7 часов назад
Data Scientist III, Operations Research
101 900 - 137 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist III, Operations Research (Python/SQL/Gurobi): Developing and deploying mathematical optimization solutions for pricing, inventory, supply chain, and marketing with an accent on large-scale LP and MILP modeling, data pipelines, and production integration. Focus on scenario testing, sensitivity analysis, scalable code, and translating business constraints into reliable operational decisions.
Location: Maryland SSC in Bethesda, Maryland
Salary: $101,900–$137,600 annual
Company
Total Wine & More is a retail company with a Data Services team supporting business decisions through data science and operations research.
What you will do
- Develop mathematical optimization models, including linear programming and mixed-integer linear programming, based on business objectives and constraints.
- Design and implement optimization solutions using Gurobi or comparable solver technologies.
- Assess requirements, data, and operational constraints to select modeling approaches and evaluate results through scenario testing, sensitivity analysis, and validation.
- Integrate optimization outputs into production workflows and business processes across pricing, inventory, supply chain, and marketing.
- Build and maintain data pipelines that support large-scale modeling workflows, data quality, availability, and reliability.
- Write scalable Python and SQL code, monitor model performance, resolve routine issues, and communicate recommendations to business and cross-functional partners.
Requirements
- Bachelor’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Data Science, or a related field, or equivalent education and experience.
- 1–4 years of relevant experience in Operations Research, optimization, or a related field.
- Hands-on experience with Gurobi or similar solvers such as CPLEX or OR-Tools.
- Experience building and deploying large-scale mathematical models, including LP and MILP, in production environments.
- Proficiency in Python and SQL, including scalable and maintainable code, data pipelines, feature engineering, and data validation.
- Familiarity with cloud environments such as AWS, Azure, or GCP.
Culture & Benefits
- Paid time off, paid parental leave, and disability and life insurance.
- Medical, prescription, dental, and vision health care plans.
- 401(k), HSA, FSA, and pre-tax commuter benefits.
- Store discounts, pet insurance, critical illness and accident insurance, and discounted home and auto insurance.
- College tuition assistance, career development, product training, and consumer classes.
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