Operations Research Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Conduct research, design, and create optimization models for workforce planning, scheduling, and resource allocation in contact centers.

• Develop and implement the schedule optimization engine utilizing OR-Tools/CP-SAT.

• Take ownership of the constraint model from start to finish by formalizing business rules into a workable and maintainable model.

• Create a production-grade solver as a service within the Workforce Management (WFM) platform.

• Establish and validate metrics for schedule quality, including coverage attainment, constraint violations, solve time, and solution stability through re-solves.

• Implement monitoring tools to track quality in a production environment.

• Design and execute tests, validating optimization algorithms for performance, scalability, and accuracy.

• Collaborate with architects and engineering teams to integrate optimization models into a robust enterprise-grade workforce management optimization engine.

• Partner with stakeholders in workforce planning and real-time analysis to confirm the validity of generated schedules.

• Effectively communicate and present findings, methodologies, and results to both engineering and business stakeholders.

⛳️ Requirements

• Over 6 years of professional experience in designing and implementing optimization solutions in production settings.

• Practical experience with OR-Tools (CP-SAT) or a similar constraint-programming/mixed-integer programming solver.

• Strong background in linear programming, integer programming, or stochastic optimization.

• Direct experience in modeling and resolving workforce or resource scheduling challenges.

• Experience handling large datasets and addressing large-scale optimization issues.

• Proficient in Java, Python, or C++.

• Ability to translate complex business requirements into mathematical models and optimization objectives.

• Strong software engineering capabilities, enabling the development of production-ready services and validation frameworks.

• Excellent analytical, problem-solving, and communication skills.

• Working knowledge of the Workforce Management (WFM) domain.

• Experience in developing optimization solutions for workforce planning, scheduling, logistics, transportation, or resource allocation.

• Understanding of forecasting and decision-support systems.

• Familiarity with cloud platforms like AWS, GCP, or Azure.

• Hands-on experience with AI-assisted software development or AI-enabled solutions, including tools such as Claude or GitHub Copilot.

🏝️ Benefits

• Comprehensive compensation and benefits package.

• Health insurance coverage.

• Relocation assistance program.

• Flexibility for remote work.

• Opportunities for professional development.

• Access to certification programs.

• Mentorship and talent investment initiatives.

• Internal mobility options.

• Internship opportunities available.

• Collaboration on impactful projects with top global clients.

• An inclusive and supportive work environment.

• Regular team-building and company social events.