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Tier-1 brand and metro location but niche OR/logistics skillset reduces applicant density.
Requires specialized supply-chain optimization and MILP/OR expertise, limiting cross-industry transferability.
Explicit 7–10 years requirement plus mandatory OR optimization tools and domain experience increases strictness.
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Apply advanced analytics and optimization techniques to solve complex supply chain network problems including distribution design, transportation, routing, and warehousing capacity.
Lead continuous improvement projects using network analytics to reduce supply chain costs and improve service performance.
Manage full lifecycle of cross-functional programs impacting multiple organizations, collaborating with IT and stakeholders to deploy data-driven improvements and provide comprehensive reporting.
Graduate degree in operations research, industrial engineering, supply chain, statistics, or related quantitative field.
7-10 years experience in supply chain analytics, logistics, or transportation with 5+ years hands-on modeling using SQL, Python.
5+ years experience using optimization/modeling software such as Gurobi, CPLEX, BYTMOD, Llamasoft or Xpress, and knowledge of statistical modeling and ML techniques.
Work Experience Required: 7-10 years in relevant supply chain or logistics roles.
Experienced in applying advanced supply chain analytics and optimization in complex network environments with measurable impact.
Skilled in managing cross-functional projects with ambiguous environments and multiple external partners like logistics providers and freight forwarders.
Able to produce actionable business insights from large data sets and effectively communicate strategic plans to diverse stakeholders.