Optimization Expert

Bebeedatadriven; Manaus; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A data-driven company in Manaus is seeking an Optimization Specialist to develop and maintain advanced optimization models for scheduling problems. The ideal candidate should have expertise in optimization modeling, experience with optimization solvers like Gurobi and CPLEX, and strong programming skills in Python or similar languages. The role involves integrating operational rules into models and analyzing results for cost savings and compliance. Strong analytical and communication skills are essential for collaboration with various stakeholders.

Qualificações

• Expertise in optimization modeling (integer programming, constraint programming, heuristics/metaheuristics).
• Proven experience developing large-scale scheduling models.
• Hands-on experience with optimization solvers.

Responsabilidades

• Develop and maintain optimization models for scheduling problems.
• Integrate operational rules and business constraints into models.
• Analyze results to identify improvements and risks.

Conhecimentos

Optimization modeling expertise

Programming in Python

Analytical mindset

Communication skills

Ferramentas

Gurobi

CPLEX

OR-Tools

Descrição da oferta de emprego

Optimization Specialist

We are seeking a highly skilled optimization specialist to drive business outcomes through advanced data‑driven techniques.

Qualifications

• Expertise in 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.

Responsibilities

• 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.