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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

Principal Data Scientist

Primary Location: Wellesley, Massachusetts
Additional Locations: MA-Wellesley

About the team.
The newly formed Clinical Products
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 Principal Data Scientist will join the newly formed Clinical Products
team and will be responsible for leading and providing technical vision for one
or (more likely) more projects.A
Principal Data Scientist will build 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 Principal Data Scientist will also lead and mentor team members.Finally, Principal Data Scientist will need
to help set the team’s coherent, actionable, and inspiring technical vision…and
she will need to inspire the team to execute on that vision.

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.

Open to candidates in our Wellesley or NYC locations.

Fundamental Components:

Lead team of 2-3 Data Scientists to develop and
deliver models that inform CVS-Aetna’s clinical programs.

Consults with business partners and clinical
leaders to understand problems and goals, understand business value, and
translate into business opportunities to be captured through predictive
analytics solutions.

Develops and/or uses advanced algorithms and
statistical predictive models and determines analytical approaches and modeling
techniques to evaluate scenarios and potential future outcomes

Demonstrates superior communication skills, and
ability to develop and participate in presentations and consultations to
business stakeholders on analytics results and solutions

Supports deployment of insights across multiple
channels, i.e., web, mobile app, email, social, call center, Apple watch

Motivates team members and probes into technical

Contributes Subject Matter Expertise (SME)
through interactions with team members, peers and managers to exchange complex
information related to areas of specialization

Mentors others, and champions 360-feedback
across team

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

Excellent analytical and problem solving skills.

Comprehensive knowledge of health care industry,
products, systems, business strategies and products

Clinically oriented background or professional
experience is a plus.

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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