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Develop scalable models that quantify trade-offs between customer demand, profitability, inventory risk, and product diversity, translating real-world business logic into mathematical frameworks.
Stay up to date on state-of-the-art modeling methodologies and research, and apply them to improve the scalability, robustness, and interpretability of assortment models.
Leverage the latest developments in generative AI and other AI models to enrich forecasting, simulation, and decision-support capabilities.
Collaborate cross-functionally with merchandising, pricing, supply chain, and data engineering teams to ensure analytics solutions are actionable and deployable at enterprise scale.
Communicate insights effectively to technical and non-technical stakeholders, influencing strategic planning and execution with data-driven recommendations.
? 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 3+ years of work experience applying optimization or mathematical modeling to real-world business problems - ideally in retail, supply chain, pricing, or assortment,
Demonstrated experience applying operations research, reinforcement learning, and/or dynamic programming techniques,
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.),
Strong Python, and SQL skills, proficiency in working with large datasets, and experience using optimization frameworks such as Gurobi, Pulp, Pyomo, or OR-Tools,
Familiarity with machine learning or simulation techniques (forecasting, clustering, demand modeling) that complement optimization,
Ability to translate complex business constraints into mathematical formulations and develop scalable, production-ready solutions,
Strong communication and storytelling skills; able to distill quantitative insights into clear, actionable recommendations for non-technical audiences.
Preferred Qualifications 5+ years of work experience in retail, consulting, or a related field,
Experience developing price optimization models, in depth understanding of merchandising (price, promotion, assortment) concepts and metrics in retail,
Understanding of reinforcement learning, simulation-based optimization, or generative AI applications in decision systems,
Exposure to MLOps and data engineering tools (Databricks, Vertex AI, AWS SageMaker, Airflow, etc.) for end-to-end model deployment,
Demonstrated ability to balance theoretical rigor and practical constraints - developing models that are both explainable and operationally viable,
Experience with managing large scale projects and working with multiple business stakeholders.
Education PhD in Operations Research, Management Science or equivalent, Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $101,970.00 - $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 assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
For more information, visit We anticipate the application window for this opening will close on: 02/22/2026 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.
Sprachkenntnisse
- English
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