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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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Benefits

  • 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

Principal Data Scientist

Primary Location: Hartford, Connecticut
Additional Locations: CT-Hartford
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Description:
Provide
strategic leadership for the development, validation and delivery of algorithms,
statistical models and reporting tools. Act as the analytic team lead for
highly complex projects involving multiple resources and tasks, providing
individual mentoring in support of company objectives. Lead development and
execution of new and/or highly complex algorithms and statistical predictive
models. Determine analytical approaches and modeling techniques to evaluate
scenarios and potential future outcomes. Establish analytical rigor and
statistical methods to analyze large amounts of data, using advanced
statistical techniques and mathematical analyses. Manage highly complex
analytical projects from data exploration, model building, performance
evaluation and testing. Apply in-depth knowledge of systems and products to
consult and advise on additional efforts across organization/enterprise.
Motivate team members and probe into technical details, and mentor others to do
the same. Provide thought leadership and direction for analytic solutions,
tools and studies. Anticipate and solve strategic and high risk business
problems with broad impact on the business area by applying leading-edge
theories and techniques to investigate problems, detect patterns and recommend
solutions. Provide guidance to develop enterprise-wide analytics strategy and roadmap.
Interact with internal and external peers and management to share highly
complex information / solutions related to areas of expertise and/or to gain
acceptance of new or enhanced technology / business solutions.








Fundamental Components:



Background Experience:



Master’s degree in Statistics, Mathematics or
Computer Science.



Minimum 3 years of analytics and/or risk
management experience. Must have experience with mathematical analysis methods;
machine learning; statistical analyses; and predictive modeling. Must have
experience working with advanced analytics tools and languages to analyze large
data sets from multiple data sources. Must also have experience with programming
with SAS; SQL; Python; R; big data technologies including Hadoop; Hive; Spark; PuTTY; and AI packages
including tensorflow and keras
.











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. Click here to review the benefits associated with this 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.

Click To Review Our Benefits (PDF)

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