Job Summary
A highly skilled Data Analyst/Scientist is required to develop and maintain advanced optimization models to solve complex scheduling problems. The ideal candidate will have a strong background in data analysis, machine learning, and programming languages such as Python and R.
Key responsibilities include:
* Building models that consider event calendars, service times, passenger volumes, and destinations using available data.
* Integrating operational rules, contractual obligations, regulatory requirements, and business constraints into model formulations.
* Applying optimization solvers (Gurobi, CPLEX, OR-Tools) to generate feasible, efficient schedules.
* Collaborating with operations, planning, and technology teams to ensure seamless integration of the developed models.
* Analyzing results to identify cost savings, efficiency improvements, and compliance risks.
* Continuously refining models to adapt to changes in resource availability, demand patterns, and operational constraints.
If you are a detail-oriented and analytical professional with a passion for solving complex problems, we encourage you to apply for this exciting opportunity.