





Niche operations research skillset reduces applicant pool despite metro location.
Skills transfer to logistics, e-commerce, and manufacturing, but OR specialization raises domain bias.
Explicit 7-10 years plus mandatory OR tooling (Gurobi/CPLEX), SQL/Python creates strict filters.
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Apply advanced analytics and optimization techniques to solve complex supply chain network problems covering distribution design, transportation routing, warehousing, and simulation-based cost/service improvements.
Lead proofs-of-concept and continuous improvement projects in supply chain optimization to reduce costs and enhance service performance, collaborating cross-functionally including IT and logistics providers.
Manage end-to-end lifecycle of moderately to highly complex cross-functional supply chain programs impacting multiple organizations, delivering quantifiable business improvements and reporting with tools like Tableau or Power BI.
Graduate degree in Operations Research, Industrial Engineering, Supply Chain, Statistics or related quantitative/operations field.
7-10 years experience in supply chain analytics, logistics, transportation or related functions.
5+ years hands-on with data modeling using SQL, Python; solid statistical modeling knowledge (regression, classification, decision trees).
5+ years with optimization/modeling software (e.g., Gurobi, CPLEX, BY TMOD, Llamasoft) and machine learning algorithms including clustering, classification, reinforcement learning, and OR optimization approaches (LP, MILP).
Experienced practitioner in supply chain analytics and optimization with strong technical capabilities in statistical modeling, advanced optimization techniques, and machine learning applied to logistics and network design.
Able to manage and deliver complex, cross-functional programs with measurable business impact in dynamic, matrixed environments involving multiple stakeholders including outsourced logistics and IT teams.
Demonstrates thought leadership in supply chain optimization, capable of structuring complex problems, driving innovation, and communicating strategic plans clearly to varied business and technical audiences.