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Tier-1 brand and metro location increase interest, but niche OR optimization skills moderate applicant density.
Role requires deep supply-chain optimization and OR experience, making cross-industry fit limited without domain expertise.
Explicit 7-10y requirement plus 5+ years in optimization tools and domain experience makes filters stringent.
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Apply advanced supply chain analytics and optimization techniques to solve complex network problems including distribution design, transportation routing, and warehousing capacity.
Lead proofs-of-concept and continuous improvement projects to reduce supply chain costs and improve service performance using data modeling and machine learning.
Manage cross-functional programs impacting multiple organizations, collaborating with IT and stakeholders, and provide detailed reporting and analytics for network operations.
Graduate degree in Operations Research, Industrial Engineering, Supply Chain, Statistics, or related quantitative field.
7-10 years experience in supply chain analytics, logistics, transportation, or related function.
5+ years hands-on experience with data modeling (SQL, Python) and statistical modeling techniques.
5+ years hands-on experience with optimization software (e.g., Gurobi, CPLEX) and machine learning algorithms.
Experienced in managing complex, cross-functional supply chain optimization programs in fast-paced environments.
Strong operator with deep domain knowledge in transportation network design, warehousing, fulfillment, and logistics.
Technical expert combining advanced optimization methods and practical business insight to drive measurable improvements.