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.

CVS Health is seeking a Lead Data Scientist to join the Retail Consumer Analytics team, leading high-impact efforts in Promotions Analytics. This role focuses on improving how CVS evaluates and invests in retail promotions by measuring what truly drives performance, optimizing discount strategy, and guiding smarter decisions across customer segments and product categories. 

As a senior individual contributor, you will shape our promotional investment strategy. You will help quantify the impact of different discount types on outcomes such as trips, units sold, and total sales in non-pharmacy retail areas (Front Store). Your work will inform decisions on how CVS allocates marketing budgets across promotions, coupons, vendors, and categories. You will design and deploy advanced analytics solutions — including causal inference models, multi-touch attribution (MTA), and investment mix models — that deliver measurable improvements in offer effectiveness and business outcomes. The insights you generate will influence millions in promotional spend and help CVS serve customers more effectively while growing retail performance. 

You will work closely with teams in merchandising, personalization, pricing, and finance to ensure insights translate into real-world action. If you are motivated by using data to solve high-stakes business challenges — and want to see your work drive strategic decisions at scale — this role is a strong fit. 

What you will do:

• Translate business questions into data problems and define solution roadmaps; build analytics solutions independently and in collaboration with cross-functional teams. 
• Develop measurement strategies using causal inference techniques (e.g., uplift, DiD, synthetic control, hierarchical GLMs) to evaluate the true incremental value of retail offers. 
• Lead the creation of multi-touch attribution (MTA) frameworks and discount effectiveness models that span channels, categories, and customer segments. 
• Build and scale marketing mix and budget optimization models to support long-term planning and improve investment allocation across promotions, coupons, and co-funded vendor programs. 
• Analyze promotion impact on Front Store KPIs, such as trips, units, and sales, across product categories and customer segments. 
• Develop analytics tools and operational KPIs to improve planning and decision-making across business teams. 
• Collaborate with partners across the business to embed advanced analytics into everyday workflows. 
• Partner with engineering and ML Ops teams to deploy models into scalable, production-ready pipelines using cloud-based tools. 
• Communicate analytical insights clearly and effectively to stakeholders at all levels, including senior leadership and non-technical teams. 
• Stay informed on advances in causal modeling, attribution science, and generative AI, and help integrate the latest techniques into CVS’s analytics ecosystem. 
• Contribute to team-wide modeling standards and offer informal mentorship and technical guidance to peers. 
   

Minimum Requirements:

• 7+ years of relevant experience in data science, econometrics, or applied analytics, including:  
  -Experience with causal modeling techniques, including quasi-experimental methods like uplift, DiD, and double ML. 
  -Developing attribution models, investment effectiveness frameworks, or MMM models in business settings. 
  -Experience in machine learning and statistical modeling including regression, trees, classification, clustering, and time series. 
  -Expertise in Python or R, SQL, and working with relational databases. 
  -Experience with ML Ops tools and cloud-based platforms such as Azure, AWS, or GCP. 
  -Experience analyzing business outcomes using KPIs like sales, trips, units, or margin, and applying findings to strategy or planning. 
  -Experience leading complex analytics projects and mentoring junior team members.
   

Required Education:

• Bachelor’s degree in a quantitative field such as Economics, Statistics, Mathematics, Computer Science, or Engineering; Master’s preferred. 
   

Preferred Qualifications: 

• PhD in Economics or related field. 
• Excellent attention to detail and very strong communication skills — able to clearly explain insights and models to stakeholders at all levels, from junior analysts to senior leadership. 
• Proven ability to align analytics with strategic business goals and influence decision-making with data. 
• Experience in retail promotions, marketing analytics, or personalization analytics. 
• Familiarity with budget optimization frameworks, simulation tools, discount planning models, or sales attribution techniques — especially in the context of long-term promotional impact. 
• Understanding of forecasting methods and time-based trends, particularly as they inform planning or attribution. 
• Deep knowledge of merchandising and offer constructs (e.g., promotions, vendor-funded offers, loyalty programs) and the metrics used to evaluate them. 
• Experience managing large-scale projects and collaborating across multiple business stakeholders in a matrixed organization. 

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.  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

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