Sr. Data Scientist- Operations Research

Connecticut Fine Wine & Spirits•Boca Raton, FL

10h

About The Position

Total Wine & More is seeking a Senior Data Scientist, Operations Research to join its Data Services team in Boca Raton, Florida. The role leads the design and deployment of optimization and decision science solutions that drive business outcomes across the company. It focuses on complex, large-scale mathematical problems supporting strategic and operational decisions in areas such as pricing, inventory, supply chain, and marketing optimization. The position translates business problems into formal optimization frameworks and delivers production-ready solutions. It combines hands-on operations research expertise—including building and solving large-scale optimization models—with data engineering and software skills to operationalize solutions. The position reports to the Director, Data Science.

Requirements

Bachelor’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related field, or equivalent years of experience.
Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related field, or equivalent years of experience.
Hands-on experience with Gurobi or similar solvers such as CPLEX or OR-Tools.
Proven experience building and deploying large-scale mathematical models, such as LP and MILP models, in production environments.
Ability to design and maintain data pipelines for large-scale modeling workflows.
Experience working with large, complex datasets, including feature engineering and data validation.
Proficiency in Python and SQL, with an emphasis on scalable, maintainable code.
Familiarity with cloud environments such as AWS, Azure, or GCP for scalable execution.

Nice To Haves

Three to six years of experience in Operations Research, optimization, or related fields is preferred.
Experience with Gurobi is strongly preferred.

Responsibilities

Formulate decision problems as mathematical optimization models, including LP, MILP, and MINLP, translating business constraints and objectives into structured frameworks.
Design and implement large-scale optimization models involving thousands to millions of variables and constraints.
Use Gurobi or equivalent solvers to build high-performance solutions, including model tuning and performance optimization.
Develop end-to-end decision systems that integrate 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 productionize models, including API development, automation, monitoring, and retraining workflows.
Build and maintain data pipelines for optimization models, ensuring data quality, availability, and performance at scale.
Communicate model structure, assumptions, and results clearly to leadership, translating complex mathematics into actionable business insights.