We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health , you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.
Position SummaryThe Retail Analytics team is helping lead the effort to transform healthcare and drive improved consumer experience by partnering with key business areas across CVS Health and delivering impactful analytic solutions and insights. As a member of this team, you will be at the forefront of delivering high visibility projects for key CVS Retail strategic initiatives. Specifically, you will have the opportunity to drive revenue and customer satisfaction in CVS Health's Front Store business using data science to optimize pricing and promotions decisions. You will work cross functionally with both technical and non-technical stakeholders and translate their business needs into problems to be solved using statistical modeling, machine learning, and optimization. We are a fast-paced team focused on building innovative advanced analytics solutions using cloud capabilities. We are looking for individuals who have a strong sense of ownership, accountability, and a desire to deliver high quality and high impact products using advanced data driven approaches. Key responsibilities and what you will do:
Algorithm Development: Develop, validate, and deploy scalable optimization algorithms to achieve business objectives and inform strategic decision-making across CVS Health's retail business. Define and monitor model performance metrics, ensuring alignment with business impact over time. Develop proof of concepts and transition solutions into production-ready pipelines and APIs as required by the business.
Cross-Functional Collaboration: Collaborate with product managers, data engineering, software engineering, and data science teams to identify and implement impactful solutions to solve complex business problems, fostering trust and commitment through agile methodologies.
Data Exploration: Analyze and interpret large volumes of structured and unstructured data to address complex business challenges effectively. Develop and maintain datasets and pipelines to organize, collect, and standardize data, facilitating insights and addressing reporting needs.
Continuous Learning: Stay abreast of the latest advancements in optimization algorithms, machine learning solutions, and methodologies to enhance capabilities. Research and integrate new technologies to enhance existing solutions and address emerging challenges.
Required Qualifications- 1+ years of demonstrated experience applying operations research, reinforcement learning, and/or dynamic programming techniques.
- 1+ years of experience building linear and nonlinear programming models for mathematical optimization and experience with optimization tools and libraries (Gurobi, Pulp, Pyomo, CPLEX).
- 1+ years of experience in SQL and Python programming.
- Experience working with large datasets, analyzing data, and extracting meaningful insights.
- 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, Google Cloud Platform Vertex AI, etc.).
- Experience using applied statistics and machine learning techniques.
- Proven experience in analyzing complex problems and translating them into efficient data science algorithms with a focus on computational efficiency.
Preferred Qualifications- A strong drive to explore data and make a business impact by applying data science and the curiosity to dive deep.
- Excellent communication and presentation skills and attention to detail.
- PhD in Operations Research, Management Science or equivalent.
- Retail domain knowledge and basic understanding of pricing and promotions concepts.
- Experience using PySpark and/or big data platforms (e.g., Hadoop, Spark) for large data processing.
- Knowledge of or experience in causal inference, and machine learning algorithms.
- Ability to effectively communicate technical concepts to non-technical audiences, including experience creating communication materials (e.g., white paper, slide decks, etc.).
Education- A PhD or a Master's degree with 1+ years, or a Bachelor's degree with 2+ years of relevant experience in a STEM field such as Operations Research/ Industrial Engineering, Applied Mathematics, Computer Science, Engineering, or a related field.
Anticipated Weekly Hours40
Time TypeFull time
Pay RangeThe 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 peopleWe 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 ;br>
We anticipate the application window for this opening will close on: 03/29/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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