
Operations Research Engineer
Posted Nov 4

Posted Nov 4
This is a fully remote position, open to applicants in Canada.
• Conduct research, design, and develop optimization models for workforce planning, scheduling, and resource allocation in contact centers.
• Create and implement the schedule optimization engine utilizing OR-Tools/CP-SAT.
• Take ownership of the constraint model from start to finish by translating business rules into a solvable and maintainable format.
• Develop a production-grade solver as a service within the WFM platform to achieve latency targets for actual forecast group volumes.
• Establish and validate schedule quality metrics, including coverage achievement, constraint violations, solve time, and solution stability across re-solves.
• Implement monitoring for service quality in a production environment.
• Design and execute tests to validate the performance, scalability, and accuracy of optimization algorithms.
• Collaborate with architects and engineering teams to integrate optimization models into a robust workforce management 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 engineering and business stakeholders.
• Over 6 years of professional experience in designing and implementing optimization solutions within production environments.
• Practical production experience with OR-Tools (CP-SAT) or a similar constraint-programming/mixed-integer-programming solver.
• Solid understanding of linear programming, integer programming, or stochastic optimization.
• Direct experience in modeling and solving workforce or resource scheduling challenges.
• Proficient in handling large datasets and addressing large-scale optimization problems.
• Skilled in Java, Python, or C++.
• Experienced in converting complex business requirements into mathematical models and optimization objectives.
• Strong software engineering abilities to build production-ready services and validation frameworks.
• Excellent analytical, problem-solving, and communication skills.
• Familiarity with the WFM domain.
• Experience in developing optimization solutions for workforce planning, scheduling, logistics, transportation, or resource allocation.
• Knowledgeable in forecasting and decision-support systems.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Practical experience with AI-assisted software development or AI-enabled solutions, including tools like Claude or GitHub Copilot.
• Comprehensive compensation and benefits package.
• Health insurance.
• Relocation program.
• Flexibility for remote work.
• Opportunities for professional development.
• Access to certification programs.
• Mentorship and talent investment initiatives.
• Internal mobility opportunities.
• Internship programs.
• Engaging projects for leading global clients.
• An inclusive and supportive workplace environment.
• Regular team-building and social events.
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