Optimization / Operations Research Engineer

Main mission

Solves allocation, scheduling, and logistics problems through algorithms.

5 key responsibilities

• Model allocation, scheduling, and routing problems.
• Develop solvers: linear programming, constraints, heuristics.
• Combine classical optimization and machine learning.
• Validate real gains in the field: costs, timelines, service rates.
• Industrialize optimization engines in business systems.

Key skills

Linear and constraint programming, solvers (Gurobi, OR-Tools), Python, modeling.

What's expected

Measurably better operational decisions: Operations Research is the discreet AI that drives global logistics.

Career paths

Lead Optimization, Senior Data Scientist, Supply Chain Architect.