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Known global company and Bangalore location increase applicant density despite niche OR/optimization skill requirements.
Requires specialized OR/optimization and supply-chain expertise, limiting cross-industry transferability.
Explicit 7-10 years and mandatory optimization/OR expertise enforce stringent candidate filters.
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Lead application of advanced analytics, optimization, and machine learning techniques to solve complex supply chain network problems including distribution design, transportation routing, and warehousing.
Develop proofs-of-concept and lead continuous improvement projects to reduce costs and improve service performance across supply chain operations.
Manage end-to-end cross-functional programs impacting logistics, transportation, and fulfillment operations with significant business metrics and collaborate with IT for deployment.
Graduate degree in quantitative field like Operations Research, Industrial Engineering, Supply Chain, or related area.
7-10 years work experience in supply chain analytics, logistics, or transportation with 5+ years hands-on with data modeling (SQL, Python) and optimization software (Gurobi, CPLEX, Llamasoft, etc).
Strong knowledge of statistical modeling, machine learning algorithms, and operations research optimization techniques (LP, MILP).
Location: Bangalore, India; Willingness to travel ~20%.
Experienced practitioner combining supply chain domain knowledge with advanced analytics and optimization expertise.
Proven ability to manage complex cross-functional programs and drive quantifiable supply chain improvements end-to-end.
Comfortable navigating ambiguous environments with stakeholder collaboration and leading projects without direct authority.