Job description

About the Role Total Wine & More is seeking a Senior Data Scientist, Operations Research to join our Data Services team in Boca Raton, FL. 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 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 productionize 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 experience 3-6 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 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. To view our full career page, click here: careers.totalwine.com ! 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 process, including during the interview process. Total Wine & More is a Drug Free Workplace. The information provided above indicates the general nature and level of work required of the position and is not a comprehensive list of all responsibilities or qualifications. Benefits list is only a highlight of some of the benefits offered to team members; eligibility for certain benefits apply. The anticipated close date of this posting is 120 days from the posted date indicated above. Worker Type: Regular Pay Range: $122,200.00 - $165,000.00 Annual

Requirements

Must-haves

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
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 productionize 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 experience
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
Generous store discounts
Pet insurance
Critical illness and accident insurance
Discounted home and auto insurance
College tuition assistance
Career development & product training
Consumer classes

Nice-to-haves

Leverage solvers such as Gurobi (preferred) or equivalent tools to build high-performance solutions, including model tuning and performance optimization
3-6 years’ experience in Operations Research / Optimization or related fields preferred
Hands-on experience with Gurobi (strongly preferred) or similar solvers (CPLEX, OR-Tools, etc.)

Application prep

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Keywords to mirror

apipythonsqlawsazuregcp

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave