Data Scientist - Scheduling Optimization

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.
• Hands-on experience with optimization solvers (Gurobi, CPLEX, OR-Tools).
• Proficiency in Python, Julia, or C++.
• Strong data analysis skills for planning based on calendars, service times, volumes, destinations.
• Analytical mindset with problem-solving and attention to detail.
• Excellent communication with technical and non-technical stakeholders.

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.
• Apply optimization solvers (Gurobi, CPLEX, OR-Tools) to generate feasible, efficient schedules.
• Collaborate with operations, planning, and technology teams to align outputs with real-world needs.
• Analyze results to identify cost savings, efficiency improvements, and compliance risks.
• Continuously refine models to adapt to changes in resource availability, demand patterns, and operational constraints.

Conocimientos

Optimization modeling

Data analysis

Problem-solving

Communication skills

Programming (Python, Julia, C++)

Herramientas

Gurobi

CPLEX

OR-Tools

Python

Julia

C++

Descripción del empleo

Data Scientist – Scheduling Optimization

You are a data‑driven professional passionate about solving complex scheduling and resource allocation challenges. You thrive on applying advanced optimization techniques to real‑world problems, balancing mathematical rigor with practical feasibility. With strong analytical and modeling skills, you design solutions that improve efficiency, reduce costs, and ensure compliance with operational and regulatory requirements.

Qualifications

• Advanced knowledge of optimization modeling (integer programming, constraint programming, heuristics/metaheuristics).
• Proven experience developing and maintaining large‑scale scheduling models in applied environments.
• Ability to incorporate operational rules, contractual agreements, regulatory requirements, and business constraints into model formulations.
• Hands‑on experience with optimization solvers (e.g., Gurobi, CPLEX, OR‑Tools).
• Proficiency in programming languages such as Python, Julia, or C++.
• Strong understanding of data analysis for planning based on event calendars, service times, passenger volumes, and destination planning.
• Analytical mindset with strong problem‑solving skills and attention to detail.
• Excellent communication skills to work effectively with technical and non‑technical stakeholders.

Responsibilities

• Develop and maintain advanced optimization models to solve large‑scale scheduling problems.
• Build models that consider event calendars, service times, passenger volumes, and destinations using available data.
• Integrate operational rules, contractual obligations, regulatory requirements, and business constraints into model formulations.
• Apply optimization solvers (Gurobi, CPLEX, OR‑Tools) to generate feasible, efficient schedules.
• Collaborate with operations, planning, and technology teams to align outputs with real‑world needs.
• Analyze results to identify cost savings, efficiency improvements, and compliance risks.
• Continuously refine models to adapt to changes in resource availability, demand patterns, and operational constraints.

Benefits

• Celebrations
• Entertainment area*
• Modern work spaces*
• Great work environment
• Private medical insurance*

*Benefits may vary according to your location and/or availability. Request further information when applying.

Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region! We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks we offer are deeply thought and designed as a way to thank them for their commitment and excellence.