Applaudo Studios is seeking a Data-Driven Scheduling Optimization Engineer to develop and maintain advanced optimization models for large-scale scheduling challenges. The role involves applying optimization techniques to improve efficiency, reduce costs, and ensure compliance with operational and regulatory requirements, while leveraging data analysis and collaboration with various teams. The ideal candidate will have a strong understanding of optimization modeling and experience with optimization solvers.
Requirements
- Develop and maintain advanced optimization models.
- Integrate operational rules, contractual agreements, and regulatory requirements into model formulations.
- Apply optimization solvers (Gurobi, CPLEX, OR-Tools).
- Programming in Python, Julia, or C++.
- Strong understanding of data analysis and problem-solving.
Benefits
- Work from home
- Flexible schedule
- Celebrations
- Special discounts
- Entertainment area
- Great work environment
- Private medical insurance