Senior Data Scientist

Company: CVS Health

Location: Washington, DC (Remote)

Salary: $92,700 - $222,480 a year

Type: Full-time

Remote: Yes

Posted: 2026-04-02

About this role

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary

At Aetna®, part of CVS Health, we proudly serve more than 26 million medical members through our broad range of health plan offerings. We're committed to delivering a simpler, more meaningful, and personal health care experience to each of them.

As a Senior Data Scientist you will be working on a Medicare Analytics team that will help make business decisions and, you will play a critical role in supporting our Aetna members and our business.

Come work at a place where innovation is encouraged and impact is real. You’ll have the opportunity to build models, experiment with creative ideas, and introduce new approaches to solving complex Member Experience challenges and making a direct difference in our members lives.

Responsibilities:

  • **Model Development:** Develop and implement advanced machine learning models for forecasting and predictive analytics. As a key member of our team, you will be responsible for developing and standardizing forecasting applications using time series techniques to provide forward-looking insights to our members, to improve Member experience
  • **ML-Ops:** Develop, deploy and maintain machine learning models in production, ensuring robust and scalable solutions.
  • **Collaboration:** Work closely with cross-functional teams, including product managers, engineers, and business analysts, to understand business needs and deliver data-driven solutions.
  • **Innovation:** Stay up-to-date with the latest advancements in data science and machine learning, and apply them to improve ex...

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