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 Summary
The Retail Analytics team is helping lead the effort to transform healthcare and driveimproved consumer experience by partnering with key business areas across CVS Healthand delivering impactful analytic solutions and insights. As a member of this team, you will beat 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 promotionsdecisions. You will work crossfunctionally with both technical and non-technical stakeholders and translate theirbusiness needs into problems to be solved using statistical modeling, machine learning,and optimization. We are a fast-paced team focused on building innovative advancedanalytics solutions using cloud capabilities. We are looking for individuals who have astrong sense of ownership, accountability, and a desire to deliver high quality and highimpact 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 objectivesand 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 datascience teams to identify and implement impactful solutions to solve complex businessproblems, 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 optimizationalgorithms, machine learning solutions, and methodologies to enhance capabilities. Research and integrate new technologies to enhance existing solutions and addressemerging 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, GCP 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 PySparkand/or big data platforms (e.g., Hadoop, Spark) forlarge 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
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$86,520.00 - $173,040.00This 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
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