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At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary

We are seeking a highly skilled and collaborative Data Scientist to join our team and lead the development of series of customized GenAI solutions. This role will focus on building scalable, production-grade systems using Python and modern frameworks, with a strong emphasis on generative AI applications such as Retrieval-Augmented Generation (RAG) and intelligent agents. The ideal candidate will thrive in a dynamic, agile environment and be comfortable working consultatively with stakeholders to clarify requirements and present results.

Required Qualifications

+ 3+ year of coding experience (Preferably Python)

+ 3+ years of experience in backend systems (FastAPI experience is a plus)

+ Proven track record of building and deploying GenAI solutions (e.g., RAG pipelines, agent-based systems)

+ Hands-on experience with GenAI frameworks such as LangChain, LangGraph, or similar

+ Experience working in cloud environments such as GCP, Azure, or AWS

+ Strong team player with excellent collaboration skills in agile settings

+ Ability to work consultatively with junior stakeholders, clarify needs, and communicate technical concepts effectively

Preferred Qualifications

+ Familiarity with healthcare (PBM / insurance) domains

+ Familiarity with B2B sales process

+ Experience integrating GenAI solutions into enterprise workflows

+ Exposure to MLOps practices and tools (Jenkins, Docker, etc.)

Education

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

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$111,240.00 - $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 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/benefits

We anticipate the application window for this opening will close on: 10/26/2025

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

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.