Description du poste
- We are looking for a Senior Data Scientist with a solid statistical background and
- practical experience in data science projects in business environments. The- execute rigorous research cycles, and deliver reproducible solutions that can be
- integrated by engineering teams.
- This role operates in close collaboration with an ML Engineering team. The- that ecosystem and the discipline to work with software engineering standards,
- not just analysis standards.

Profil
What We Are Looking For
- Technical Fundamentals
- Advanced mastery of Python as the primary and sole development language.
- Solid knowledge of data science and ML libraries: Scikit-Learn, XGBoost ,
- LightGBM, Pandas, Polars, Statsmodels, SciPy.
- Experience with deep learning models ( TensorFlow or PyTorch ) when the
- problem justifies it.
- Ability to work with data at scale: advanced SQL, PySpark for exploration
- and transformation.
- Access to and handling of data in cloud environments (GCS, Azure Blob
- Storage).
- Statistical Rigor




- Experimental design and hypothesis testing applied to business problems.
- Understanding of causality: not just correlation but the ability to distinguish and- Robust model validation: beyond accuracy, business metrics, bias analysis, and
- subgroup behavior.
- Development Discipline
- Professional use of Git as part of the usual workflow, not as a formality at
- delivery time.- code, not just exploration notebooks.
- Familiarity with experiment tracking tools (MLflow or equivalent) for
- experiment traceability.
- Ability to document models in a structured way: what it solves, with what data,
- with what limitations.
- Experience working under team standards: secure credential handling, data
- versioning, project structure.
- Judgment on AI
- Responsible use of generative AI tools as assistants: with the critical ability to
- review and validate what they produce.
- Judgment to evaluate when agent systems or LLMs are the right tool and wh

📌 Data Scientist (Ciudad de México)
🏢 Inetum
📍 Ciudad de México