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sql python pytorch xgboost prophet
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📋 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.
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