Senior Data Scientist

Seeking a Senior Data Scientist with 5+ years of experience in data science, statistical analysis, and applied research roles, with a strong background in Python and data science libraries.

Requirements

• More than 5 years in data science, statistical analysis, or applied research roles.
• Documentable end-to-end projects: from problem definition to delivery of a validated model.
• Experience working with engineering teams (ML Engineers, Data Engineers) in agile environments.
• Work history in real code repositories (a shareable portfolio will be valued).
• 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).
• 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.
• 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 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.