Optimize Complex Systems and Resources

1 semana atrás


São Paulo, São Paulo, Brasil beBeeOptimization Tempo inteiro R$90.000 - R$120.000

Complex Scheduling and Resource Optimization Specialist

This role involves designing and implementing efficient scheduling solutions for large-scale systems. The ideal candidate will possess a strong analytical mindset, excellent problem-solving skills, and the ability to work with complex mathematical models.

Key responsibilities include developing and maintaining advanced optimization models, integrating operational rules and business constraints into model formulations, and collaborating with cross-functional teams to drive business outcomes.

  • Advanced knowledge of optimization modeling (integer programming, constraint programming, heuristics/metaheuristics).
  • Proven experience developing and maintaining large-scale scheduling models in applied environments.
  • Ability to incorporate operational rules, contractual agreements, regulatory requirements, and business constraints into model formulations.

What You Will Achieve:

  • 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.

Our Values and Benefits:

We value trust, communication, respect, excellence, and teamwork. Our benefits include flexible schedules, celebrations, discounts, entertainment areas, flexible workspaces, great work environments, and private medical insurance.

As a Complex Scheduling and Resource Optimization Specialist, you will have the opportunity to work with a talented team of professionals who share your passion for solving complex scheduling challenges. If you are a motivated and detail-oriented individual with a strong background in optimization modeling, we encourage you to apply for this exciting opportunity.



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