Operations Research Scientist

About the role

You will work on some of the most computationally demanding problems in our portfolio: nurse staffing, OR scheduling, and large-scale route optimization. You will translate academic research into working systems and collaborate directly with MIT partners who are leaders in the field.

What you will do

• Formulate and solve large-scale optimization problems in routing, staffing, and scheduling
• Implement and tune solvers (exact, heuristic, and hybrid approaches)
• Translate research results into production-ready algorithms
• Collaborate with MIT Sloan researchers on joint research initiatives
• Validate and benchmark solution quality against industry baselines

What we are looking for

• Graduate degree (MSc or PhD) in Operations Research, Applied Mathematics, or related field
• Strong foundation in mathematical optimization: LP, MIP, constraint programming, or stochastic methods
• Programming proficiency in Python; experience with solvers like Gurobi, CPLEX, or OR-Tools
• Ability to read and contribute to academic research
• Strong analytical thinking and problem decomposition skills

Nice to have

• Experience with vehicle routing or workforce scheduling problems
• Published research in optimization or operations research
• Familiarity with simulation-based optimization