Data Scientist

About the role

The Data Scientist will join the Supply Chain Analytics team to develop Machine Learning models for forecasting demand, optimizing inventory, and reducing costs across Amplify's educational product portfolio. This role will drive data science best practices and introduce advanced analytics to support strategic supply chain decisions.

Responsibilities

• Train, test, and deploy Machine Learning models
• Drive the development of new Machine Learning capabilities by contributing at every stage of the Machine Learning delivery pipeline including research, evaluation, deployment and monitoring
• Use advanced data analysis techniques to construct compelling narratives and recommend actions and strategies that improve operations
• Work cross functionally to deliver superior data products from data ingestion, to data transformation, through to data analysis and machine learning
• Contribute to team learning sessions and propose novel tooling or architectures

Requirements

• 2+ years of experience in a data science role working on Supply Chain forecasting or logistics optimization problems
• Proficiency with statistical methods and especially time series forecasting methodologies (e.g. SARIMA, prophet, xGBoost)
• Expert user of Python for data analysis tasks (data cleaning, manipulation, analysis)
• Expert user of SQL, especially its use in data analysis tasks
• Experience training and evaluating the performance of machine learning models leveraging industry standard libraries like PyTorch, scikit-learn, tidymodels, xGBoost
• Experience deploying machine learning models from research environments into production environments like AWS Sagemaker, Databricks or Snowpark ML
• Demonstrated application of software development methodology and protocols, including using git for version control and testing
• Excellent communication skills in writing and conversation, especially with non-technical partners
• Experience driving self-directed projects and working cross-functionally

Preferred Qualifications

• Experience working with Snowflake
• Experience with container technologies, e.g. Docker and Kubernetes
• Background in education or in edtech