Advanced Data Optimization Specialist
1 dia atrás
Experience the satisfaction of solving complex data challenges as a skilled optimization expert.
Whether you are a seasoned professional or just starting out in your career, this role offers exciting opportunities for growth and development.
- Model Optimization: Develop advanced models to solve large-scale scheduling problems using integer programming, constraint programming, heuristics, and metaheuristics.
- Data Analysis: Apply data analysis techniques to planning based on event calendars, service times, passenger volumes, and destination planning.
- Optimization Solvers: Work with Gurobi, CPLEX, OR-Tools, and other solvers to generate feasible and efficient schedules.
- Programming Languages: Proficiency in Python, Julia, or C++ is essential for this role.
- Problem-Solving: Strong analytical mindset, problem-solving skills, and attention to detail are required to succeed in this position.
- Communication: Excellent communication skills are necessary to collaborate effectively with operations, planning, and technology teams.
- Develop 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 to generate feasible, efficient schedules.
- Collaborate with operations, planning, and technology teams to align outputs with real-world needs.
- Analyze results to identify cost savings, efficiency improvements, and compliance risks.
- Continuously refine models to adapt to changes in resource availability, demand patterns, and operational constraints.
This role offers exciting opportunities for growth and development, whether you are a seasoned professional or just starting out in your career. With a strong focus on optimization and data analysis, you will have the chance to develop your skills and take on new challenges.
As a member of our team, you will be part of a dynamic and collaborative environment where you can learn from experienced professionals and contribute your own expertise.
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