Data Scientist

Job Summary

Joining a dynamic Supply Chain Analytics team, the full-time remote Data Scientist will develop Machine Learning models to forecast demand, optimize inventory, and reduce costs, while collaborating with cross-functional teams to deliver impactful data products.

Key responsibilities:

• Train, test, and deploy Machine Learning models throughout the delivery pipeline, from research to monitoring
• Utilize advanced data analysis techniques to construct narratives and recommend strategies for operational improvements
• Collaborate across functions to contribute to data ingestion, transformation, analysis, and machine learning efforts

Required qualifications:

• 2+ years of experience in data science, specifically in Supply Chain forecasting or logistics optimization
• Proficiency in statistical methods and time series forecasting methodologies (e.g., SARIMA, prophet, xGBoost)
• Expertise in Python and SQL for data analysis tasks
• Experience with machine learning model training and evaluation using libraries like PyTorch and scikit-learn
• Familiarity with deploying machine learning models in production environments such as AWS Sagemaker or Databricks