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Tier-1 employer, remote option, and Bangalore metro presence amplify applicant competition.
Requires specialized operations research and logistics domain expertise, limiting cross-industry transferability.
Explicit 7–10 years plus mandatory optimization, ML, and tooling experience creates stringent filters.
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Lead advanced supply chain analytics and optimization projects to improve network design, transportation, warehousing, and fulfillment operations.
Develop proofs-of-concept and implement continuous improvement initiatives reducing costs and enhancing service performance across supply chain functions.
Manage cross-functional programs impacting multiple organizations, including collaboration with outsourced logistics providers and IT teams, delivering measurable business improvements.
Graduate degree in Operations Research, Industrial Engineering, Supply Chain, Statistics, or related quantitative field required.
7-10 years of experience in supply chain analytics, logistics, transportation, or related function.
5+ years of experience with data modeling using SQL, Python and statistical modeling techniques (regression, classification, decision trees).
5+ years hands-on experience with optimization/modeling software (e.g., BY TMOD, Llamasoft, Gurobi, CPLEX) and machine learning algorithms; experience with OR multi-objective LP, MILP required.
Experienced supply chain optimization practitioner comfortable leading complex, cross-functional projects with measurable impact.
Strong technical background combining advanced analytics, data science, machine learning, and optimization modeling expertise.
Able to operate autonomously yet collaborate effectively within matrixed teams, driving continuous innovation in supply chain solutions.