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Senior Data Scientist - Risk Prediction

https://www.cvshealth.com/ Logo

CVS Health

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Location:
United States, New York

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

111240.00 - 222480.00 USD / Year

Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • 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

Nice to have:

  • 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
What we offer:
  • Affordable medical plan options
  • 401(k) plan (including matching company contributions)
  • employee stock purchase plan
  • no-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
  • paid time off
  • flexible work schedules
  • family leave
  • dependent care resources
  • colleague assistance programs
  • tuition assistance
  • retiree medical access

Additional Information:

Job Posted:
August 01, 2025

Expiration:
August 31, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
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