Senior Data Scientist - Airport Ops & Passenger Experience

DataArt; Monterrey; Presencial; MXN 900.000 - 1.600.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Flexible work formats

Professional development

Remote work options

Descripción de la vacante

DataArt in Monterrey, Mexico is seeking a Senior Data Scientist to tackle airport operational and passenger experience challenges using statistics, ML, NLP, and experimental approaches. You will partner with product, operations and engineering teams to turn data into actionable insights and strategic priorities.

You will apply advanced analytics, design experiments, build reproducible pipelines in Python/SQL, and create dashboards for executive decision making.

Formación

• 5+ years of experience in Data Science or analytics.
• Strong statistics, hypothesis testing, and multivariate analysis.
• Experience with segmentation, PCA, embeddings.
• Fluency in Spanish; intermediate English for documentation.

Responsabilidades

• Analyze airport operational and passenger experience challenges using statistics and ML.
• Build ML and NLP models including topic modeling and classification.
• Create dashboards to support executive decision making.
• Collaborate with Product, Operations, Data Engineers, and stakeholders.
• Design experiments and apply causal inference to measure impact.
• Develop reproducible pipelines using Python and SQL.
• Guide strategy with data-driven insights.

Conocimientos

Statistical analysis

Hypothesis testing

Segmentation

Clustering

PCA

Embeddings

Machine learning

NLP

Experimental design

Causal inference

Python (Pandas/NumPy)

SQL

Data visualization

Dashboard creation

Communication skills

Agile

Herramientas

BigQuery

Dataflow

Dataform

Pub/Sub

scikit-learn

Python

Descripción del empleo

DataArt in Monterrey, Mexico is seeking a Senior Data Scientist to tackle airport operational and passenger experience challenges using statistics, ML, NLP, and experimental approaches. You will partner with product, operations and engineering teams to turn data into actionable insights and strategic priorities.

You will apply advanced analytics, design experiments, build reproducible pipelines in Python/SQL, and create dashboards for executive decision making.