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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

Data Scientist

Primary Location: Cupertino, California
Additional Locations: CA-Cupertino
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Description:
Looking for opportunities to use cutting edge technologies analyzing petabytes of data in a world class Hadoop cluster, generating insights to guide consumers in their journey to wellness and help them achieve their health ambitions, whether its running the Inca Trail Marathon or playing tackle football with their grandkids? Aetna's Member Analytics team is focused on delivering strategically-impactful programs and tools to help members across all life stages feel the joy of achieving their best health, in their own way.
SUMMARY
This position is for a seasoned data scientist role in the experimentation and campaign management platform team that will help to develop a world class experimentation, optimization and personalization platform. The candidate will work with a team of data scientists to develop analytics module with a full suite of A/B testing features, build machine leaning models to provide real time next best action for users and create a self learning optimization engine.
This is a unique opportunity to work on new transformation initiatives with CVS Health as a result of the recent company merger


Fundamental Components:
Fundamental Components
  • Collaboration
  • Motivates team members and probes into technical detail, champions 360 degree feedback
    • Experience with statistical analysis, ETL
  • Work with other data scientists to design and build mechanisms to summarize the interpretations and conclusions of experiments
  • Use advanced algorithms and statistical predictive models to evaluate scenarios and potential future outcomes
    • Build recommendation engines to surface the next best action for the user
    • Work with other data scientists to build reinforcement leaning based optimization engines
    • Stakeholder management
  • Consults with business partners to understand problems and goals, understand business value, and translate into business opportunities to be captured through predictive analytics solutions
    • Demonstrates superior communication skills, and ability to develop and participate in presentations and consultations to business stakeholders on analytics results and solutions


Background Experience:
  • 2-4 years of relevant work experience within eCommerce, digital analytics, insurance, finance or other related fields
  • Experience with big data, preferably using Spark, Hadoop and Hive.
  • 3+ years experience in statistical analysis, algorithms, building machine learning models
  • Familiarity with experiment design
  • Experience with using R, Python. PySpark to manipulate large data sets and develop statistical models
  • Excellent problem solving skills, critical thinking and conceptual thinking abilities
  • Superior skills to effectively communicate technical ideas and results to non-technical clients in written and verbal form
  • Ability to negotiate and manage interactions across the business and project stakeholders
  • Experience regularly working collaboratively with others to solve problem


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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