Data Scientist - Remote - 2896

We are looking for a Data Scientist with a solid background in Python, statistics, and Machine Learning, capable of developing robust models, evaluating their impact on business problems, and delivering clean, modular, and production-ready code. Essential technical requirements: Over 5 years of experience as a Data Scientist. Advanced proficiency in Python as the primary development language. Experience with data science and Machine Learning libraries: Scikit-learn, XGBoost, LightGBM, Pandas, Polars, Statsmodels, SciPy. Knowledge of applied statistics, experimental design, and hypothesis testing. Experience in model validation, bias analysis, and evaluation of business metrics. Advanced SQL and experience with PySpark for data exploration and transformation. Experience handling data in cloud environments, especially GCS or Azure Blob Storage. Experience using Git within the standard development workflow. Ability to write modular, organized, and reusable Python code beyond exploratory notebooks. Knowledge of experiment tracking and lineage tools, such as MLflow or equivalents. Ability to document models and apply best practices in development and data management. Desirable skills: Experience with Deep Learning frameworks: TensorFlow or PyTorch. Use of Generative Artificial Intelligence tools as development assistants. Technical criteria to evaluate the relevance of LLMs and agent systems.