Senior Applied Scientist, Scheduling and Optimization

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Applied Scientist, Scheduling and Optimization in Canada.

This role focuses on building and evolving the core optimization and constraint-solving intelligence behind a next-generation scheduling system used by enterprise maintenance teams. You will design and improve advanced scheduling models that transform complex real-world constraints—such as workforce availability, multi-site operations, and production windows—into reliable, executable schedules. Working at the intersection of machine learning, operations research, and product engineering, you will help shape how AI-driven scheduling is delivered through modern GenAI-powered workflows. The environment is highly collaborative, blending product thinking with deep technical problem-solving and continuous iteration with real users. You will partner closely with product, design, and engineering teams to ensure the system produces practical, trusted outcomes in production settings. This is a high-impact role where your work directly influences operational efficiency for large-scale enterprise customers. The team operates in a fast-paced, experimentation-driven culture focused on real-world performance and measurable impact.