Job Overview
The ideal candidate is a data-driven professional passionate about solving complex scheduling and resource allocation challenges.
* Advanced knowledge of optimization modeling (integer programming, constraint programming, heuristics/metaheuristics).
* Proven experience developing and maintaining large-scale scheduling models in applied environments.
* Ability to incorporate operational rules, contractual agreements, regulatory requirements, and business constraints into model formulations.
* Hands-on experience with optimization solvers (e.g., Gurobi, CPLEX, OR-Tools).
* Proficiency in programming languages such as Python, Julia, or C++.
* Strong understanding of data analysis for planning based on event calendars, service times, passenger volumes, and destination planning.
* Analytical mindset with strong problem-solving skills and attention to detail.
* Excellent communication skills to work effectively with technical and non-technical stakeholders.
Responsibilities:
* Develop and maintain advanced optimization models to solve large-scale scheduling problems.
* Build models that consider event calendars, service times, passenger volumes, and destinations using available data.
* Integrate operational rules, contractual obligations, regulatory requirements, and business constraints into model formulations.
* Apply optimization solvers (Gurobi, CPLEX, OR-Tools) to generate feasible, efficient schedules.
* Collaborate with operations, planning, and technology teams to align outputs with real-world needs.
* Analyze results to identify cost savings, efficiency improvements, and compliance risks.
* Continuously refine models to adapt to changes in resource availability, demand patterns, and operational constraints.