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Specialized senior OR role in Bangalore with high technical bar, reducing candidate pool.
Requires deep OR and supply-chain optimization expertise, reducing cross-industry transferability.
Explicit 9–12 years, required OR methodologies, solver experience and productionization make filters highly strict.
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Lead end-to-end development and productionization of advanced Operations Research (OR) solutions for critical supply chain areas including warehouse routing, transportation, network planning, inventory, and purchase order allocation.
Own OR workstreams from problem formulation through deployment, experimentation, and driving measurable business impact on supply chain efficiency.
Set scientific standards for OR, collaborate across teams in Bangalore and Palo Alto, and mentor Data Scientists to raise the technical bar using AI-native approaches.
9–12 years of experience in Operations Research, Data Science, Applied Mathematics, Industrial Engineering, or related quantitative discipline.
Deep expertise in optimization methods: Linear Programming, Mixed-Integer Programming, Constraint Programming, vehicle routing, network flow, metaheuristics, stochastic optimization.
Strong engineering skills to productionize optimization models including solver integration, feature pipelines, model serving, and experimentation infrastructure.
Work Experience Required: 9-12 years; Advanced degree preferred; Location: Bangalore; Notice period: Not explicitly mentioned in the JD.
Experienced leader capable of owning complex OR projects independently with proven measurable impact on supply chain or logistics operations.
Technical thinker skilled in bridging scientific rigor with practical deployment in fast-paced, ambiguous environments and collaborating across distributed teams.
Innovator with experience applying AI/LLM tools for enhancing OR workflows and driving AI-native optimization and experimentation methods.