Senior 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 within 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 translating business rules into a solvable and maintainable framework.

• Create a production-grade solver as a service within the workforce management platform.

• Achieve latency targets for real forecast group volumes.

• Establish and confirm schedule quality metrics, such as coverage attainment, constraint violations, solve time, and solution stability across re-solves.

• Equip the service with instrumentation for quality monitoring in production.

• Develop and perform tests to validate optimization algorithms for 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-analysis stakeholders to ensure that generated schedules are operationally feasible.

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

⛳️ Requirements

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

• Practical experience in production environments 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.

• Experience working with 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 targets.

• Strong software engineering capabilities to build production-ready services and validation frameworks.

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

• Familiarity with the workforce management domain is a plus.

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

• Knowledge of forecasting and decision-support systems is preferred.

• Experience with cloud platforms like AWS, GCP, or Azure is a bonus.

• Practical experience with AI-assisted software development or AI-enabled solutions, including tools like Claude or GitHub Copilot, is desirable.

🏝️ Benefits

• Comprehensive compensation and benefits package.

• Health insurance coverage.

• Relocation assistance program.

• Flexibility for remote work / Work From Anywhere Culture.

• Opportunities for professional development.

• Access to certification programs.

• Mentorship and talent investment initiatives.

• Internal mobility opportunities for career advancement.

• Internship opportunities available.

• Collaborate on impactful projects for leading global clients.

• Inclusive and supportive workplace culture.

• Regular team-building social events organized by the company.