Junior data scientist on Decathlon's Downstream Demand Forecast team, analyzing sales data and building AI/statistical models for multi-echelon demand forecasting to optimize stock across the supply chain. Day to day involves modeling in Python/Spark (TensorFlow, PyTorch, scikit-learn) deployed via Databricks, Airflow, MLflow and Docker, with Tableau visualizations for stakeholders.
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