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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

Senior Data Scientist

Primary Location: New York, New York
Additional Locations: NY-New York
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Description:
Use statistical principals to evaluate scenarios and make predictions on future outcomes in order to solve highly complex business problems and support decision making. Analyze large data sets in real time databases. Develop and implement mathematical approaches and solve complex business problems. Participate in the development, validation and delivery of algorithms, statistical models and reporting tools. Convey the solution of complex numerical problem to technical and non-technical business partners. Develop and / or use algorithms and statistical predictive models and determine analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes. Perform analyses of structured and unstructured data to solve multiple and / or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and / or industry. Collaborate with business partners to understand the nature of their business and recommend an appropriate statistical approach to deal with business problems and measurements. Develop and participate in presentation and consultations to existing and prospective constituents on analysis results and solutions. Interact with internal and external peers and managers to exchange complex information related to areas of specialization. Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend proactive solutions. Use strong programming skills to explore, examine and interpret large volume of data in various forms.


Background Experience:
Master’s degree in Statistics, Mathematics or related

Minimum 1 year of experience with data analytics/engineering in the healthcare industry, either as a Data Engineer or Data Analyst. Must have experience using advanced analytics tools and languages to extract, transform and analyze large data sets from multiple data sources; extracting/manipulating large datasets; and experience handling large datasets for data processing, analytics and reporting purposes. Must also have experience with the following tools/technologies: Hadoop; Hive; Spark; Python; and SQL.


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.

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