Data Scientist

📋 Description Train, test, and deploy ML models across the pipeline. Analyze data to identify actions to improve operations. Deliver high-quality data products with cross-functional teams. Lead team learning sessions and propose novel tooling or architectures. 🎯 Requirements 2+ years in data science focused on supply chain forecasting. Time series methods (SARIMA, Prophet, XGBoost). Python for data cleaning, manipulation and analysis. SQL for data analysis tasks. Deploy ML models to production (Sagemaker, Databricks, Snowpark ML). Experience with git and software development practices.