Description:

Join Amplify's Supply Chain Analytics team as a Data Scientist to develop Machine Learning models for demand forecasting, inventory optimization, and cost reduction.
Collaborate with a cross-functional scrum team to build impactful data products that support strategic supply chain decisions.

Requirements:

2+ years of experience in data science focused on Supply Chain forecasting or logistics optimization.
Proficiency in statistical methods, especially time series forecasting (e.g., SARIMA, prophet, xGBoost).
Expert 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 models in production environments (e.g., AWS Sagemaker, Databricks).
Strong communication skills, especially with non-technical partners.
Ability to drive self-directed projects and work cross-functionally.

Skills