Operations Research Engineer

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

📋 Description

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

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

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

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

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

• Equip the service to monitor optimization quality in a production environment.

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

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

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

• Convey 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 in production with OR-Tools (CP-SAT) or similar constraint programming/mixed-integer programming solvers.

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

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

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

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

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

• Advanced software engineering skills, capable of developing production-ready services and validation frameworks.

• Strong 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 would be beneficial.

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

• Hands-on experience with AI-assisted software development or AI-enabled solutions, including tools like Claude or GitHub Copilot, is a plus.

🏝️ 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 investment initiatives.

• Internal mobility opportunities for career growth.

• Internship programs available.

• Collaboration on impactful projects for leading global clients.

• An inclusive and supportive work environment.

• Regular company social events for team building.