📋 Description

• Formulate real supply chain decisions as LP/MIP, network flow, heuristic, or simulation models
• Diagnose and improve slow or infeasible optimization models
• Write clean, tested, production-grade Python against solvers
• Use AI/LLM and agentic tooling critically for building and guardrailing
• Connect every model back to business decisions
• Explain formulation and trade-offs to varied audiences

🎯 Requirements

• Hands-on experience formulating and solving real optimization problems (LP/MIP, heuristics, network
• Professional software engineering practice in Python (or comparable)
• Exposure to a solver via a modeling layer (e.g., Gurobi, CPLEX, OR-Tools, Pyomo, JuMP)
• Critical hands-on posture toward AI/LLM coding tools

🎁 Benefits

• Work on optimization and algorithms in production for enterprise supply chains
• Shape use of AI/LLM alongside classical OR
• Clear growth path from OR Scientist to Principal