Data Scientist

• Skills: Scrum, SQL, Docker, AWS, Kubernetes, Git, Machine Learning, Python, Snowflake, Scikit, PyTorch
• Experiences: Mid-level
• Employments: Full-time
• Locations: United States (Remote)

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.

Benefits:

• Opportunity to innovate and influence decisions across the data stack.
• Contribute to team learning and improvement initiatives.