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

CVS Health seeks a Decision Scientist to join the Merchandising Analytics team within Analytics & Behavior Change. In this individual contributor role, you will shape and execute a customer-centric analytics strategy across Pharmacy and Consumer Wellness (PCW). You’ll partner closely with analytics and business leaders to drive growth through merchandising and sales analytics, leveraging advanced data modeling, UI development, and generative AI.

Key Responsibilities

• Develop a comprehensive, data-driven understanding of business performance and shopping behaviors.
• Identifying friction points in how merchants and analysts use current BI tools and develop solutions that improve analytical process efficiency and open doors to novel insights using the latest technologies.
• Design, build, and deploy complex data models that span finance, operations, and consumer data domains.
• Leverage generative AI and large language models (LLMs) to streamline processes and create new business opportunities.
• Create compelling data visualizations and deliver clear, actionable insights to inform strategic decisions in merchandising and sales.
• Collaborate with Strategy, Merchandising, Finance, and Data Science teams to translate analytics into targeted, actionable business solutions.

Required Qualifications

• 1-2+ years of experience with Python, SQL, and cloud applications (GCP, AWS, Azure).
• 1-2+ years of experience solving analytics problems using common BI tools such as PowerBI, Tableau, ThoughtSpot, MicroStrategy, etc.
• 1-2+ years of industry experience presenting technical concepts to non-technical audiences and delivering clear insights.

Preferred Qualifications

• Broad proficiency in mathematical analysis, machine learning, statistical analysis, and predictive modeling, with depth in one or more areas.
• Experience designing and deploying complex, scalable data models in production environments.
• Hands-on experience with causal inference analysis.
• Experience in designing and implementing data pipeline and warehouse solutions.
• Familiarity with CI/CD pipeline development and maintenance.
• Experience developing and evaluating large language models.

Education

• Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or a related discipline; Master’s or PhD preferred

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$86,520.00 - $173,040.00

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.