Scheduling Optimizer: Master Complex Timelines

Applaudo is seeking a data-driven professional to solve complex scheduling and resource allocation challenges. The role focuses on developing advanced optimization models and requires strong analytical skills and programming proficiency in Python, Julia, or C++.

The ideal candidate will integrate operational rules and business constraints into their models, balancing mathematical rigor with practical feasibility. Join us to improve efficiency and compliance with operational and regulatory requirements.