Skip to main content

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.

Back to Job Navigation (Overview)

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

Back to Job Navigation (Success)

Benefits

  • Health

  • Wellness

  • Financial

  • Paid Time Off & Disability

  • Life Insurance

  • Additional Benefits

Back to Job Navigation (Rewards)

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: Hartford, Connecticut
Additional Locations: CT-Hartford
Apply
Description:

Participate in the design, build and management
of large scale data structures and pipelines for efficient
Extract/Load/Transform (ETL) workflows. Architect frameworks for data flow and
development of analytical and machine learning applications. Develop large
scale data structures and pipelines to organize, collect and standardize data
that helps generate insights and addresses reporting needs. Write ETL (Extract
/ Transform / Load) processes, design database systems and develop tools for
real-time and offline analytic processing. Collaborate with data science team
to transform data and integrate machine learning algorithms and models into
automated processes. Use knowledge in Hadoop architecture, HDFS commands and
experience designing and optimizing queries to build data pipelines. Use strong
programming skills in Python, Java or any of the major languages to build
robust data pipelines and dynamic systems. Build data marts and data models to
support Data Science and other internal customers. Integrate data from a
variety of sources, assuring that they adhere to data quality and accessibility
standards. Analyze current information technology environments to identify and
assess critical capabilities and recommend solutions. Experiment with available
tools and advise on new tools in order to determine the optimal solution given
the requirements dictated by the model/use case. Develop metadata architecture
and integrate with Aetna’s core IT environment. Interact 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.



Fundamental Components:



Background Experience:



Master’s degree in Computer Science, Engineering,
Business Analytics or related field.




Minimum two years of machine learning,
IOT and data analytics experience.
Must have experience
with large scale search applications and building high volume data pipelines;

building data transformation and processing solutions;
and designing & optimizing queries against data in the HDFS environment.

Must have experience with the following tools/technologies: Hadoop architecture; HDFS commands; Java; Python; Hive;
Cassandra; Pig; bash shell scripts; UNIX utilities & UNIX Commands; and MySQL
and/or NoSQL.




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)

Apply

Employee Photos

Sign up for Job Alerts

Explore This Area

Check out where you could be working if you apply.

View Map

Similar Jobs

Join Our Talent Community

Sign up to receive information about job openings that are tailored to your skills and interests. Plus, get the latest career news from Aetna.