Scheduling Optimization Engineer

Applaudo; Contagem; Presencial; BRL 20.000 - 80.000; Tempo integral

Resumo da oferta

A leading digital solutions provider in Brazil is looking for a data-driven professional to develop and maintain advanced optimization models. This role involves solving large-scale scheduling problems by incorporating data analysis and operational constraints into optimization models. Candidates should have strong analytical skills and be proficient with optimization solvers like Gurobi and CPLEX. A great work environment and unique perks make this opportunity particularly appealing for talented individuals seeking to join a dynamic team.

Serviços

Celebrations

Special discounts

Entertainment area

Modern Workspaces

Great work environment

Qualificações

• Advanced knowledge of integer programming and heuristics.
• Proven experience in large-scale scheduling models.
• Hands-on experience with various optimization solvers.

Responsabilidades

• Develop and maintain advanced optimization models for scheduling.
• Integrate various operational rules into model formulations.
• Collaborate with teams to align optimization outputs.

Conhecimentos

Optimization modeling expertise

Experience with optimization solvers

Proficiency in Python, Julia, or C++

Data analysis skills

Problem-solving abilities

Communication skills

Ferramentas

Gurobi

CPLEX

OR-Tools

Descrição da oferta de emprego

About You

You are a data-driven professional passionate about solving complex scheduling and resource allocation challenges. You thrive on applying advanced optimization techniques to real-world problems, balancing mathematical rigor with practical feasibility. With strong analytical and modeling skills, you design solutions that improve efficiency, reduce costs, and ensure compliance with operational and regulatory requirements.

Competencies

• 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.
• 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

• 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 (Gurobi, CPLEX, OR-Tools) 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.

Additional Information

Here at Applaudo Studios values as trust, communication, respect, excellence and teamwork are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.

Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region!

We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer, are deeply thought and designed as a way to thank them for their commitment and excellence.

Perks and Benefits

• Celebrations
• Special discounts*
• Entertainment area*
• Modern Workspaces*
• Great work environment

Private Medical Insurance*

Benefits may vary according to your location and / or availability. Request further information when applying.