Scheduling Optimization Engineer

buscojobs Brasil; São Paulo; Teletrabalho; BRL 20.000 - 80.000; Tempo integral

Resumo da oferta

A leading digital solutions company in São Paulo is seeking a data-driven professional to develop and maintain advanced optimization models for scheduling. The ideal candidate will have an expertise in optimization modeling and experience with scheduling models, capable of translating complex data into feasible schedules. Join the team for an innovative and flexible work environment with great benefits.

Serviços

Work from home

Flexible schedule

Private medical insurance

Great work environment

Qualificações

• Advanced knowledge of optimization modeling.
• Proven experience in developing scheduling models.
• Ability to incorporate operational rules into model formulations.

Responsabilidades

• Develop and maintain optimization models for scheduling.
• Build models based on data about events and passenger volumes.
• Collaborate with teams to align outputs with needs.

Conhecimentos

Optimization modeling expertise

Experience with scheduling models

Hands-on experience with solvers like Gurobi

Proficiency in Python, Julia, or C++

Data analysis skills

Strong analytical mindset

Excellent 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.

You bring to Applaudo the following 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

• Work from home
• Flexible schedule
• Celebrations
• Special discounts
• Entertainment area
• Flexible work spaces
• Great work environment
• Private medical insurance
• Benefits may vary according to your location and / or availability. Request further information when applying.