Senior Data Scientist - CVS Media Exchange

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 Senior Data Scientist at CMX, you will have an opportunity to work at one of the largest health-aligned enterprise ecosystems spanning across retail industry, patient and consumer journeys, clinical decisioning support, and enabling precision customer education to support their needs at CVS and our partners. This role will be at the intersection for deployment of large-scale data science models and systems design, contribute to industry-leading insights and GenAI products with support from data engineering and MLOps. Continuous learning and improvement in both business subject matter expertise and emerging algorithms and techniques will be a key focus.

Job Description

In this role, the Senior Data Scientist will establish the best practices, create workflow efficiencies, elevate coding standards, and work with distributed computing, model training, and MLOps for the team.

Key Responsibilities

• Build and facilitate machine learning and institutionalize Generative AI solutions across large-scale systems and campaigns, ensuring deployment and updates in collaboration with data engineering.

• Develop and participate in presentations and consultations to existing and prospective stakeholders on analytics results and solutions.

• Collaborate with internal and external peers and managers to exchange complex information related to areas of specialization.

Required Qualifications

• 3+ years of progressively complex related experience

• Experience in building end-to-end machine learning models and data-intensive systems in production

• Strong background in Data Science with a focus on software development best practices along with high proficiency in Python, SQL, and MLOps and 3+ years of experience in cloud environments

• Proficiency in mathematical analysis methods, machine learning, statistical analyses, and predictive modeling, with in-depth specialization in certain areas

Preferred Qualifications

• Demonstrated ability to design and build distributed data-intensive products including Front End and coding in React is a plus

• 2+ years of experience with Google Cloud Platform (GCP) is a major plus

• Familiarity with Generative AI and agentic design is a plus

• 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:

$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 a