Description
Sé parte de Stefanini​

En Stefanini somos más de 30.000 genios, conectados desde 41 países, haciendo lo que les apasiona y co-creando un futuro mejor.​

Responsibilities
Profile Request: Senior Data Scientist
Data Science MX | Walmart General Tech

Role Description
We are looking for a Senior Data Scientist with a solid statistical background and
practical experience in data science projects in business environments. The
candidate must be able to frame complex problems as modeling problems,
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
candidate is expected to have clear judgment about their responsibilities within
that ecosystem and the discipline to work with software engineering standards,
not just analysis standards.

Prerequisites
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 apply appropriate techniques.
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.
Organized and modular Python code: the candidate must produce deliverable
code, not just exploration notebooks.
Familiarity with experiment tracking tools (MLflow or equivalent) for
experim

📌 Data Scientist (México)
🏢 Stefanini LATAM
📍 México