Job Description
Solving complex scheduling and resource allocation challenges is a core part of this role.
As a data-driven professional, you are passionate about applying advanced optimization techniques to real-world problems. You thrive on balancing mathematical rigor with practical feasibility, developing and maintaining large-scale scheduling models in applied environments.
Key Competencies
* 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
Accountabilities
* 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