Senior Data Scientist - Risk Prediction Engine

CVS Health is hiring a Senior Data Scientist to advance a risk prediction engine by building next-generation predictive models with healthcare data and advanced machine learning methods. This onsite role in New York, NY combines hands-on modeling, analysis across structured and unstructured data, and collaboration with stakeholders to deliver analytics that support business-critical decisions.

What You’ll Do

• Develop and/or apply algorithms and statistical predictive models, determining analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
• Run analyses on structured and unstructured data to address multiple or complex business problems using advanced statistical techniques and mathematical analysis, with context from the organization and industry.
• Partner with business teams to clarify problems and goals, then build predictive modeling, statistical analysis, data reports, and performance metrics.
• Present analytics findings and solutions through presentations and consultations to internal and external constituents.
• Exchange complex information with internal and external peers and managers within areas of specialization.
• Apply strong expertise in algorithms and predictive models to investigate issues, identify patterns, and recommend solutions.
• Use strong programming skills to explore, examine, and interpret large volumes of data in multiple formats.
• Apply sound risk management judgment when developing and validating models used for business-critical decisions.
• Rapidly learn unfamiliar domains and methods, form hypotheses, and test efficiently to separate promising approaches from non-viable paths.
• Leverage SQL, Python, Spark, and cloud computing platforms including AWS, GCP, and MS Azure.
• Use large language models and AI/ML ecosystem tools to deliver impactful products, demonstrating practical 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 a 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 a 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 personal workflow, supported by strong algorithmic and risk management acumen.

Skills & Technologies

• SQL, Python, R
• Spark
• AWS, GCP, MS Azure
• Large language models, AI/ML ecosystem tools

Compensation, Schedule, and Work Type

• Location: New York, NY (onsite)
• Employment type: Full time
• Anticipated weekly hours: 40
• Pay range: USD 111,240 - 222,480 per yearly
• Application window closing: 11/22/2026

Benefits

• Medical, dental, and vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Other resources (based on eligibility)