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Tier-1 brand plus metro location and mid-level experience, but niche OR specialization reduces applicant density.
Role requires specialized operations research skills and industry domain knowledge, moderately limiting cross-industry transferability.
Explicit 3+ years requirement plus mandatory OR modeling tools and domain experience increases filter strictness.
Develop and implement operations research models (mathematical optimization and/or stochastic simulation) to solve large-scale business problems.
Collaborate cross-functionally with technical and business teams to validate solutions and influence key business decisions.
Manage project timelines, coordinate team efforts, and ensure delivery of scalable, commercial-grade analytics solutions.
Master’s degree or Ph.D. in Industrial Engineering, Operations Research, Applied Mathematics, or relevant Engineering with specialization in Operations Research methods.
3+ years of experience applying operations research modeling methods to large-scale commercial problems.
Proficiency with mathematical modeling languages (e.g., AIMMS, GAMS, AMPL, Pyomo, Gurobipy) and simulation tools (e.g., Stella Architect, VenSim, AnyLogic).
Familiarity with Python and source code version control tools (Git).
Experienced in translating complex business requirements into operations research models to drive actionable solutions.
Skilled at working in global, cross-functional teams combining technical and business expertise.
Able to independently manage projects from scoping through delivery with strong project management and communication skills.