Join CVS Health as a Data Scientist, Provider Selection Methodology

Are you ready to bring your heart to CVS Health? At CVS Health, we all share a single, clear purpose: Bringing our heart to every moment of your health. This purpose drives our commitment to delivering enhanced, human-centric healthcare in a rapidly evolving world. Anchored in our brand — with heart at its center — our purpose highlights the importance of not just what we deliver, but how we deliver our services.

Our Heart At Work Behaviors™ support this purpose. We want everyone at CVS Health to feel empowered by the role they play in transforming our culture, accelerating our innovation, and delivering solutions to make healthcare more personal, convenient, and affordable.

Position Summary

The Provider Selection Methodology team collaborates closely with the Network, Clinical, and Product teams to develop essential algorithms that evaluate healthcare providers' performance using Quality and Cost Effectiveness measures. As a data scientist on this team, you'll participate in the development, validation, and delivery of algorithms, statistical models, machine learning algorithms, and reporting tools.

What You Will Do

On a daily basis, a data scientist on the Provider Selection team will:

• Develop, validate, and execute algorithms and predictive models to investigate healthcare data problems, detect patterns, and recommend solutions.
• Explore, examine, and interpret large volumes of structured and unstructured data in various forms.
• Implement advanced statistical techniques to analyze data and solve moderately complex business problems.
• Develop data pipelines to collect, organize, and standardize data that helps generate insights and address business reporting needs.
• Use data visualization techniques to effectively communicate analytical results and support business decisions.
• Assess and evaluate data requirements for assigned projects, ensuring data integrity.
• Explore existing data and recommend additional data sources for improvements.
• Document projects, including business objectives, analytical-based decisions, and detailed sets of results.

This role requires extensive experience with SQL, Python, Spark, command line tools, and cloud computing platforms such as AWS, GCP, and MS Azure. A demonstrated interest and working knowledge in the healthcare domain data are essential.

Required Qualifications

• Bachelor's degree and 1+ years of work experience OR a Graduate degree
• Proficient with Python and SQL

Preferred Qualifications

• 1+ years working with GCP
• Ability to translate business needs into analytical solutions and explain results to non-technical end users.

Education

Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. A Master's degree is preferred.

Pay Range

The typical pay range for this role is: $82,915.00 - $175,100.00. This range represents the base hourly rate or annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on various factors, including experience, education, geography, and other relevant factors. This position is also eligible for a CVS Health bonus, commission, or short-term incentive program in addition to the base pay range listed above.

Benefits

In addition to your compensation, enjoy the rewards of working at CVS Health, an organization that puts heart into caring for colleagues and communities. Benefits include:

• Medical, dental, and vision benefits
• Enrollment in the Company’s 401(k) retirement savings plan
• Employee Stock Purchase Plan (for eligible employees)
• Fully-paid term life insurance plan (for eligible employees)
• Short-term and long-term disability benefits
• Numerous well-being programs, education assistance
• Free development courses, CVS store discount, and discount programs with participating partners
• Paid Time Off (PTO) or vacation pay
• Paid holidays throughout the calendar year

For more detailed information on available benefits, please visit .

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