Operations Research Engineer

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

📋 Description

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

• Design and implement a scheduling optimization engine utilizing OR-Tools/CP-SAT.

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

• Develop a production-grade solver as a service within the WFM platform to achieve latency targets for real forecast group volumes.

• Define and validate quality metrics for schedules, including coverage attainment, constraint violations, solve time, and solution stability across re-solves.

• Enable the service to monitor quality in a production environment.

• Create and conduct tests to validate optimization algorithms for performance, scalability, and accuracy.

• Collaborate with architects and engineering teams to integrate optimization models into an enterprise-level optimization engine.

• Partner with workforce-planning and real-time analyst stakeholders to confirm the operational usability of generated schedules.

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

⛳️ Requirements

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

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

• A strong 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 tackling large-scale optimization problems.

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

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

• Strong software engineering capabilities, particularly in developing production-ready services and validation frameworks.

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

• Familiarity with the WFM domain is a plus.

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

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

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

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

🏝️ Benefits

• Comprehensive compensation and benefits package.

• Health insurance.

• Relocation program.

• Flexibility for remote work / Work From Anywhere culture.

• Opportunities for professional development.

• Certification programs.

• Mentorship and talent investment initiatives.

• Opportunities for internal mobility.

• Internship opportunities.

• Collaboration on impactful projects for top global clients.

• An inclusive and supportive work environment.

• Regular team-building company social events.