Summary: Seeking a Senior Data Scientist to design and implement decision support solutions for complex cargo and network planning problems using optimization and data analysis. Highlights: 1. Design and implement optimization models for cargo and network planning 2. Develop robust Python solutions for operational decision making 3. Collaborate with operations, product, and engineering teams Client: Our client is a leading airline in Latin America, focused on enabling data\-driven decisions and delivering efficient, reliable cargo operations across the region. Project overview: 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. Position overview: 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. Technology stack: Python, SQL, mixed integer programming, constraint programming CP SAT, optimization solvers, data pipelines, experiment tracking, logging frameworks, visualization libraries, cloud data platforms * 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