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Data Science

At Aetna, a CVS Health Company, we’re pioneering a total approach to health and wellness. As a 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.

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Success Profile

What makes a successful data scientist? Here are the traits we are looking for:

  • Adaptable
  • Analytical
  • Curious
  • Logical
  • Problem-solver
  • Results-driven
  • Collaborative
  • Communicator
  • Creative
  • Efficient
  • Innovative
  • Insightful
  • Organized
  • Persistent

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Benefits

  • Health

  • Wellness

  • Financial

  • Paid Time Off & Disability

  • Life Insurance

  • Additional Benefits

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Employee Quotes

At Aetna, a CVS Health Company Analytics, the team uses machine learning techniques and data visualization to derive insights from the data to guide our efforts to understand and care for our members more effectively and at a lower cost. Each team member is responsible for a new weekly insight. We have a great mix of new graduates and senior data scientists. I’m constantly blown away at the talent, creativity and drive on our team!

Karen S., Senior Director - Enterprise Analytics

Working at Aetna, a CVS Health Company, gives you the opportunity to use the data to make a change. A change that could save lives, could prevent fraud, a change that really matters and a chance to work with like-minded people to make a difference. A great team, helpful colleagues, intelligent co-workers make the journey to learn and innovate that much more fun.

Tanvi K., Data Scientist - Clinical Analytics

Job Details

Senior Data Scientist - 71640BR

Primary Location: Hartford, Connecticut
Additional Locations: CT-Hartford
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Description:
Aetna - SR Data Science position opening

Fundamental Components:
Participate in validation and delivery of algorithms, statistical models and reporting tools. Maintain and update existing data analytic process models, and reports. Solve complex analytical problems, develop and use algorithms and statistical/ machine learning predictive models on health care data. Determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes. Perform analyses of structured and unstructured health care data to solve multiple and complex business problems utilizing advanced statistical/ machine learning techniques, mathematical analyses and broad knowledge of the organization. Design evaluation frameworks and perform program evaluations on health care programs. Work with business partners to understand their problems and goals in order to design analytical solutions strategy. Develop and participate in presentations and consultations to existing and prospective constituents on analytics results and solutions. Engage with internal and external peers and managers to exchange complex information related to areas of specialization.

Background Experience:
Master’s degree in Business Analytics, Statistics, Mathematics or a related field.

Minimum 1 year of experience implementing end to end analytical solutions to solve complex business problems using mathematical analysis, statistical/machine learning algorithms and probability models. Must have experience with: building supervised and unsupervised statistical/machine learning algorithms; designing and performing program evaluations including A/ B Testing, propensity score matching; conducting data manipulation, data cleansing, data transformations, feature engineering, text mining and building scalable algorithms; and managing large data sets using SQL and performing query optimization to expedite data extraction. Must also have experience with SAS and R.


Clinical Licensure:
N/A

Potential Telework Position:
No

Percent of Travel Required:
N/A

EEO Statement:
Aetna is an Equal Opportunity, Affirmative Action Employer

Benefit Eligibility:
Benefit eligibility may vary by position.

Candidate Privacy Information:
Aetna takes our candidate's data privacy seriously. At no time will any Aetna recruiter or employee request any financial or personal information (Social Security Number, Credit card information for direct deposit, etc.) from you via e-mail. Any requests for information will be discussed prior and will be conducted through a secure website provided by the recruiter. Should you be asked for such information, please notify us immediately.

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