Senior Data Scientist - CMX

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 As a Sr. Data Scientist at CMX, you will lead the development and deployment of cutting-edge Generative AI (GenAI) solutions within one of the largest health-aligned enterprise ecosystems. This role focuses on building scalable, production-grade systems using Python and modern frameworks, with applications such as Retrieval-Augmented Generation (RAG) and intelligent agents. You will work at the intersection of data science, engineering, and MLOps, collaborating with stakeholders to clarify requirements and deliver impactful solutions that enhance patient and consumer experiences.

Key Responsibilities In this role, you will:

Design and implement GenAI solutions, including RAG pipelines and agent-based systems, for enterprise-scale applications.

Build and optimize backend systems using Python and frameworks like FastAPI, ensuring robust and efficient deployments.

Collaborate with data engineering and MLOps teams to integrate models into production workflows.

Work consultatively with stakeholders to understand business needs, present results, and guide technical decisions.

Contribute to best practices for coding standards, workflow efficiency, and distributed computing

Required Qualifications 3+ years of coding experience (primarily on Python).3+ years of experience in backend systems development (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 Lang Chain, Lang Graph, or similar.

Experience working in cloud environments (GCP, Azure, or AWS).Strong collaboration skills and ability to thrive in agile team settings.

Ability to communicate technical concepts effectively to stakeholders.

Preferred Qualifications Experience integrating GenAI solutions and agentic design into enterprise workflows.

Exposure to MLOps practices and tools (e.g., Jenkins, Docker)
Experience in Front End development

Experience in Ad-tech is a plus

Education

Master's degree or equivalent work experience in a relevant field.

PhD preferred.

Anticipated Weekly Hours
40

Time Type Full time

Pay Range The typical pay range for this role is:$ - $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  anticipate the application window for this opening will close on: 02/22/2026

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