Operations Research Engineer

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

📋 Description

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

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

• Take ownership of the constraint model from beginning to end by formalizing business rules into a workable and maintainable model.

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

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

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

• Design and conduct tests to validate the performance, scalability, and accuracy of optimization algorithms.

• Collaborate with architects and engineering teams to integrate optimization models into a high-quality enterprise optimization engine.

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

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

⛳️ Requirements

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

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

• A solid understanding of 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++.

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

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

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

• Familiarity with the Workforce Management (WFM) domain.

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

• Knowledge of forecasting and decision-support systems.

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

• Practical experience with AI-assisted software development or AI-enabled solutions, including tools such as Claude or GitHub Copilot.

🏝️ Benefits

• Comprehensive 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.

• Opportunities for internal mobility.

• Internship opportunities available.

• An inclusive and supportive work culture.

• Regular team-building social events within the company.