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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in formulating and solving optimization problems using LP/MIP, heuristics, and simulation models, while proficiently applying Python for production-grade software development. Capable of connecting optimization models to business decisions and effectively communicating results to diverse audiences.
Highest-signal resume keywords
Optimization Problem FormulationProduction-Grade Python DevelopmentCommercial Solver ExposureAI/LLM Tool UtilizationSupply Chain Domain Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
LP/MIPHeuristicsNetwork FlowSimulation ModelsPython ProgrammingVersion ControlTestingCode ReviewOptimization TechniquesAlgorithm Design
Soft Skills
Critical ThinkingCommunicationProblem-SolvingCollaborationAdaptability
Tools & Technologies
GurobiCPLEXOR-ToolsPyomoJuMP
Industry Keywords
Supply ChainOperational Decision-MakingProduction MonitoringAlgorithmic DecisioningOptimization at Scale
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Turn ambiguous supply chain problems involving inventory, network design, routing, planning, and capacity into optimization models and production-grade software
- Formulate decisions as LP/MIP, network flow, heuristic, or simulation models, stating and defending assumptions
- Diagnose and improve slow or infeasible optimization models using tighter formulations, valid inequalities, warm starts, decomposition, or heuristics
- Write clean, tested, production-grade Python or the team’s language against solvers and modeling layers
- Take models from prototype toward reliable, monitored production use
- Use AI/LLM and agentic tooling as a validated build accelerator and, where relevant, help design, evaluate, and guardrail it within algorithmic pipelines
- Connect models to business decisions such as service levels, lead times, and plan stability
- Explain formulations, trade-offs, and results to technical and non-technical audiences
- Work on the Decision Science team under Algorithms/Applied Science leadership
- Own well-scoped pieces of larger problems under guidance from senior scientists
Requirements
What you’ll need- Hands-on experience formulating and solving real optimization problems — LP/MIP, heuristics, network flows, or simulation — beyond coursework alone
- Professional software engineering practice in Python or a comparable language, including version control, testing, and code review
- Exposure to at least one commercial or open-source solver via a modeling layer, such as Gurobi, CPLEX, OR-Tools, Pyomo, or JuMP, or clear evidence of picking this up fast
- Critical, hands-on posture toward AI/LLM coding tools; comfortable using them and explaining where they have gone wrong
- Preferred: prior exposure to supply chain or a comparable operational-decision domain
- Preferred: track record of work at real scale, including large problem instances, meaningful SKU/location/order volumes, or live production traffic
- Preferred: experience shipping something that stayed in production and that others depended on, including monitoring and iteration
- Preferred: self-initiated project or improvement driven end-to-end
- Preferred: novel formulation, technique, framework, paper, patent, or open-source contribution that measurably beat the prior approach
- Preferred: background at a company or lab doing optimization, supply chain, or algorithmic decisioning at scale
- Ability to work in Pune in a hybrid arrangement
Benefits
Comp & perks- Work on optimization and algorithms that run in production for large enterprise supply chains
- Shape how AI/LLM and agentic tooling get used alongside classical OR, as both a build accelerator and a product feature
- Join a team with a clear ladder from OR Scientist through Senior, Lead, and Principal
- Clear growth path to Senior, Lead, and Principal
- Equal opportunity employer welcoming applicants from all backgrounds and experiences
