Senior Data Scientist (Airport Operations)

Location: Remote in Colombia, LATAM, or Uruguay

Company

hirify.global is delivering a data science project for a client developing an Airport Touchpoint domain focused on passenger experience and airport ground operations.

What you will do

• Analyze complex airport operational and passenger experience challenges using statistical modeling, clustering, natural language processing, and exploratory data analysis.
• Generate actionable insights and evidence to support strategic prioritization and business decision making across airport teams.
• Apply hypothesis testing, statistical inference, multivariate analysis, segmentation, principal component analysis, embeddings, and dimensionality reduction.
• Build lightweight machine learning and natural language processing models for topic modeling, classification, and semantic grouping.
• Design experiments and apply causal inference methods to evaluate business impact.
• Develop reproducible Python and SQL pipelines, datasets, dashboards, and visualizations while collaborating with Product, Airport Operations, Data Engineers, and other stakeholders.

Requirements

• 5+ years of experience in Data Science, Applied Analytics, or a related field.
• Strong foundation in statistics, hypothesis testing, inference, and multivariate analysis.
• Experience with segmentation, clustering, principal component analysis, and embeddings.
• Hands-on experience with machine learning and natural language processing, including topic modeling, classification, and semantic analysis.
• Strong background in experimental design and causal inference.
• Proficiency in Python, including Pandas, NumPy, scikit-learn, and StatsModels, plus advanced SQL skills.
• Experience building end-to-end machine learning models and reproducible analytical pipelines.
• Strong data visualization skills and experience creating decision-oriented dashboards.
• Ability to communicate analytical findings effectively to executive and non-technical audiences, collaborate across cross-functional teams, influence decisions through data, and work in Agile environments.
• Fluency in Spanish. Intermediate English is required for documentation and cross-team collaboration.

Nice to have

• Experience in airport operations or logistics.
• Familiarity with GCP tools such as BigQuery, Dataform, Dataflow, and Pub/Sub.
• Experience scaling analyses and collaborating closely with Data Engineers.
• Analytical curiosity, deep problem understanding, an experimental and impact-oriented mindset, autonomy, ownership, critical thinking, and the ability to turn complex findings into actionable recommendations.
• Clear communication with technical and non-technical teams.

Culture & Benefits

• Remote work in Colombia, LATAM, or Uruguay.
• Work in a medium-sized cross-functional team of 10–20 people.
• Collaboration with Data Scientists, Data Engineers, Product Managers, and Airport Operations specialists.
• Agile delivery practices with an emphasis on experimentation, continuous improvement, analytical rigor, documentation, and reproducibility.