Developing advanced optimization models to solve large-scale scheduling problems requires a unique combination of technical and analytical skills. In this role, you will be responsible for building and maintaining models that consider event calendars, service times, passenger volumes, and destinations using available data.
You will integrate operational rules, contractual obligations, regulatory requirements, and business constraints into model formulations. Additionally, you will apply optimization solvers (Gurobi, CPLEX, OR-Tools) to generate feasible, efficient schedules.
Analyzing results to identify cost savings, efficiency improvements, and compliance risks is crucial in this position. You will continuously refine models to adapt to changes in resource availability, demand patterns, and operational constraints.
To excel in this role, you must communicate effectively with technical and non-technical stakeholders. This includes working closely with operations, planning, and technology teams to align outputs with real-world needs.