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Operations Research Engineer - OR-Tools (Workforce Scheduling)

Remote • Posted 1 hour ago • Updated 1 hour ago

Contract Independent

Contract W2

6 Months

No Travel Required

Remote

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

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Operations Research Engineer

Summary

Position: Operations Research Engineer - OR-Tools (Workforce Scheduling)

Location: Remote

What You''ll Do:

Design, build, and tune workforce scheduling optimization models using Google OR-Tools (or equivalent constraint programming / mixed-integer optimization toolkits).
Translate real-world WFM constraints - shift patterns, skill-based routing, agent availability, service-level targets - into solvable optimization formulations.
Work directly with product and engineering to integrate the optimization engine into the broader WFM platform, consuming live data (call volumes, agent performance, real-time status) from Amazon Connect.
Participate in design discussions and iterate model performance against real adoption and usability feedback, not just theoretical accuracy.
Document modeling assumptions and tradeoffs clearly enough for a non-OR engineering team to maintain the system long-term.

Required Experience:

6–10 years combined experience in operations research, optimization engineering, or applied algorithms - including hands-on production use of OR-Tools or a comparable solver (CPLEX, Gurobi, OptaPlanner).
Demonstrated experience modeling scheduling, rostering, or resource-allocation problems - workforce/contact-center scheduling experience is a strong plus, but general scheduling/logistics optimization background is acceptable.
Strong software engineering fundamentals - able to integrate optimization code into a production full-stack platform, not just deliver notebooks or standalone scripts.
Comfortable working in a cloud-native stack (AWS, Kubernetes, Docker).
Must be based in and eligible to work remotely within the United States.

Preferred:

Prior Workforce Management (WFM) software development experience.
Familiarity with contact center operations (service levels, shrinkage, Erlang-based staffing models) as context for the optimization work.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91099596
Position Id: 9065950
Posted 1 hour ago

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Sathish Kumar

Recruiter @ Emergere Technologies

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