About Our Ideal CandidateWe are seeking a highly skilled data-driven professional who is passionate about solving complex scheduling and resource allocation challenges.As a seasoned analytics expert, you will design solutions that improve efficiency, reduce costs, and ensure compliance with operational and regulatory requirements.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.Your Key ResponsibilitiesDevelop 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.Analyze results to identify cost savings, efficiency improvements, and compliance risks.