Senior Data Scientist (CDC)

RequirementsProficiency in Python and PySpark for data analysis, machine learning, and demand forecasting (regression + time series models)Experience with forecasting models such as LightGBM/ XGBoost and classical time series methods (e.g., ETS/ARIMA)Strong understanding of the machine learning workflow (data cleansing, feature engineering, model evaluation, model explainability)Familiarity with forecasting evaluation metrics (e.g. MAPE, MAE) and ability to validate model performanceStrong SQL skills for managing and querying large datasetsKnowledge of data visualization tools (e.g., Power BI)Experience with cloud-based technologies such as Databricks, Azure, or AWSStrong communication skills — able to explain insights and models to both business and technical teamsOwnership and accountability — able to deliver end-to-end solutions, not just analysisCollaboration — able to work effectively with Data Engineering, Tech, Product, and Supply Chain teamsPreferred (Optional) QualificationsExposure to MLOps tools (e.g., MLflow, job scheduling)Experience building production pipelines for forecast outputs (daily/weekly runs) and supporting downstream systemsExperience in real-time analytics or scheduled processing systemsOptimization mindset — able to balance accuracy, business impact, and time constraintsBenefitsClear focus.Diverse Workplace (Our members are from around the world!)Non-hierarchical and agile environmentGrowth opportunity and career path