Data Optimization Specialist

Há 2 dias

São Paulo, São Paulo, Brasil beBeeOptimization Tempo inteiro R$120.000 - R$180.000
Data Optimization Specialist Job Description

We are seeking a data-driven professional passionate about solving complex challenges in scheduling and resource allocation.

  • Apply advanced optimization techniques to real-world problems, balancing mathematical rigor with practical feasibility.
  • Design solutions that improve efficiency, reduce costs, and ensure compliance with operational and regulatory requirements.

The ideal candidate will bring:

  • Advanced knowledge of optimization modeling (integer programming, constraint programming, heuristics/metaheuristics).
  • Proven experience developing and maintaining large-scale scheduling models in applied environments.
  • Able to incorporate operational rules, contractual agreements, regulatory requirements, and business constraints into model formulations.
  • Hands-on experience with optimization solvers (e.g., Gurobi, CPLEX, OR-Tools).
  • Proficiency in programming languages such as Python, Julia, or C++.
  • Strong understanding of data analysis for planning based on event calendars, service times, passenger volumes, and destination planning.
  • Analytical mindset with strong problem-solving skills and attention to detail.
  • Excellent communication skills to work effectively with technical and non-technical stakeholders.

Your key responsibilities will include:

  • Developing and maintaining advanced optimization models to solve large-scale scheduling problems.
  • 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 align outputs with real-world needs.
  • 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.

Benefits:

  • Promotion of analytical thinking and problem-solving skills.
  • Development of expertise in optimization modeling and solution implementation.
  • Enhancement of data analysis and visualization capabilities.
  • Collaboration with diverse stakeholders across the organization.
  • Fostering a culture of continuous learning and improvement.

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