Scheduling Optimization Scientist for Efficiency

A leading digital solutions company in Medellín is seeking a Data Scientist specializing in Scheduling Optimization. The ideal candidate will leverage advanced optimization techniques to solve complex scheduling challenges, focusing on efficiency and compliance. You will develop and maintain large-scale scheduling models, integrate various operational factors, and use optimization solvers like Gurobi and CPLEX. This role offers a collaborative environment and several attractive perks such as modern workspaces and private medical insurance.
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