Full Job Description

Role Overview The Data Scientist will develop statistical and machine learning models to solve business problems, analyze large volumes of data, design experiments, validate hypotheses, and communicate findings clearly and actionable to different levels of the organization. What You Will Do Develop statistical and machine learning models, analyze large volumes of data, design experiments, validate hypotheses, and communicate findings clearly and actionable to different levels of the organization. Why It Might Be a Fit The ideal candidate will have experience in machine learning, statistical analysis, model validation, hypothesis testing, and causal analysis, as well as advanced SQL skills, PySpark, and large-scale data processing. Requirements Advanced proficiency in Python and data science libraries such as Scikit-Learn, XGBoost, LightGBM, Pandas, Polars, Statsmodels, and SciPy Experience in machine learning, statistical analysis, model validation, hypothesis testing, and causal analysis Advanced SQL skills, PySpark, and large-scale data processing Experience working with data in cloud environments such as Google Cloud Storage (GCS) and Azure Blob Storage Knowledge of good development practices: Git, modular code, technical documentation, experiment tracking, and tools like MLflow

Skills and Technologies