Join a team of data-driven innovators who are passionate about solving complex scheduling challenges.
We are looking for an expert in optimization modeling to develop and maintain large-scale scheduling models that improve efficiency, reduce costs, and ensure compliance with operational requirements. Your advanced knowledge of integer programming, constraint programming, and heuristics will help you design solutions that make a real impact.
You will be working on a range of projects that involve developing and maintaining scheduling models, integrating operational rules and contractual agreements into model formulations, and applying optimization solvers to generate feasible schedules. If you have experience with programming languages like Python, Julia, or C++, you will thrive in this role.
A key part of your responsibilities will be collaborating with operations, planning, and technology teams to align outputs with real-world needs. This requires strong communication skills and the ability to work effectively with technical and non-technical stakeholders.
We are seeking someone who is analytical, able to think creatively, and has a strong understanding of data analysis for planning based on event calendars, service times, passenger volumes, and destination planning.
About You
* Expertise in optimization modeling (integer programming, constraint programming, heuristics/metaheuristics)
* Proven experience developing and maintaining large-scale scheduling models in applied environments
* Ability to integrate 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