Back
Mid-level data scientist title, metro Bangalore location, and broad production+OR skillset drive high competition.
Specialized supply-chain operations research, solver and productionization expertise limit cross-industry transferability.
Explicit 5–8 years plus mandatory OR, solver, production, and AI/LLM experience makes filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and deploy advanced Operations Research optimization models for supply chain decisions including warehouse routing, transportation, inventory planning, and network optimization.
Own end-to-end modelling workstreams: problem formulation, experimentation, production deployment, monitoring, and iterative improvement.
Collaborate across Bangalore and Palo Alto teams and supply chain stakeholders to deliver scalable, production-quality solutions impacting real business metrics.
5–8 years experience in Operations Research, Data Science, Industrial Engineering, or related quantitative fields.
Proven track record of building and shipping production optimization models with measurable business impact.
Expertise in optimization methodologies (LP, MIP, CP, heuristics, vehicle routing, network flow) and at least one supply chain domain such as transportation or warehouse routing.
Experience with engineering aspects of model deployment including feature pipelines, solver integration, and production model maintenance.
Experienced senior data scientist comfortable with end-to-end ownership of complex supply chain optimization problems and model productionization.
Strong collaborator capable of working asynchronously across distributed teams (Bangalore and Palo Alto) and cross-functional stakeholders in operations and engineering.
Practitioner skilled in integrating classical Operations Research methods with AI-augmented workflows (e.g., LLM-assisted model formulation) while maintaining scientific rigor.