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 the schedule optimization engine utilizing OR-Tools/CP-SAT.

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

• Develop a production-quality solver as a service integrated within the WFM platform.

• Achieve latency targets for real forecast group volumes.

• Establish and validate schedule quality metrics, which include coverage attainment, constraint violations, solve time, and stability of solutions across re-solves.

• Equip the service with monitoring capabilities to assess quality in a production environment.

• Design and conduct tests as well as validation of optimization algorithms to ensure performance, scalability, and accuracy.

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

• Work closely with workforce-planning and real-time-analyst stakeholders to confirm the operational usability of the 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.

• Hands-on experience with OR-Tools (CP-SAT) or similar constraint-programming/mixed-integer programming solvers.

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

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

• Experience in handling large datasets and addressing large-scale optimization problems.

• Proficient in Java, Python, or C++.

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

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

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

• Familiarity with the WFM 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 a plus.

• Experience with cloud platforms such as AWS, GCP, or Azure is beneficial.

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

🏝️ Benefits

• Competitive 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 development initiatives.

• Internal mobility options.

• Internship opportunities available.

• Engagement in impactful projects for prominent global clients.

• An inclusive and supportive workplace culture.

• Encouragement of open communication.

• Regular social events for team building within the company.