Senior Data Scientist (Ciudad de México)

Senior Data Scientist (Ciudad de México)

17 ago
|
Bluetab, an IBM
|
Ciudad de México

17 ago

Bluetab, an IBM

Ciudad de México

We're not just looking for talent; we're looking for curious minds that enjoy learning and shaping the future.

We're a demanding technology company, and yes, we move fast. But nobody competes alone. We work as a team, and if you're looking for challenges that push you out of your comfort zone (because you don't grow there), you're in the right place. Here, you'll learn from experts, participate in high-impact projects, and always be at the forefront of technology.

Aquí tienes la descripción estructurada, limpia y en un formato competente, ideal para publicarse en plataformas de empleo (LinkedIn, Indeed, portal interno, etc.):

About the Role

We are looking for a Senior Data Scientist with a solid statistical background and practical experience delivering data science projects in business environments.

In this role, you will frame complex business challenges into formal modeling problems, execute rigorous research cycles, and deliver reproducible solutions designed for seamless integration by engineering teams. You will work in close collaboration with ML Engineers; therefore,



we expect clear judgment regarding role boundaries within the ecosystem and the discipline to adhere to strict software engineering standards—beyond basic analytical practices.

What We Are Looking For

Technical Fundamentals
- Primary Language: Advanced mastery of Python as your primary development language.
- DS & ML Ecosystem: Solid expertise in Scikit-Learn, XGBoost, LightGBM, Pandas, Polars, Statsmodels, and SciPy.
- Deep Learning: Hands-on experience with TensorFlow or PyTorch (when the problem complexity justifies it).
- Data at Scale: Advanced SQL and PySpark for scalable data exploration and transformation.
- Cloud Infrastructure: Familiarity with cloud storage and data handling (GCS, Azure Blob Storage).

Statistical Rigor
- Experimental Design: Hypothesis testing and experimental design applied directly to business problems.
- Causal Inference: Deep understanding of causality—di

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

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