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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

Lead Data Scientist

Primary Location: Wellesley, Massachusetts
Additional Locations: MA-Wellesley
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Description:
The Clinical Products data science team helps supercharge CVS-Aetna’s clinical programs to improve member health and lower costs. Given CVS-Aetna’s size, scope, and deep set of capacities, CVS-Aetna is an unparalleled platform to make a difference in healthcare in the US and beyond. The Clinical Products team has three main goals. First, CVS-Aetna is launching a series of clinical programs that use the resources of the combined CVS-Aetna, and our team delivers the advanced analytics to support those initiatives. Second, the team develops data-driven clinical recommendations that are delivered to members, their providers, and their caregivers. Finally, we build condition-specific models that help other parts of the company (e.g. pricing) better predict member care journeys.

About the position. A Lead Data Scientist will join the newly formed Clinical Products team and will be responsible for, end to end, projects that support one or more of the team’s three objectives. A Lead Data Scientist will lead a team that develops predictive models, works with clinical experts (e.g. doctors) to translate their subject matter expertise into machine learning models, sources data, and presents to technical and non-technical stakeholders. A Lead Data Scientist will also manage and be responsible for using the results of AB testing to improve the performance of the team’s statistical modeling and targeting. A Lead Data Scientist will also mentor team members.

Culturally, because we are a new team, we are looking for candidates who embrace the “explorer” mindset of asking questions, iterating quickly, being comfortable pivoting intelligently, and moving fast.


Fundamental Components:
  • Develops and/or uses algorithms and statistical predictive models, including advanced models.
  • Brings clinical insights to inform predictive models: is skilled at reading academic clinically oriented literature and collaborating with clinical subject matter experts to inform predictive models.
  • Performs analyses of structured and unstructured data to solve multiple and complex business problems. Utilizing advanced statistical techniques and mathematical analyses and specialized expertise in the Aetna and/or healthcare.
  • Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques.
  • Manages large and complex analytical projects from data exploration, model building, performance evaluation and testing
  • Behaves as mentor to junior team members to provide technical advice
  • Collaborates with business partners to develop technical /business approaches and new or enhanced technical tools
  • Interacts with internal and external peers and management to share highly complex information related to areas of expertise and/or to gain acceptance of new or enhanced technology / business solutions


Background Experience:
  • 7-10 or more years of progressively complex related experience
  • Demonstrates proficiency in all areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and advanced in-depth specialization in some areas
  • Solid understanding of health care industry, products, and systems
  • Deep knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
  • Strong skills to effectively communicate and negotiate across the business and in the external health care environment Demonstrates strong ability to communicate technical concepts and implications to business partners
  • Strong organizational, management and leadership skills
  • Excellent analytical and problem solving skills
  • Clinically oriented background or professional experience is a plus.


Potential Telework Position:
No

Percent of Travel Required:
0 - 10%

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.

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