Sr. Data Scientist- Operations Reserach

About the Role Total Wine & More is seeking a Senior Data Scientist, Operations Research to join our Data Services team in Bethesda, MD. In this role, you will lead the design and deployment of optimization and decision science solutions that directly drive business outcomes across Total Wine & More. This role focuses on solving complex, large-scale mathematical problems to inform strategic and operational decisions, including pricing, inventory, supply chain, and marketing optimization.

You will work at the intersection of data, mathematical modeling, and decisioning systems, translating business problems into formal optimization frameworks and delivering production ready solutions. This role requires deep hands-on experience in operations research (OR), including building and solving large-scale optimization models, alongside strong data engineering and software skills to operationalize those solutions. This role will report to the Sr.

Director, Data Science.

You will Formulate decision problems as mathematical optimization models (LP, MILP, MINLP), translating business constraints and objectives into structured frameworks

Design and implement large-scale optimization models, solving complex problems involving thousands to millions of variables and constraints

Leverage solvers such as Gurobi (preferred) or equivalent tools to build high-performance solutions, including model tuning and performance optimization

Develop end-to-end decision systems, integrating optimization outputs into production workflows and business processes

Collaborate with business stakeholders to define objective functions, constraints, and trade-offs, ensuring solutions align with real-world decision-making

Evaluate solution quality through scenario testing, sensitivity analysis, and stress testing of optimization results

Scale and product ionize models, including API development, automation, monitoring, and retraining workflows

Build and maintain data pipelines to support optimization models, ensuring data quality, availability, and performance at scale

Communicate model structure, assumptions, and results clearly to leadership, translating complex math into actionable business insights

You will come with Bachelor's Degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or related field or equivalent years of experience

Master's Degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or related field or equivalent years of experience3-6 years’ experience in Operations Research / Optimization or related fields preferred

Hands-on experience with Gurobi (strongly preferred) or similar solvers (CPLEX, OR-Tools, etc.)Proven experience building and deploying large-scale mathematical models (LP, MILP, etc.) in production environments

Ability to design and maintain data pipelines for large-scale modeling workflows and experience working with large, complex datasets, including feature engineering and data validation

Proficiency in Python and SQL, with emphasis on scalable, maintainable code Familiarity with cloud environments (AWS, Azure, GCP) for scalable execution

We offer

Paid Time Off (PTO)
Generous store discounts

Health care plans (medical, prescription, dental, vision)401(k), HSA, FSA, Pre-tax commuter benefits

Disability & life insurance coverage

Paid parental leave

Pet insurance

Critical illness and accident insurance

Discounted home and auto insurance

College tuition assistance

Career development & product training

Consumer classes& More!

Crafted for youWe recognize our team members are our biggest asset, and we value the critical role each play in contributing to the company’s success. It is our commitment to support and provide access to the resources needed to take care of their health and wellbeing. That is why we offer a variety of benefits, tools, and resources to support through our Total Rewards program.

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Total Wine & More considers several factors when establishing compensation. Compensation may vary based on a number of factors including, but not limited to, market location, job-related knowledge, skills and/or experience.…