Sr Data Scientist (Conversion)

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
Enable data-driven merchandising decisions by providing trusted data, reporting, and advanced analytics to RAAD teams and business leaders, transforming complex data into actionable insights that drive enterprise impact.

The new hire will support front store analytics and decisioning by building and scaling data science, reporting, and AI-enabled solutions that help business partners make faster, better merchandising decisions. This role will work across large internal and external data sets to develop models, analytics, and tools that improve visibility into performance, identify growth opportunities, and support strategic initiatives across merchandising, pricing, assortment, and category planning.

The role will also help design, build, and enhance AI-agent functionality that improves how analytics are produced, accessed, and operationalized. That includes supporting agent-based workflows for data extraction, insight generation, decision support, reporting automation, and user interaction with analytics tools. The new hire will partner with cross-functional stakeholders to translate business questions into scalable analytical products, modernize legacy processes, and develop capabilities that combine strong business judgment with machine learning, automation, and AI-agent applications.

Required Qualifications
Strong SQL/Python and data-wrangling skills, with the ability to write scalable, production-level code
Ability to design, test, improve, or support AI-agent functionality and agent-based workflows for analytics, automation, insight generation, or user interaction with analytical tools

Preferred Qualifications
Experience building, supporting, or operationalizing AI-enabled tools, agent-based workflows, or analytics automation capabilities
Experience in retail, CPG, merchandising, pricing, loyalty, customer analytics, or other large-scale consumer data environments

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Operation Research, Engineering or related field.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$101,970.00 - $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

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.