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Data Science

At Aetna, 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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  • Health

  • Wellness

  • Financial

  • Paid Time Off & Disability

  • Life Insurance

  • Additional Benefits

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Employee Quotes

At Aetna 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, 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

Data Scientist

Primary Location: Hartford, Connecticut
Additional Locations: CT-Hartford

Fundamental Components:
Responsible for using statistical predictive modeling to evaluate scenarios and make predictions on future outcomes in order to solve complex business problems and support decision making. Analyze large data sets in real time databases and develop and implement mathematical approaches. Develop, validate and execute algorithms and predictive models to investigate problems, detect patterns and recommend solutions. Explore, examine and interpret large volumes of data in various forms. Perform analyses of structured and unstructured data to solve business problems using statistical techniques and mathematical analyses. Develop data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs. Utilize data visualization techniques to effectively communicate analytical results and support business decisions. Evaluate the data needs of assigned projects and assure the integrity of the data. Work on existing data and recommend additional sources of data for improvements. Document projects including business objectives, data gathering and processing, detailed set of results and analytical metrics.

Background Experience:
Master’s degree in Statistics, Business Analytics, Data Science or closely related.
Minimum one year of data science or programming analysis experience. Must have intermediate level experience in handling sensitive data and knowledge of healthcare industry. Experience must include tableau and Qlik-view; writing ETL pipelines; and working with Python, Spark or Scala; Must also have experience working with the following tools/technologies: Python; SQL, SAS; SPSS; Hive; and Apache-Spark.

Percent of Travel Required:

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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