Scheduling Optimization Scientist for Efficiency

Applaudo; Medellín; Presencial; COP 72.000.000 - 110.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Celebrations

Entertainment area

Modern work spaces

Great work environment

Private medical insurance

Descripción de la vacante

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.

Formación

• Advanced knowledge of optimization modeling, including integer programming and heuristics.
• Experience developing large-scale scheduling models.
• Hands-on experience with optimization solvers.

Responsabilidades

• Develop and maintain advanced optimization models for scheduling.
• Build models from event calendars and service volumes.
• Collaborate with teams to align models with real-world needs.

Conocimientos

Optimization modeling

Data analysis

Problem-solving

Communication skills

Programming (Python, Julia, C++)

Herramientas

Gurobi

CPLEX

OR-Tools

Descripción del empleo

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.