No solo buscamos talento, buscamos mentes curiosas que disfruten aprender y transformar el futuro.
Somos tech, somos exigentes y sí, vamos ágil. Pero nadie compite solo. Trabajamos en equipo y si buscas retos que te saquen de la zona cómoda (porque ahí no crece nadie), estás en el lugar correcto. Aquí aprenderás con expertos, participarás en proyectos de alto impacto y estarás siempre un paso adelante en tecnología.
Technical Fundamentals
• Python Mastery: Advanced, hands-on command of Python as the primary language for end-to-end development.

• Data Science & Machine Learning: Core experience with $Scikit-Learn$, $XGBoost$, $LightGBM$, $Pandas$, $Polars$, $Statsmodels$, and $SciPy$. Experience with Deep Learning frameworks ($PyTorch$ or $TensorFlow$) when the problem complexity warrants it.

• Data at Scale & Cloud: Strong capability in advanced SQL and $PySpark$ for large-scale data exploration and transformation. Familiarity with cloud storage systems (such as Google Cloud Storage or Azure Blob Storage).

Statistical Rigor
• Experimental Design:



Hands-on application of A/B testing and hypothesis testing to solve business challenges.

• Causal Reasoning: Deep understanding of causality vs. correlation, with the ability to select and apply causal inference techniques.

• Robust Validation: Comprehensive model evaluation going beyond standard accuracy to focus on business metrics, bias detection, and subgroup analysis.

Development Discipline
• Version Control: Consistent use of Git as a core daily workflow, not just an end-of-project formality.

• Production-Ready Code: Clean, modular, and organized Python code—delivering maintainable codebases, not just exploratory notebooks.

• ML Ops & Documentation: Familiarity with experiment tracking (e.g., MLflow) and structured model documentation (defining problem scope, dataset lineage, and operational constraints).

• Engineering Standards: Adherence to team best practices, including secure credentials handling, data

📌 Senior Data Scientist (Ciudad de México)
🏢 Bluetab, an IBM
📍 Ciudad de México