Data Scientist Role
As a senior data scientist, you will be responsible for developing and maintaining advanced optimization models to solve large-scale scheduling problems. This involves applying mathematical techniques to allocate resources efficiently and minimize costs.
Key Responsibilities:
* Develop and maintain advanced optimization models that take into account event calendars, service times, passenger volumes, and destinations using available data.
* Create models that 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 that meet organizational objectives.
* Collaborate with operations, planning, and technology teams to align outputs with real-world needs and optimize business performance.
* Analyze results to identify cost savings, efficiency improvements, and compliance risks associated with scheduling decisions.
* Continuously refine models to adapt to changes in resource availability, demand patterns, and operational constraints.