Operations Research Algorithm Developer

When to Use

Frame a decision problem as an optimization model—objectives, decisions, constraints, parameters, uncertainty
Build LP, MIP, QP, or constraint programming formulations for planning and allocation
Model network flows, assignment, routing (VRP), scheduling, and resource allocation
Design inventory and production planning models (lot sizing, capacity, multi-period)
Select exact vs heuristic methods—branch-and-bound, column generation, decomposition, metaheuristics
Run sensitivity analysis, infeasibility diagnosis, and benchmarking (optimality gap, runtime)
Integrate solvers conceptually—OR-Tools, Gurobi, CPLEX, HiGHS, PuLP, Pyomo—and production patterns
Prepare input data, validate units, and enforce constraint modeling discipline
Productionize OR services—APIs, timeouts, warm starts, incremental solves, solution pools