Operations Research Engineer

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

📋 Description

• Conduct research, design, and create optimization models for effective workforce planning, scheduling, and resource allocation in contact centers.

• Develop and execute the schedule optimization engine utilizing OR-Tools/CP-SAT.

• Take ownership of the constraint model comprehensively by transforming business rules into a manageable, solvable model.

• Create a production-quality solver as a service within the Workforce Management (WFM) platform.

• Achieve latency goals for real forecast group volumes.

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

• Implement monitoring capabilities for service quality in a production environment.

• Develop and execute tests to assess optimization algorithms for performance, scalability, and accuracy.

• Collaborate with architects and engineering teams to embed optimization models into an enterprise-level 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 outcomes to both engineering and business stakeholders.

⛳️ Requirements

• Over 6 years of professional experience in designing and deploying optimization solutions within production environments.

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

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

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

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

• Proficient in Java, Python, or C++.

• Ability to translate intricate business requirements into mathematical models and optimization goals.

• Strong software engineering capabilities, with a focus on building production-ready services and validation frameworks.

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

• Working knowledge of the Workforce Management domain.

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

• Familiarity with forecasting and decision-support systems.

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

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

🏝️ Benefits

• Comprehensive compensation and benefits package, including health insurance.

• Relocation assistance program.

• Flexibility for remote work / Work From Anywhere culture.

• Opportunities for professional development.

• Access to certification programs.

• Mentorship and talent investment initiatives.

• Opportunities for internal mobility.

• Internship programs available.

• Collaboration on significant projects for leading global clients.

• An inclusive and supportive work atmosphere.

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