Senior Data Scientist with Optimization and Python, Cargo Planning Platform
About the Position
We are looking for a Senior Data Scientist with a strong focus on optimization to design and implement decision support solutions for complex cargo and network planning problems. You will combine optimization modeling, data analysis, and software engineering practices to build scalable and reliable systems that support operational decision making in a data driven environment.
About the Project
The project focuses on building advanced optimization and analytics solutions to support cargo and network planning processes. The work involves translating real operational constraints into mathematical models and production ready systems used by planning and operations teams.
About the Team
You will work in a cross functional team that includes data scientists, software engineers, product specialists, and operations experts. The team collaborates closely using Agile practices, with regular interaction between technical and business stakeholders to validate assumptions and outcomes.
Responsibilities
- Analyze cargo and network planning problems using data analysis and optimization techniques
- Design and implement optimization models using mixed integer programming and constraint programming
- Translate operational rules and constraints into validated mathematical formulations
- Solve scheduling and routing problems with time windows, capacity limits, and operational constraints
- Apply heuristics and scaling techniques such as warm starts and decomposition for large scale problems
- Perform exploratory data analysis to ensure data quality, consistency, and correct integration
- Design experiments with clear hypotheses and reproducible results
- Develop robust Python solutions with modular structure and automated tests
- Build reproducible pipelines with logging, traceability, and version control
- Create visualizations to support operational understanding such as schedules and infeasibility diagnostics
- Collaborate with operations, product, and engineering teams to refine models and solutions
- Communicate model behavior, trade offs, and limitations to technical and business stakeholders
Requirements
- At least five years of experience in data science, optimization, or operations research
- Hands on experience with mixed integer programming and or constraint programming CP SAT
- Experience solving scheduling, routing, or network optimization problems
- Strong Python skills with good software engineering practices including testing and modular design
- Strong data analysis skills including exploratory data analysis and data validation
- Experience building reproducible analytical or optimization pipelines
- Strong SQL skills and experience integrating multiple data sources
- Experience scaling optimization models using heuristics or decomposition approaches
- Experience working in Agile delivery environments
- Strong communication skills for working with technical and non technical stakeholders
- Fluency in Spanish and intermediate working proficiency in English
Nice to Have
- Experience in cargo, airline, logistics, or transportation domains
- Familiarity with fleet, maintenance, hub, or capacity planning constraints
- Experience with cloud based data platforms such as BigQuery or Dataflow
- Background in combinatorial optimization
Technologies
Python, SQL, mixed integer programming, constraint programming CP SAT, optimization solvers, data pipelines, experiment tracking, logging frameworks, visualization libraries, cloud data platforms
