Senior Data Scientist - Risk Prediction

y 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.We are especially interested in candidates who embrace emerging technologies and can thoughtfully incorporate AI into their data science processes to drive efficiency, insight, and innovation.Overview:

• Demonstrated ability to integrate AI-powered solutions into data science workflows, including data preparation, feature engineering, modeling, and reporting

• 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

• Extensive experience with SQL, Python, Spark & Cloud computing (AWS, GCP, MS Azure)

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

Anticipated Weekly Hours
40Time Type
Full timePay Range

The typical pay range for this role is:$111,240.00 - $222,480.00This 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 peopleWe take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefitsWe anticipate the application window for this opening will close on: 08/31/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.