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Medium: metro location and known employer balanced by niche Gurobi/optimization requirements reducing applicant pool.
High: optimization and Gurobi skills are domain-specialized and often tied to logistics/supply-chain contexts.
High: explicit 6–10 years plus mandatory Gurobi and linear-optimization expertise.
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Design, develop, validate, and optimize linear optimization models for integration into existing pipelines.
Maintain and improve optimization models using Python and Gurobi with large datasets.
Collaborate with stakeholders and engineering teams to deliver data-driven solutions and communicate insights to non-technical audiences.
6-10 years of experience in data science or optimization.
Strong proficiency in Python and Gurobi with hands-on linear optimization experience.
Degree in a quantitative field (Computer Science, Mathematics, Statistics, Economics).
Experience working with large datasets; familiarity with Git and Excel.
Experienced in logistics or supply chain optimization domain, preferred but not mandatory.
Ability to work closely with stakeholders and cross-functional engineering teams.
Demonstrated skill in communicating complex analytical insights to non-technical audiences.