Store Sales Supervisor / Keyholder

About the Role Total Wine & More is seeking a Data Scientist, Operations Research to join our Data Services team in Bethesda, MD. In this role, you will develop and implement optimization and decision-science solutions that support business decisions across areas such as pricing, inventory, supply chain, and marketing. You will translate defined business problems into mathematical models, evaluate potential solutions, and help integrate model outputs into business processes and production workflows. This role requires foundational experience in operations research, data analysis, and software development, along with the ability to work independently on routine to moderately complex assignments. You will collaborate with more experienced team members and business partners when addressing unfamiliar or challenging problems. This role reports to the Senior Director, Data Science. You will Develop mathematical optimization models, including linear programming (LP), mixed-integer linear programming (MILP), and related techniques, based on defined business objectives and constraints. Design and implement optimization solutions using Gurobi or comparable solver technologies. Assess business requirements, available data, and operational constraints to determine appropriate modeling approaches. Evaluate model results through scenario testing, sensitivity analysis, and validation to confirm that solutions meet defined business needs. Implement optimization outputs within established production workflows and business processes. Develop and maintain data pipelines that support modeling workflows and promote data quality, availability, and reliability. Resolve routine modeling, data, and performance issues, escalating more complex challenges when appropriate. Develop scalable and maintainable code using Python and SQL in accordance with established development standards. Facilitate discussions with business partners and cross-functional team members to clarify objectives, constraints, assumptions, and expected outcomes. Communicate modeling approaches, assumptions, results, and recommendations in a clear and practical manner. Monitor model performance and recommend adjustments based on business needs, data changes, and solution results. Contribute to team knowledge by sharing technical approaches and providing guidance to less-experienced colleagues when appropriate. You will come with Bachelor's degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Data Science, or a related field, or an equivalent combination of education and experience. A master's degree in a related field is preferred. 1-4 years of relevant 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 insuranceCritical illness and accident insurance Discounted home and auto insurance College tuition assistance Career development & product training Consumer classes & More! Crafted for you We 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. 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. The actual hourly rate will equal or exceed the required minimum wage applicable to the job location. Estimated salaries determined by third parties have not been validated by Total Wine & More. Total Wine & More is an equal opportunity employer and all qualified applicants will receive consideration for employment without discrimination based on race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Total Wine & More makes reasonable accommodations during all aspects of the employment p #J-18808-Ljbffr