinks is the best combination.

KBYG: Microsoft Inspire

Going to Microsoft Inspire 2017 in Washington, DC?  Learn about what Voices for Innovation will be doing there.

Modern Dev Practices: Unit Testing

In this episode, Robert is joined by Phil Japikse, who explores how in modern development practices, unit testing is part of the development process, not a chore to be tackled after you write your code.

Phil spends most of the time on Test Driven Development (aka Test Driven Design), where you write a test first and then write just enough code to pass the test and then refine the code as you add more tests. In TDD, the tests embody the requirements the code must satisfy.  ...

Snack Pack 14: Upgrading Android Support Libraries

Welcome to The Xamarin Show Snack Pack Edition. A Snack Pack is bite sized episode that is focused on a specific topic and covered in just a few minutes. Today, we take a look at how to manage and upgrade the ever so important Android Support Libraries in Xamarin and Xamarin.Forms based applications....

Episode 3: England - Interview with Evelina Gabasova
In this episode of the MVP Show, we head to Cambridge, England, to visit post-doctoral researcher at MRC Cancer Unit, at the University of Cambridge, speaker and Microsoft MVP, Evelina Gabasova. We also had the chance to explore Cambridge, a university city, and the county town of Cambridgeshire, England, on the River Cam, about 50 miles north of London. The University of Cambridge was founded in 1209, a year after I was born. It is one of the top five universities in the world. I was lucky to stop in so she could drop the knowledge on data science, and educate me on an awesome data exploratory feature on Azure among other things. Watch the video to find out more!
Azure DocumentDB: a Deep Dive in to Advanced Features

Let's talk about how you can get the most out of Azure DocumentDB! We'll begin with an overview on what to think about when storing data in a document database covering:

  • What is data modeling and why should you care?...
Cancer Image Detection Competition Jumpstart

Since its launch in mid-January, the Data Science Bowl Lung Cancer Detection Competition has attracted more than 1,000 submissions. To be successful in this competition, data scientists need to be able to get started quickly and make rapid iterative changes.

In this webinar, we show how to compute features of the scanned images in the competition with a pre-trained Convolutional Neural Network (CNN) with Cognitive Toolkit (previously named CNTK), and use these features to classify the scans into cancerous or not cancerous, using a boosted tree with LightGBM library, all in one hour....

Join the Security Community

Learn how you can speak directly to Microsoft's security engineering teams to influence our products.

Introducing the Dream.Build.Play Game Developer Competition

Andrew Parsons joins the show to talk about a new competition being launched by Microsoft, called Dream.Build.Play. Dream.Build.Play is a game development competition that is open to all developers, working solo or in teams of up to seven. Create a Universal Windows Platform (UWP) game for one of the categories by December 31, 2017 and you'll get the chance to win cash prizes and show off your game to the world....

Introduction to MicrosoftML

MicrosoftML (MML) is a new machine learning package for Microsoft R Server. Microsoft R Server brings you the ability to do parallel and chunked data processing that addresses the restrictions of in-memory open source R. MML adds Microsoft's battle-tested algorithms and data transforms that are used by product teams across Microsoft. This brings new machine learning functionality with increased speed, performance and scale, especially for handling a large corpus of text data and high-dimensional categorical data....

Cognitive Services on Azure Government - Intelligent Mission

In this episode of the Azure Government video series, Steve Michelotti talks with Anna Roth (Senior Program Manager, Cognitive Services) about Cognitive Services in Azure Government. Anna discusses various aspects of how the technology works and how it enables developers to easily write code against the Cognitive Services APIs in any programming language they choose. In this presentation, you will see several demonstrations of Cognitive Services technologies that can greatly enhance the capabilities of government agencies.

Your Path to Partnering: Recommended Sessions at Microsoft Inspire 2017

The following is a guest post by Maritza Handal, Global ISV Co-Sell Lead within the One Commercial Partner (OCP) Organization at Microsoft.

Microsoft Inspire provides a wealth of information on various parts of our partners' businesses. But it can sometimes be a little daunting figuring out which sessions to attend in order to optimize your time there. With that in mind, we have created a guide to help partners navigate the sessions, specifically focused on partnering, according to their specific needs. To build your schedule, visit the Microsoft Inspire Session Catalog. To learn more about driving more sales through partnerships, read this post about how to build a robust channel program. Have a great time at Microsoft Inspire!

Changing Lives with Data Science and R at Microsoft

Whether it's called data science, machine learning, or predictive analytics, the combination of new data sources and statistical modeling has produced some truly revolutionary applications. Many of these applications incorporate open source technologies (including R) and research from academic institutions. In this talk, I'll share a few ways that Microsoft is improving the lives of people around the world by applying Statistics, research and open-source software in applications and devices, and describe how Microsoft has integrated R into its data platforms....

Spark Performance Tuning - Part 2

This week's Data Exposed show welcomes back Maxim Lukiyanov to talk more about Spark performance tuning with Spark 2.x. Maxim is a Senior PM on the big data HDInsight team and is in the studio today to present Part 2 of his 4-part series....

(Part 3) Hybrid Cloud for Enterprise Businesses

In this last video in a three part series on Hybrid Cloud, we will explore the value and efficiencies of hybrid cloud vs. fully on premise or fully cloud based scenarios for enterprise customers. Gain insights into how to increase developer productivity, SQL Server efficiency and peak network performance while reducing overall costs.  ...

Interview with Joy Chik, Corporate Vice President for the Identity Division at Microsoft

Soumow sits with Joy Chik, Corporate Vice President for the Identity Division in Microsoft's Cloud + Enterprise group. Joy's team is responsible for Active Directory, Azure Active Directory, Microsoft Account (MSA), Microsoft Graph, Identity Protection and Identity Management suites which are delivered to customers as cloud services or on-premises products....

SysSieve: Extracting Actionable Insights from Unstructured Text

Understanding free-form text is hard, be it bug reports or trouble tickets written by engineers or feedback/complaints from customers. We have built SysSieve, a learning system to do automated analysis of these important unstructured (yet incredibly noisy) data sources by building upon techniques from statistical NLP, ML, and information theory.  Today, this system is in production use across Windows, Bing, Skype, Office365 and CSS, as well as being leveraged to make platform improvements in our server and network hardware vendors. This video provides an overview of the SysSieve technical details and how it is being applied across product groups.

A Generic Framework for Mining Top-k Representative Subgraph Patterns

Mining subgraph patterns is an active area of research. Till now, the focus has primarily been on mining all subgraph patterns in the given database. However, due to the exponential subgraph search space, the number of patterns mined, typically, is too large for any human mediated analysis. Consequently, deriving insights from the mined patterns is hard for domain scientists. In addition, subgraph pattern mining is posed in multiple forms: the function that models if a subgraph is a pattern varies based on the application and the database could be over multiple graphs or a single, large graph....

Security Features on IoT Core

Security is a hot-button issue in the IoT space; IoT developers should be thinking about implementing hardware and software security features from the start of development. Windows 10 IoT Core provides several of these features to help protect your devices from network attacks as well as physical tampering. In this video, we discuss these features, how to turn them on, and why IoT device security is so important.

Defrag Tools #181 - System Power Report

In this episode of Defrag Tools, Chad Beeder and Andrew Richards are joined by Paresh Maisuria from the Windows Kernel Power team and Zach Holmes from the Fundamentals team to talk about System Power Report, a new feature in Windows 10 Creators Update....



          Data Science Platform Developer - Iodine Software - Austin, TX   
Comfort working in a Linux environment. Iodine Software equips medical care teams with the most innovative tools to quickly identify and prioritize...
From Iodine Software - Fri, 30 Jun 2017 00:28:17 GMT - View all Austin, TX jobs
          I need you to write some articles. Medical & Science by Slouma2810   
I need you to write some articles. Medical & Science (Budget: $10 - $30 USD, Jobs: Arabic, Articles, Biology, Brain Storming, Data Science)
          I need you to write some articles. Medical & Science by Slouma2810   
I need you to write some articles. Medical & Science (Budget: $10 - $30 USD, Jobs: Arabic, Articles, Biology, Brain Storming, Data Science)
          Ingénieur(e) architecte informatique - H/F - Thales - Toulouse   
CE QUE NOUS POUVONS ACCOMPLIR ENSEMBLE : Rattaché(e) à la Direction Competence Center Vous avez pour missions : -Architecture systèmes Big Data pour l'usine et les produits TAS. -Data science, -Machine learning et deep learning sur les données générées par l'usine TAS et les satellites d'observation Spécificités du Poste : La mission consistera en l'analyse et le développement d'architectures informatiques de type Big Data, et la leur mise en oeuvre pour l'analyse de données au...
          USI MD - Eminence - Assistant Manager-Data Scientist-Hyderabad - Deloitte - Hyderabad, Telangana   
Senior Analyst: Eminence CoE- Data Sciences Function: U.S. India Enabling Areas Service Area: Market Development Service Line: Eminence CoE-Data Sciences...
From Deloitte - Thu, 08 Jun 2017 15:29:26 GMT - View all Hyderabad, Telangana jobs
          Manager, Quantitative Analytics/Data Science - Scotiabank - Toronto, ON   
Assess the impact of GL reconciliation results on capital and critical risk reports. Join the Global Community of Scotiabankers to help customers become better...
From Scotiabank - Thu, 29 Jun 2017 18:49:25 GMT - View all Toronto, ON jobs
          Data Scientist   

          Offer - MANY REASONS TO LEARN HADOOP AND DATA SCIENCE - INDIA   
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          Data Scientist - Focal Systems - Canada   
Python / Pandas / Tableau / SQL required. Focal produces terabytes of data every week and parsing through that data is extremely challenging but also super...
From Focal Systems - Fri, 30 Jun 2017 10:39:37 GMT - View all Canada jobs
          Senior Data Science Engineer - Rubikloud Technologies - Toronto, ON   
Experience in working with machine learning framework/libraries such as MLlib, Pandas, Numpy, Scipy, Scikit-learn, and/or Jupyter. What We Are Building:....
From Rubikloud Technologies - Sat, 01 Jul 2017 02:20:02 GMT - View all Toronto, ON jobs
          Offer - MariaDB 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
          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
          Data Science Engineer - Performance Advertising - A9.com - Palo Alto, CA   
At least 2 years applying Machine Learning techniques to solve business problems. Be a member of the Amazon-wide Machine Learning Community, participating in...
From A9.com - Tue, 20 Jun 2017 05:00:34 GMT - View all Palo Alto, CA jobs
          Data Science Performance Engineer, Search Platform - A9.com - Palo Alto, CA   
At least 2 years of experience applying Machine Learning techniques to solve business problems. Work with Amazon Web Services to improve their machine learning...
From A9.com - Thu, 15 Jun 2017 20:40:02 GMT - View all Palo Alto, CA jobs
          Data Sciences Engineer - Sponsored Products - A9.com - Palo Alto, CA   
Be a member of the Amazon-wide Machine Learning Community, participating in internal and external Meetups, Hackathons and Conferences....
From A9.com - Wed, 03 May 2017 01:36:05 GMT - View all Palo Alto, CA jobs
          Data Scientist- Deep Learning/Computer Vision Job   
SAP - Bangalore, Karnataka - for a deep-learning based computer-vision product. The product is aimed at providing visual intelligence to enterprise systems in different domains... with, then we are looking for you. EDUCATION AND QUALIFICATIONS / SKILLS AND COMPETENCIES Doctoral, Master’s or Bachelor’s degree in Engineering or Technology, majoring in Computer...
          Data Scientist - Hitachi Consulting Services Canada Corporation - Toronto, ON   
Software experience with Informatica and EBS. About Hitachi Consulting Corporation....
From Hitachi - Sat, 01 Jul 2017 11:50:16 GMT - View all Toronto, ON jobs
          Sören Auer ist neuer Direktor der Technischen Informationsbibliothek (TIB) in Hannover   
Gleichzeitig übernimmt er die Professur „Data Science and Digital Libraries“ an der Leibniz Universität Hannover
          Data Scientist   

Wat ga je doen? Vind je het leuk om verbanden te leggen tussen data-analyse en de technische werking van materieel? Lees dan snel verder! Als data scientist bij Maintenance Development maak je de verbinding tussen wetenschappelijk onderzoek en de toepassing daarvan bij NS. Je draagt bij aan de ontwikkeling van nieuwe methoden voor de analyse en interpretatie… Lees verder ►

Het bericht Data Scientist verscheen eerst op Werken bij NS.


          Data Science Lead   

          Director of Data Science   

          (CHN-Shanghai) Applied Data Scientist   
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. + Aggregate huge amount of data and information from large numbers of sources to discover patterns and features necessary to build machine learning models that match eBay’s inventory with customers’ demand via Marketing channels. + Design and implement end-to-end solutions using Machine Learning, Optimization, and other advanced computer science technologies, and own live deployments to drive customer traffic to eBay. Qualifications + PhD or MS in computer science, engineering or related field + Excellent understanding of computer science fundamentals, data structures, and algorithms. Strong programming skills (one or more of Java, C/C++, Python) in corporate setting + Expertise in specialized areas such as Optimization, NLP, Reinforcement Learning, Probabilistic Inference, Machine Learning, Information Retrieval, Recommendation Systems. + Proven experience with large data sets and related technologies, e.g., Hadoop, Pig, Spark. Knowledge of SQL and NoSQL is needed. + Expert level experience in at least one of the ML learning software (R/Python/Scala/Tensor flow) is needed. + Good communication skills, ability to work with large cross-functional teams of technical and non-technical members Machine learning 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/ R0017715 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.
          (CHN-Shanghai) Applied Data Scientist   
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. + Aggregate huge amount of data and information from large numbers of sources to discover patterns and features necessary to build machine learning models that match eBay’s inventory with customers’ demand via Marketing channels. + Design and implement end-to-end solutions using Machine Learning, Optimization, and other advanced computer science technologies, and own live deployments to drive customer traffic to eBay. Qualifications + PhD or MS in computer science, engineering or related field + Excellent understanding of computer science fundamentals, data structures, and algorithms. Strong programming skills (one or more of Java, C/C++, Python) in corporate setting + Expertise in specialized areas such as Optimization, NLP, Reinforcement Learning, Probabilistic Inference, Machine Learning, Information Retrieval, Recommendation Systems. + Proven experience with large data sets and related technologies, e.g., Hadoop, Pig, Spark. Knowledge of SQL and NoSQL is needed. + Expert level experience in at least one of the ML learning software (R/Python/Scala/Tensor flow) is needed. + Good communication skills, ability to work with large cross-functional teams of technical and non-technical members Machine learning 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/ R0017716 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.
          (CHN-Shanghai) Applied Data Scientist   
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. + Aggregate huge amount of data and information from large numbers of sources to discover patterns and features necessary to build machine learning models that match eBay’s inventory with customers’ demand via Marketing channels. + Design and implement end-to-end solutions using Machine Learning, Optimization, and other advanced computer science technologies, and own live deployments to drive customer traffic to eBay. Qualifications + PhD or MS in computer science, engineering or related field + Excellent understanding of computer science fundamentals, data structures, and algorithms. Strong programming skills (one or more of Java, C/C++, Python) in corporate setting + Expertise in specialized areas such as Optimization, NLP, Reinforcement Learning, Probabilistic Inference, Machine Learning, Information Retrieval, Recommendation Systems. + Proven experience with large data sets and related technologies, e.g., Hadoop, Pig, Spark. Knowledge of SQL and NoSQL is needed. + Expert level experience in at least one of the ML learning software (R/Python/Scala/Tensor flow) is needed. + Good communication skills, ability to work with large cross-functional teams of technical and non-technical members Machine learning 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/ R0017527 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.
          datascience online training in hyderabad   
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          Executive Director Engagement Activation - Verizon - Basking Ridge, NJ   
This discipline works closely with other internal teams (centralized media functions – i.e. SEM, Data Sciences), Demand Activation Leads, Experience, Creative...
From Verizon - Thu, 29 Jun 2017 10:58:38 GMT - View all Basking Ridge, NJ jobs
          Data Science Analyst   
Job detailsTweet (more) p GT
          Aye Finance expands South footprint with eight new branches   

[India], July 3 (ANI): Aye Finance, a Gugaon-based finance company in the micro and small enterprise lending space, has expanded its footprint in the Southern part of India by opening eight new branches.

These new branches are in the cities of Vijayawada, Guntur, Kakinada and Rajahmudry in Andhra Pradesh; Gulbarga and Raichur in Karnataka; Salem and Erode in Tamil Nadu.

Aye Finance now has 14 branches in the South to serve the micro and small businesses in Karnataka, Tamil Nadu and Andhra Pradesh

Aye lends to small-scale manufacturing, trading, and service sector businesses that cannot access capital from mainstream financial institutions in India as they lack sufficient documentation and often have no prior credit history.

Aye deploys data science methods to work around this obstacle and uses insights about the industry clusters. These insights coupled with advanced analytics and behavioural tools have enabled Aye to identify creditworthy clients and disburse loans more quickly and at affordable rates.

Sanjay Sharma, Managing Director, Aye Finance, said, "Aye Finance is at the cusp of a strong phase of growth. To meet our ambitious targets for the year, we will be opening 40 additional branches all over India."

He further added: "We are committed towards transforming the micro and small scale financing, and these additional eight branches in South will further our mission and allow us to reach out to a larger number of businesses and bridge the gap between MSMEs and organised lending."

Aye has been serving the micro and small enterprises in India since 2014 by making a ground level connect with the sector and offering customised and innovative financial products.

It is equity funded by three reputed investors - Accion International, SAIF Partners and LGT Impact ventures. It has raised multiple rounds of loans from over a dozen providers, including the State Bank of India, to extend finance to MSME business. (ANI)


          Data Scientist - RBC - Toronto, ON   
Data Science allows us to better understand the implications of what information means, identify trends, anticipate future behaviours, perform pattern matching,...
From RBC - Fri, 30 Jun 2017 19:20:41 GMT - View all Toronto, ON jobs
          Pricing Strategy Consultant - RiverPoint - Hoffman Estates, IL   
RiverPoint Group is looking for a Senior Data Scientist / Pricing Strategy Consultant with pricing strategy experience in any or all of the following industries...
From RiverPoint - Sat, 17 Jun 2017 09:46:21 GMT - View all Hoffman Estates, IL jobs
          Financial Market Data Manager/ Analyst - SQL   
NY-New York City, If you are a Data Manager with Financial Market Data experience please send me a resume and read on! We are a highly respected fundamental hedge firm with a rapidly growing Data Engineering / Data Science team. That said, we have an amazing opportunity to have a very high profile role. Your work will have a direct impact on discovery of investment signals that will generate billions of dollars. To
          Data Scientist Principal Engineer -RELO to OH   
OH-Akron, If you are a Data Scientist Principal Engineer with experience, please read on! Top Reasons to Work with Us 1. An awesome opportunity to work with Big Data & be part of high profile aviation projects for government & defense 2. We are privately held company, we continue to grow our Data Engineering team well into 2017 What You Will Be Doing Our Engineering team is developing multiple products for
          Analyst, Applied Analytics - Government of Saskatchewan - Regina, SK   
The knowledge and abilities required for this position would be obtained the completion of a graduate degree in data science or social science with a strong... $6,622 - $8,610 a month
From Government of Saskatchewan - Fri, 30 Jun 2017 10:29:27 GMT - View all Regina, SK jobs
          Data Analyst   
NY-Corning, Job Description Non-Exempt Position Hours of work/work schedule/flex-time: • 8:00AM – 5:00PM; Monday - Friday • 40 hour weeks and will involve overtime during certain projects or deadlines In this role you will be a key member in the newly formed Applied Advanced Analytics team. The successful candidate will collaborate with data scientist and engineers to implement sophisticated systems and techn
          Senior Data Scientist - Wade & Wendy - New York, NY   
Our team is backed by Slack, ffVC, Randstad and other great VCs, as we bring AI and machine learning to the recruiting/HR space - all in order to make the...
From Wade & Wendy - Mon, 05 Jun 2017 14:17:24 GMT - View all New York, NY jobs
          Hiring for Data Scientist in Bengaluru/Bangalore, for Exp. 2 - 4 yrs at Hashworks IT Services PVT LT (Job in Kolkata)   
Job Description:Data/Machine Learning Engineer Skills: Statistics, Machine Learning, Natural Language Processing, Python, Algorithms and Data Structures, E-Commerce domain, Dynamic Pricing, Recommendation Engine. Responsibilities: Develop appropriate text...
          Senior Cloud Engineer/Big Data Architect / Data Science - Corporate Technology - New York, NY   
Perform data analysis with business, understanding business process and structuring both relational and distributed data sets....
From Corporate Technology - Wed, 14 Jun 2017 16:40:06 GMT - View all New York, NY jobs
          (USA-WI-Waukesha) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *WI-Waukesha* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-WI-Milwaukee) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *WI-Milwaukee* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-WI-Fond du Lac) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *WI-Fond du Lac* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-VA-Alexandria) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *VA-Alexandria* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-VA-Roanoke) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *VA-Roanoke* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-TX-Denison) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *TX-Denison* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-VA-Richmond) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *VA-Richmond* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-OH-Valley View) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *OH-Valley View* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-PA-Harrisburg) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *PA-Harrisburg* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-OH-Worthington) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *OH-Worthington* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-OH-Mason) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *OH-Mason* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-NY-East Syracuse) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *NY-East Syracuse* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-OH-Cincinnati) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *OH-Cincinnati* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-NY-Melville) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *NY-Melville* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-NY-New York) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *NY-New York* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-NY-Middletown) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *NY-Middletown* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-NY-Albany) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *NY-Albany* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-NV-Reno) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *NV-Reno* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-NV-Las Vegas) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *NV-Las Vegas* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-MO-St. Louis) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *MO-St. Louis* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-NH-Manchester) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *NH-Manchester* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-MN-Gilbert) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *MN-Gilbert* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-MN-Eagan) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *MN-Eagan* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-MI-Dearborn) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *MI-Dearborn* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-ME-South Portland) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *ME-South Portland* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-MD-Columbia) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *MD-Columbia* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-MA-Andover) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *MA-Andover* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-KY-Louisville) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *KY-Louisville* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-IN-Indianapolis) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *IN-Indianapolis* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-IL-Chicago) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *IL-Chicago* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-IL-Deerfield) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *IL-Deerfield* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-IL-Westchester) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *IL-Westchester* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-GA-Savannah) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *GA-Savannah* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-GA-Atlanta) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *GA-Atlanta* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-GA-Columbus) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *GA-Columbus* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-GA-Midland) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *GA-Midland* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-DE-Wilmington) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *DE-Wilmington* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-CT-Wallingford) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *CT-Wallingford* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-CO-Colorado Springs) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *CO-Colorado Springs* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-CO-Denver) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *CO-Denver* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-CA-Walnut Creek) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *CA-Walnut Creek* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-CA-Thousand Oaks) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *CA-Thousand Oaks* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-CA-Rancho Cordova) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *CA-Rancho Cordova* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-CA-Newbury Park) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *CA-Newbury Park* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-CA-San Diego) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *CA-San Diego* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-CA-Woodland Hills) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *CA-Woodland Hills* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-CA-Los Angeles) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *CA-Los Angeles* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-CA-San Jose) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *CA-San Jose* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-CA-Diamond Bar) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *CA-Diamond Bar* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-CA-Downey) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *CA-Downey* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-CA-Costa Mesa) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *CA-Costa Mesa* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-CA-Glendale) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *CA-Glendale* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-CA-Cerritos) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *CA-Cerritos* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA-AZ-Tucson) Principal Data Scientist - 130212   
/Your Talent. Our Vision./*At Anthem, Inc.,*it’s a powerful combination, and the foundation upon which we’re creating greater access to care for our members, greater value for our customers, and greater health for our communities. Join us and together we will*drive the future of health care*. This is an exceptional opportunity to do innovative work that means more to you and those we serve at one of America's leading health benefits companies and a Fortune Top 50 Company. *This position is preferred being located in Chicago, IL but we will consider any Anthem location.* Lead the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Serve as the `methodology-expert¿ on the team and provide guidelines to team for applying appropriate algorithms or solutions to tackle different problems. Coach junior team members on various data science techniques. Keep abreast of the latest enhancements and innovations within the areas of data science and big data processing. Primary duties may include are but not limited to: Champion the design & execution of machine learning projects to address specific business problems determined by consultation with business partners. Provide guidance to the team on working with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics Computer Science Mathematics Machine Learning Econometrics Physics Biostatistics or related Quantitative disciplines. 7 years experience in predictive analytics and advanced expertise with software such as Python R SAS SAS Enterprise Miner or equivalent or any combination of education and experience which would provide an equivalent background. Experience leading end-to-end data science project implementation. Experience managing a small team either through formal or informal reporting relationship is preferred. PhD and experience in the healthcare sector preferred. 5 or more years with Text Mining or Natural Language Processing is preferred. Experience utilizing NLP applications such as topic models and sentiment analysis to identify patterns within data sets is preferred. Experience using open source NLP tools (such as NLTK), Apache Lucene, Solr, etc. is preferred. */Anthem, Inc. is ranked as one of America’s Most Admired Companies among health insurers by Fortune magazine and is a 2015 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company and apply, please visit us at antheminc.com/careers. EOE. M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Principal Data Scientist - 130212* **Location:** *AZ-Tucson* **Other Locations:** *IL-Chicago* **Requisition ID:** *130212*
          (USA) Data Scientist - 130219   
*Anthem, Inc.*is one of the nation's leading health benefits companies and a Fortune Top 50 company. At Anthem, Inc., we are working together to transform health care with trusted and caring solutions. Bring your expertise to our innovative culture where you will have the opportunity to make a difference in people’s lives, and to take your career further than you can imagine. *DATA SCIENTIST* We prefer this person to be located in*Chicago, IL, or New York City, NY preferred but will consider any Anthem location*. Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 3 years experience in*predictive analytics*or equivalent, or any combination of education and experience which would provide an equivalent background. PhD and experience in the healthcare sector preferred. Experience with health insurance fraud, waste and abuse is preferred. •Advanced expertise with software such as Python, R, SAS. Programming experience in Python is strongly preferred. •Experience working with distributed computing environment such as Hadoop. •Intermediate to Advanced knowledge of using with Hive, Impala or Apache Spark. •Intermediate to Advanced knowledge of data extraction and manipulation using SQL. */Anthem is ranked as one of America's Most Admired Companies among health insurers by Fortune magazine, and is a 2013 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company please visit us at/**/www.antheminc.com/careers/**/. EOE.M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Data Scientist - 130219* **Location:** *IL-Chicago* **Other Locations:** *NY-New York City, United States* **Requisition ID:** *130219*
          (USA-NY-New York City) Data Scientist - 130219   
*Anthem, Inc.*is one of the nation's leading health benefits companies and a Fortune Top 50 company. At Anthem, Inc., we are working together to transform health care with trusted and caring solutions. Bring your expertise to our innovative culture where you will have the opportunity to make a difference in people’s lives, and to take your career further than you can imagine. *DATA SCIENTIST* We prefer this person to be located in*Chicago, IL, or New York City, NY preferred but will consider any Anthem location*. Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops proprietary machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users. Publish results and address constraints/limitations with business partners. Provides high-level controllership/evaluation of all output produced to ensure established targets are met. Determines the continuous improvement opportunities of current predictive modeling algorithms. Proactively collaborates with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables. Requires MA/MS in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 3 years experience in*predictive analytics*or equivalent, or any combination of education and experience which would provide an equivalent background. PhD and experience in the healthcare sector preferred. Experience with health insurance fraud, waste and abuse is preferred. •Advanced expertise with software such as Python, R, SAS. Programming experience in Python is strongly preferred. •Experience working with distributed computing environment such as Hadoop. •Intermediate to Advanced knowledge of using with Hive, Impala or Apache Spark. •Intermediate to Advanced knowledge of data extraction and manipulation using SQL. */Anthem is ranked as one of America's Most Admired Companies among health insurers by Fortune magazine, and is a 2013 DiversityInc magazine Top 50 Company for Diversity. To learn more about our company please visit us at/**/www.antheminc.com/careers/**/. EOE.M/F/Disability/Veteran./* **Job** *Reporting & Data Analysis* **Title:** *Data Scientist - 130219* **Location:** *IL-Chicago* **Other Locations:** *NY-New York City, United States* **Requisition ID:** *130219*
          Data Science Manager   
Oakland, If you are a Data Science Manager with experience, please read on! Top Reasons to Work with Us Seeking a Data Science Manager. The right candidate is an organized individual who knows how to prioritize work and motivate him or herself and others. He or she is a good communicator, who knows how to listen and is able to communicate in an honest and diplomatic manner. What You Will Be Doing As a Data
          Data Scientist   

          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
          Packt - Learning Path Python Programming for Python Users   

Packt - Learning Path Python Programming for Python Users

Packt - Learning Path: Python: Programming for Python Users
English | Size: 2.09 GB
Category: Video Training

It's no NEWS that Python is the market-standard tool for data science. However, it's worth mentioning that Python has made a huge impact in the programming world. Python is a widely used high-level, general-purpose, interpreted, dynamic programming language.


          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
          AI Progress Measurement   

This pilot project collects problems and metrics/datasets from the AI research literature, and tracks progress on them. You can use this notebook to see how things are progressing in specific subfields or AI/ML as a whole, as a place to report new results you've obtained, as a place to look for problems that might benefit from having new datasets/metrics designed for them, or as a source to build on for data science projects.

(eff.org)


          Executive Director Engagement Activation - Verizon - Basking Ridge, NJ   
This discipline works closely with other internal teams (centralized media functions – i.e. SEM, Data Sciences), Demand Activation Leads, Experience, Creative...
From Verizon - Thu, 29 Jun 2017 10:58:38 GMT - View all Basking Ridge, NJ jobs
          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
          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
          IT Management Trainee - Cargill - Schiphol   
IT Management Trainee at Cargill. IT Management Trainee opportunity candidates will have an interest in different opportunities like Data Science, Business...
Van Cargill - Thu, 08 Jun 2017 16:44:00 GMT - Toon alle vacatures in Schiphol
          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
          Senior Data Architect - ASRC Federal - Moorestown, NJ   
Senior Data Architect. ASRC Federal Mission Solutions (AFMS) is seeking a Senior Data Scientist/ Architect to join its professional engineering team developing...
From ASRC Federal - Sat, 03 Jun 2017 01:36:31 GMT - View all Moorestown, NJ jobs
          Executive Director Engagement Activation - Verizon - Basking Ridge, NJ   
This discipline works closely with other internal teams (centralized media functions – i.e. SEM, Data Sciences), Demand Activation Leads, Experience, Creative...
From Verizon - Thu, 29 Jun 2017 10:58:38 GMT - View all Basking Ridge, NJ jobs
          AVP of Applied Analytics   
CA-Aliso Viejo, RESPONSIBILITIES: Kforce has a client that is searching for a AVP of Applied Analytics in Aliso Viejo, California (CA). Essential Functions: Lead the analytics team in creating high quality analysis for all aspects of our business with heavy emphasis on customer intimacy to drive outcomes through effective decision making Hire and develop a highly talented and effective data science team Define an
          (USA-WA-Seattle) Data Engineer, Amazon Devices   
Data Engineer, Amazon Devices Job ID 552070 Location US-WA-Seattle Posted Date 6/27/2017 Company Amazon Corporate LLC Position Category Business Intelligence Recruiting Team .. Job DescriptionDo 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. We are currently looking for a talented data engineer to play a key role in implementing our next generation datamart solution and making use of latest machine learning and big data technologies to provide deeper insights about each of our devices and Amazon customers. Amazon has a culture of data-driven decision-making and demands business intelligence that is timely, accurate, and actionable. A data engineer should be able to develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for the Devices organization. The ideal candidate will have extensive experience with traditional Data Warehouse (DW) concepts and have the aptitude to incorporate new approaches and methodologies while dealing with big data. Excellent business and communication skills are a must to develop and define key business questions and to build data sets that answer those questions. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. Basic Qualifications- Minimum 6 years experience with RDBMS concepts and hands on working skills with Oracle/SQL server/MySQL databases in a business environment - Experience using SQL queries, experience in writing and optimizing SQL queries - Experience in data visualization software or UI experience (Tableau/Qlikview) - Experience in BI projects converting business needs to data warehousing and reporting solutions - Bachelor's Degree in a scientific area Preferred Qualifications-Experience in design and development of Data warehousing architecture - Experience in designing and architecting large data warehouse systems, dimensional modeling - Experience in big-data using Redshift, hadoop, hive, and/or other open-source tools/technologies would be a plus - Some experience leveraging SAS, R or matlab to manipulate data and set up automated processes as per business requirement - Experience with AWS/Cloud based solutions - Strong ability to interact, communicate, present and influence within multiple levels of the organization - Masters degree - Excellent communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
          (USA-WA-Seattle) Finance Manager - Consumer Marketing Analytics   
Finance Manager - Consumer Marketing Analytics Job ID 553865 Location US-WA-Seattle Posted Date 6/30/2017 Company Amazon Corporate LLC Position Category Finance & Accounting Recruiting Team .. Job DescriptionAmazon Consumer Marketing Finance seeks a Sr Financial Analyst to support the Consumer Marketing Analytics (CMA) team, which is responsible for generating customer understanding and insights, Customer Targeting applications, and Marketing Attribution. Products that CMA develop are built from the ground up, cutting edge technologies that fuse Big Data with concepts from Machine Learning, Economics and other fields like Data Science. These innovations help make strategic investment decisions and define the customer engagement metrics by which Amazon runs its business globally. This role will influence the metrics that make customer messaging more personal. The Sr. Financial Analyst would partner with the CMA business/tech teams. S/he has a passion for learning about complex econometric models and communicating to a non-technical audience in a crisp manner. The successful candidate will have strong analytic and communication skills, and have a passion for using data to drive business decisions. We are looking for a self-starter that attacks complex business problems with curiosity and dives deep to identify root causes. This individual thrives by providing data-driven decision support and business intelligence that is timely, accurate, and actionable. Basic Qualifications Bachelor's degree in finance, accounting, business, economics, or related field 5+ years of relevant Finance experience Preferred Qualifications Master's degree in finance, accounting, business, economics, or related field Advanced knowledge of Excel Strong analytical, financial modeling and reporting skills Persuasive oral/written communication skills Knowledge of SQL is desirable Must be comfortable working in cross-functional teams Ability to demonstrate strong leadership Excellent communication and persuasion skills Amazon is an Equal Opportunity-Affirmative Action Employer - Female/Minority/Disability/Veteran/Gender Identity/Sexual Orientation Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
          Data Scientist - Focal Systems - Canada   
Bachelors in CS / EE / Math / Stats / Econ or equivalent. Focal produces terabytes of data every week and parsing through that data is extremely challenging but...
From Focal Systems - Fri, 30 Jun 2017 10:39:37 GMT - View all Canada jobs
          Data Scientist - Hitachi Consulting Services Canada Corporation - Toronto, ON   
Software experience with Informatica and EBS. About Hitachi Consulting Corporation....
From Hitachi - Sat, 01 Jul 2017 11:50:16 GMT - View all Toronto, ON jobs
          4th International Conference on Innovations in Computer Science and Engineering   
The book is a collection of high-quality peer-reviewed research papers presented at the Fourth International Conference on Innovations in Computer Science and Engineering (ICICSE 2016) held at Guru Nanak Institutions, Hyderabad, India during 22 – 23 July 2016. The book discusses a wide variety of industrial, engineering and scientific applications of the emerging techniques. Researchers from academic and industry present their original work and exchange ideas, information, techniques and applications in the field of data science and analytics, artificial intelligence and expert systems, mobility, cloud computing, network security, and emerging technologies.
          USI MD - Eminence - Assistant Manager-Data Scientist-Hyderabad - Deloitte - Hyderabad, Telangana   
Senior Analyst: Eminence CoE- Data Sciences Function: U.S. India Enabling Areas Service Area: Market Development Service Line: Eminence CoE-Data Sciences...
From Deloitte - Thu, 08 Jun 2017 15:29:26 GMT - View all Hyderabad, Telangana jobs
          USI MD - Eminence - Assistant Manager-Data Scientist-Hyderabad - Deloitte - Hyderabad, Telangana   
Senior Analyst: Eminence CoE- Data Sciences Function: U.S. India Enabling Areas Service Area: Market Development Service Line: Eminence CoE-Data Sciences
From Deloitte - Thu, 08 Jun 2017 15:29:26 GMT - View all Hyderabad, Telangana jobs
          Data Scientist - AE - Heverlee   
Je vertaalt functionele en niet-functionele high-level vereisten naar een correcte decision support strategie (identificatie en combinatie van verschillende...
Van AE - Mon, 20 Mar 2017 05:28:59 GMT - Toon alle vacatures in Heverlee
          【2017新书】Practical Data Science Cookbook, 2nd Edition   
[*]Title: Practical Data Science Cookbook, 2nd Edition [*]Author: Bhushan Purushottam Joshi, Prabhanjan Tattar [*]Length: 458 pages [*]Edition: 2nd Revised edition [*]Language: English [*]Publisher: Packt Publishing [*]Publication Date: 2017- ...
          Software Sales Hunter, Data Science Solutions - EXPERIAN - Texas   
SAS, FICO, Fiserv, Oracle, SAP, IBM, Amdocs, Pegasystems, Sungard, TIBCO, etc…) is preferred. Job Description - Software Sales Hunter, Data Science Solutions ...
From Experian - Sat, 22 Apr 2017 11:04:53 GMT - View all Texas jobs
          Associate Data Science Business & Operations Management Director - Astellas Pharmaceuticals - Northbrook, IL   
Astellas offers an environment where our employees can make a real difference. Establishes, manages and updates the training curricula for vendor staff in line...
From Astellas Pharmaceuticals - Mon, 19 Jun 2017 20:03:12 GMT - View all Northbrook, IL jobs
          The Queen is hiring people to keep her royal homes 'spotless' and care for 'historic vases and irreplaceable paintings'   

Queen windsor castle

Two new job vacancies have been posted on The Royal Household website — and there's no experience necessary.

The advertised roles are for daily cleaners at Windsor Castle and the Palace of Holyroodhouse.

The positions are full time or part-time, five days a week. The main objective is "knowing a room is spotless before thousands of visitors arrive."

Candidates will be in charge of ensuring all areas including the visitor route, public areas, staff offices, State rooms, and accommodation look their very best.

As well as vacuum cleaning, dusting and bleaching, the winning candidates will also clean and care for "historic vases and irreplaceable paintings."

Previous cleaning experience is not necessary, but the ideal candidates should have excellent teamwork skills.

"You clearly take care and pride in your work, and your keen attention to detail means that you aim for the highest standards in all that you do," the advert reads. "It's a busy environment, but with good time management skills, you'll work with your team to get everything done."

In return, you'll get 33 days holiday. Free lunch is also thrown in.

There's no salary listed, and previous research has shown us that there is a lot of discrepancy in the wages earned when working for Queen Elizabeth II, so it's a bit of a gamble.

The closing dates for applications are July 20 and 23 for Holyroodhouse and Windsor respectively. If this sounds like your ideal role, you can apply here.

Join the conversation about this story »

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          Commercial Data Analyst - Skyscanner - Edinburgh   
Combining Commercially Insightful Analysis and Data Science this is a rewarding, varied and highly impactful opportunity core to driving sustainable, hyper...
From Skyscanner - Thu, 22 Jun 2017 22:06:17 GMT - View all Edinburgh jobs
          Vector Recruitment Ltd: Scientific Data Scientist   
£35000 - £60000 per annum + Excellent package inc. bonus: Vector Recruitment Ltd: We are looking for ambitious Data Scientists with experience of drawing insight from a diverse range of scientific data to join an award winning Technology Company in Cambridgeshire. This is a fantastic time to join a brand new team at a highly successful Royston, Hertfordshire
          Vector Recruitment Limited: Scientific Data Scientist   
£35k - £60k pa + Excellent package inc. bonus: Vector Recruitment Limited: We are looking for ambitious Data Scientists with experience of drawing insight from a diverse range of scientific data to join an award winning Technology Company in Cambridgeshire. This is a fantastic time to join a brand new team at a highly successful Royston
          Vector Resourcing: Scientific Data Scientist   
£35000 - £60000 per annum + Excellent package inc. bonus: Vector Resourcing: We are looking for ambitious Data Scientists with experience of drawing insight from a diverse range of scientific data to join an award winning Technology Company in Cambridgeshire. This is a fantastic time to join a brand new team at a highly successful Royston
          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
          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/Engineer - Wealthsimple - Toronto, ON   
Being a swiss army knife. Wealthsimple is Canada's largest and fastest growing online investment manager....
From WealthSimple - Fri, 30 Jun 2017 16:26:07 GMT - View all Toronto, ON jobs
          Lo que aprendimos en A Coruña: conclusiones sobre la Ciencia de Datos   
TweetAcabamos de celebrar en A Coruña, en la sede de Afundación, el primer Summit sobre Data Science de la Fundación CorBI (Coruña Biomedical Research Institute), con el que CorBI Foundation pretendía abrir un foro de discusión en torno a la relevancia del tratamiento del Big Data en los campos de la neurociencia y el cambio [...]