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Sr. Data Scientist (Predictive Modeling) job

Aetna, a CVS Health Company jobs

Company

Skills

Company Description

www.proresources.com

Job Description

 **PLEASE NOTE ONLY CANDIDATES WILLING TO RELOCATE TO A COMMUTABLE DISTANCE OR IN THE HARTFORD, CT  OR WELLESLEY, MA locations can be considered at this time** 

Candidate MUST have at least 3+ years of Real Time Work Experience with Predictive Modeling**

Candidate MUST have:  3+ years of Real Time Work Experience & Strong skills in SQL, SAS Eg, R or Python & with hadoop tech including Hive and/or Pig

ABOUT US

At Aetna, we’re pioneering a total approach to health and wellness. As a Senior Data Scientist on the Analytics & Behavior Change team, you’ll build leading-edge analytics, data and technology platforms to help reimagine health care. We’ll count on you to help solve problems and deliver meaningful insights to our customers by leveraging innovations in data science, machine learning and predictive modeling techniques. And we’ll support you in achieving more in your life and your work.

ABOUT THE TEAM

Senior Data Scientist on the Pricing Analytics team will be focused on building machine learning models and statistical solutions that will improve the efficiency of Aetna’s pricing methodologies. The solutions built by the will support Sales, Actuarial and Underwriting organizations in improving Aetna’s pricing competitiveness in the market place. These solutions provide laser sharp focus to the opportunity areas that will fuel sustainable growth for Aetna.

ABOUT THE ROLE

Does thought provoking and constantly stimulating environment where you do not “only code” but “problem solve” excite you? Do you enjoy the company of smart data scientists and analyst to collaborate and learn? This is the place for you. Data Scientist of the Pricing Analytics team will get the opportunity to learn and experience the entire spectrum of analytics from identification of the problem area, refining the use case, building an advanced analytical solution, implementing into functional workflow and realize real-time impact. You can not only grow as a data scientist but as a well-rounded thought leader in the field of Data Science.

POSITION SUMMARY

  • Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
  • Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.
  • Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics.
  • Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions.
  • Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.
  • Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
  • Use strong programming skills to explore, examine and interpret large volumes of data in various forms.  



Fundamental Components:

  • 5 or more years of progressively complex analytics experience.
  • Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas.
  • Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources.
  • Anticipates and prevents problems and roadblocks before they occur.
  • Demonstrates strong ability to communicate technical concepts and implications to business partners.  
  • Ability to frame a business problem and identify analytical methods to best solve the problem; Strong understanding of analytical approaches to use for the specific problem use case
  • Exposure to leading peers through modeling workstreams to build an solution
  • Experience productionalizing models and facilitating adoption by business stakeholders through close collaboration.  

EDUCATION
The highest level of education desired for candidates in this position is a Bachelor's degree with progressive experience or Master’s degree in the field of Analytics, Statistics, Computer Science and other fields of engineering

#LI-SLT1

TASKS

  • Analyze and interpret statistical data to identify significant differences in relationships among sources of information.
  • Identify relationships and trends in data, as well as any factors that could affect the results of research.
  • Determine whether statistical methods are appropriate, based on user needs or research questions of interest.
  • Prepare data for processing by organizing information, checking for inaccuracies, and adjusting and weighting the raw data.

SKILLS

  • Reading ComprehensionUnderstanding written sentences and paragraphs in work related documents.
  • Active ListeningGiving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
  • WritingCommunicating effectively in writing as appropriate for the needs of the audience.
  • SpeakingTalking to others to convey information effectively.

KNOWLEDGE

  • Computers and ElectronicsKnowledge of circuit boards, processors, chips, electronic equipment, and computer hardware and software, including applications and programming.
  • MathematicsKnowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications.
  • English LanguageKnowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition, and grammar.

Aetna, a CVS Health Company

Type

Company - Public

Size

Large

Location

Multiple locations

Founded

1853

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