Senior Data Scientist (Optimization Python)

TL;DR

Senior Data Scientist (Optimization, Python): Building advanced optimization and analytics solutions to support cargo and network planning processes with an accent on translating real operational constraints into mathematical models and production-ready systems. Focus on designing and implementing optimization models using mixed integer programming and constraint programming, solving scheduling and routing problems with operational constraints, and scaling solutions for large-scale challenges using heuristics and decomposition.

Location: Monterrey (Mexico), Montevideo (Uruguay), Rosario (Argentina), Remote (Argentina), Remote (Colombia)

Company

Global outsourcing company working on optimization solutions for cargo planning platforms with a medium-sized cross-functional team (10-20 people).

What you will do

• Analyze cargo and network planning problems using data analysis and optimization techniques
• Design and implement optimization models with mixed integer programming and constraint programming
• Translate operational rules into validated mathematical formulations and solve scheduling/routing problems
• Apply heuristics, warm starts, and decomposition for scaling large problems
• Build reproducible Python pipelines with logging, testing, and version control
• Create visualizations for operational understanding and collaborate with stakeholders to refine models

Requirements

• Fluency in Spanish and intermediate working proficiency in English
• At least 5 years in data science, optimization, or operations research
• Hands-on with mixed integer programming and/or constraint programming (CP SAT)
• Experience solving scheduling, routing, or network optimization problems
• Strong Python with software engineering practices (testing, modular design)
• Strong SQL, data analysis, and building reproducible pipelines
• Experience scaling models with heuristics/decomposition and Agile environments
• Strong communication with technical and non-technical stakeholders

Nice to have

• Experience in cargo, airline, logistics, or transportation domains
• Familiarity with fleet, maintenance, hub, or capacity planning
• Cloud data platforms like BigQuery or Dataflow
• Background in combinatorial optimization

Culture & Benefits

• Vacation as per laws of your country
• Health insurance for you and loved ones
• Sick pay: 10 days without doctor's note, then per local laws
• Time off for state holidays per official calendar
• Pleasant environment with corporate parties and get-togethers
• Comfort service for technical and everyday work issues