Senior Data Scientist - Risk Prediction Engine
CVS Health
About the 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
Join our team of healthcare data scientists as we develop the next generation of risk prediction models. We're looking for data scientists to leverage their analytical & machine learning skills to help provide insights & model solutions to stakeholders across the CVS Health & Aetna organizations.
Our team routinely utilizes petabytes of data paired with extensive industry knowledge of actuarial partners to develop best-in-class machine learning models. We're looking to expand our team as we tackle more numerous & diverse use cases of the models we have been refining for nearly a decade now. You can help us overcome new challenges & build new solutions via the latest machine learning techniques. The team is looking for candidates with a passion for problem solving & quantitative analysis, strong algorithmic instincts, and the curiosity to learn new domains quickly and test ideas fast.
We are especially interested in candidates who embrace emerging technologies — including hands-on experience using AI tools to meaningfully increase their own productivity, and a working understanding of how large language models actually function — and who can thoughtfully incorporate AI into their data science processes to drive efficiency, insight, and innovation.
Overview:
Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
Performs 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
Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics
Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions
Interacts 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 solutions
Use strong programming skills to explore, examine and interpret large volumes of data in various forms
Applies sound risk management judgment when developing and validating models that inform business-critical decisions
Quickly ramps up on unfamiliar domains and methods, forming hypotheses and testing them efficiently to separate promising approaches from dead ends
Extensive experience with SQL, Python, Spark & Cloud computing (AWS, GCP, MS Azure)
Hands-on experience leveraging large language models and AI/ML ecosystem tools to deliver impactful products, with genuine fluency in how these models work under the hood
Required Qualifications
Bachelor's degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline
3+ years of professional experience in data analytics, BI, data engineering or applied data science
3+ years of experience with SQL and Python/R
Preferred Qualifications
Master's or PhD degree in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline
5+ years of professional experience in data analytics, BI, data engineering or applied data science
5+ years of experience with SQL and Python/R
Demonstrated track record of using AI tools to accelerate one's own workflow, paired with solid algorithmic and risk management acumen
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$111,240.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 11/29/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Responsibilities
- Develop and apply statistical and machine learning models to evaluate scenarios and predict outcomes.
- Analyze structured and unstructured data to solve complex business problems.
- Collaborate with business partners to develop predictive models, analyses, reports, and performance metrics.
- Present analytics results and solutions to internal and external stakeholders.
- Investigate problems, identify patterns, and recommend solutions using algorithms and predictive models.
- Explore and interpret large volumes of data using programming tools.
- Apply risk management judgment when developing and validating business-critical models.
- Test hypotheses efficiently and incorporate AI tools into data science workflows.
Qualifications
- Bachelor's degree in a relevant quantitative or technical discipline.
- 3+ years of professional experience in data analytics, BI, data engineering, or applied data science.
- 3+ years of experience with SQL and Python or R.
- Experience with Spark and cloud computing platforms such as AWS, GCP, or Microsoft Azure.
- Hands-on experience with large language models and AI/ML ecosystem tools, with an understanding of how LLMs work.
- Preferred: Master's or PhD in a relevant discipline.
- Preferred: 5+ years of relevant professional experience and 5+ years with SQL and Python or R.
- Preferred: Track record of using AI tools to improve workflow, with strong algorithmic and risk management skills.
Benefits
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings options
- Wellness programs and other resources
- Eligible for a CVS Health bonus, commission, or short-term incentive program
Skills mentioned
About CVS Health
CVS Health is the leading health solutions company, delivering care like no one else can. We reach more people and improve the health of communities across America through our local presence, digital channels and over 300,000 dedicated colleagues. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by simplifying health care one person, one family and one community at a time. Follow @CVSHealth on social media.