As a Data Scientist 3(Operations Research), you will own a workstream within Valmo network design — not just a model.
Own a workstream end to end: decide which problems are worth solving, set and drive its roadmap…
Formulate complex, loosely defined business problems in network design, routing, scheduling, allocation and capacity planning as LP, MILP, MINLP or constraint programming models…
Solve them at scale with decomposition (Benders, Lagrangian relaxation, column generation, branch-and-price), heuristics and metaheuristics (large neighbourhood search, ALNS…
Handle uncertainty with stochastic, robust and chance-constrained optimisation, and test decisions through simulation before they reach the ground.
Bachelor's, Master's or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Computer Science or a related quantitative field.
Deep expertise in mathematical optimisation (LP, MILP, network flows, integer and combinatorial optimisation), with a proven ability to formulate ambiguous problems, design heuristics…
Experience with large-scale solution methods (decomposition, column generation, heuristics and metaheuristics, constraint programming) and with optimisation under uncertainty and simulation.
Hands-on experience with solvers and modelling tools such as Gurobi, CPLEX, OR-Tools (including CP-SAT), HiGHS, Pyomo or PuLP.
Experience: Mid-level · 5–8 years · Job type: Full-time
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