Data Scientist III, Operations Research

Nevada Fine Wine & Spirits LLC; United States; On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

PTO

Store discounts

Health plans

401(k) & HSA

Disability & life insurance

Parental leave

Pet insurance

College tuition assistance

Career development

Consumer classes

& More!

Job summary

Total Wine & More in Boca Raton, FL is seeking a Data Scientist, Operations Research to develop optimization and decision-science solutions that steer pricing, inventory, supply chain, and marketing decisions.

You will translate business problems into mathematical models, build and evaluate LP/MILP solutions with Gurobi or similar solvers, create robust data pipelines in Python and SQL, and collaborate with partners to deploy outputs into production workflows.

Qualifications

• Bachelor’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Data Science, or related field.
• A master's degree in a related field is preferred.
• 1–4 years of OR/Optimization experience preferred.
• Hands‑on experience with Gurobi (strongly preferred) or similar solvers (CPLEX, OR-Tools).
• 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 with large 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

Responsibilities

• Develop LP, MILP models based on defined objectives and constraints.
• Design and implement optimization solutions using Gurobi or comparable solver technologies.
• Assess requirements, data, and constraints to determine modeling approaches.
• Evaluate model results with scenario testing and validation.
• Implement optimization outputs within production workflows and processes.
• Develop and maintain data pipelines supporting modeling workflows.
• Resolve routine modeling, data, and performance issues; escalate complex challenges.
• Develop scalable Python/SQL code following standards.
• Collaborate with business partners to clarify objectives, constraints, and outcomes.
• Communicate modeling approaches and results clearly to stakeholders.
• Monitor model performance and adjust as needed.
• Share technical approaches with colleagues to raise team capability.

Skills

LP modelling

MILP

Python

SQL

Gurobi

Scenario testing

Data pipelines

Communication

Education

Bachelor's in OR/Industrial Engineering/Applied Math/CS/Data Science

Master's preferred

Tools

Gurobi

CPLEX

OR-Tools

Job description

About the Role

Total Wine & More is seeking a Data Scientist, Operations Research to join our Data Services team in Boca Raton, FL. 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 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.

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