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
The Consumer Engagement & Analytics team is helping lead the effort to drive improved consumer experience by partnering with key business areas across CVS Health to deliver impactful analytic products and insights. As a member of the Price and Promotion Analytics team, you will be at the forefront of delivering high visibility products for key CVS Retail strategic priorities. Specifically, you will have the opportunity to drive traffic, revenue and customer satisfaction in CVS Health's Front Store business using data science to optimize pricing and promotions decisions.
In this role, you will have the opportunity to:
Solve complex problems, leverage large datasets, and build scalable and deployment ready models that work well with CVS Retail's diverse product portfolio. Guide the modeling approach, design and deploy end-to end solutions utilizing Operations Research (OR), econometric modeling, and forecasting along with the functional team leads,
Partner with the Data Engineering team to architect scalable and fail-proof production pipelines, define the unified technical vision, and set standards,
Stay up to date on the state-of-the-art modeling methodologies, initiate, lead, and inspire Research and Development efforts, define long-term technical vision and strategic roadmap,
Act as a consultant who translates complex requirements and data science findings into decision ready narratives for cross-functional teams,
Mandate and champion rigorous performance validation,
Provide advanced technical mentorship, proactively identify critical organizational skill gaps, and standardize hiring processes
We are a fast-paced team focused on building innovative advanced analytics solutions using cloud capabilities. Within our team, we believe cutting-edge AI products and analytics can only be delivered if every aspect of the solution from data to model to front end UI is fully designed and developed by the team.
We are looking for talented individuals who have a strong sense of ownership, accountability and a desire to deliver high quality end to end intuitive and impactful analytic products using advanced data driven approaches.
Required Qualifications
10+ years of progressive work experience in retail, consulting, or a related field as an individual contributor (applied data science) with at least 3 years in a lead capacity,
Strong foundation and demonstrated experience designing and deploying large scale optimization problems to production,
Strong Python, R, and SQL skills, proficiency in working with large datasets,
Experience working with a data engineering/MLOps team to productionize data science models, familiarity with version control (GitLab or GitHub), and ML platforms (AWS SageMaker, Databricks, GCP Vertex AI, etc.),
Excellent communication, leadership, and presentation skills and attention to detail. Worked in an agile environment, has the flexibility to adapt to changing business needs,
Proven experience influencing organizational strategy and driving change across business, product, and engineering organizations,
Proven experience leading multiple complex projects simultaneously in a fast-paced environment.
Preferred Qualifications
Experience building and deploying advanced price and promotion optimization solutions at scale,
In depth understanding of merchandising (price, promotion, assortment) concepts and metrics in retail,
Experience with managing large scale projects and working with multiple business stakeholders,
Proven record of intellectual property generation or public representation of technical work.
Education
Advanced degree in a quantitative field such as computer science, operations research, applied mathematics, or a related field. PhD preferred.
Pay Range
The typical pay range for this role is:
$144,200.00 - $288,400.00
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. This position also includes an award target in the company's equity award program.
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: 12/28/2025
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.
