Operations Research Engineer

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

📋 Description

• Conduct research, design, and develop optimization models aimed at workforce planning, scheduling, and resource allocation for contact centers.

• Create and implement a schedule optimization engine utilizing OR-Tools/CP-SAT.

• Take full ownership of the constraint model by transforming business rules into a solvable and maintainable framework.

• Develop a production-ready solver service within the WFM platform that adheres to latency targets for actual forecast group volumes.

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

• Equip the service for quality monitoring in a production environment.

• Design and conduct tests to validate optimization algorithms concerning performance, scalability, and accuracy.

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

• Work alongside workforce planning and real-time analyst stakeholders to ensure the operational usability of generated schedules.

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

⛳️ Requirements

• A minimum of 6 years of professional experience in designing and implementing optimization solutions within production settings.

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

• A solid foundation in linear programming, integer programming, or stochastic optimization.

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

• Proven experience in handling large datasets and addressing large-scale optimization issues.

• Proficiency in programming languages such as Java, Python, or C++.

• Experience in translating complex business requirements into mathematical models and optimization objectives.

• Strong software engineering capabilities, with the ability to create production-ready services and validation frameworks.

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

• Familiarity with the WFM domain (preferable).

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

• Knowledge of forecasting and decision-support systems (preferable).

• Exposure to cloud platforms such as AWS, GCP, or Azure (preferable).

• Hands-on experience with AI-assisted software development or AI-enabled solutions, including tools like Claude or GitHub Copilot (preferable).

🏝️ Benefits

• Health insurance

• Relocation program

• Remote work flexibility / Work From Anywhere Culture

• Professional development opportunities

• Certification programs

• Mentorship and talent investment programs

• Internal mobility opportunities

• Internship opportunities

• Collaboration on impactful projects for top global clients

• Inclusive and supportive work environment

• Regular team-building company social events