Optimization Specialist
The role involves developing and maintaining large-scale scheduling models in applied environments.
* Develop advanced optimization models to solve complex 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.
Candidates should possess:
* Advanced knowledge of optimization modeling (integer programming, constraint programming, heuristics/metaheuristics).
* Proven experience developing and maintaining large-scale scheduling models.
* Hands-on experience with optimization solvers.
* Proficiency in programming languages such as Python, Julia, or C++.
Key Responsibilities:
* Analyze results to identify cost savings, efficiency improvements, and compliance risks.
* Collaborate with stakeholders to understand scheduling needs and develop tailored solutions.
Requirements:
* Strong analytical and problem-solving skills.
* Ability to work in a fast-paced environment and meet deadlines.
* Excellent communication and collaboration skills.