Data Scientist

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. 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 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 workflo