Data Scientist, Supply Chain Analytics

About Amplify

Amplify helps teachers bring delight and rigor to students every day. We are a leader in K–12 literacy, biliteracy, math, and science, building inspiring teaching and learning experiences based on research. The Amplify Classroom platform combines curriculum, assessment, and supplemental learning into one coherent high-quality instructional system. A pioneer in education since 2000, Amplify has developed deep relationships in states and districts by partnering with educators to drive implementation quality and improved outcomes. Today, Amplify serves more than 18 million students and teachers across all 50 states and on six continents.

The Role

We seek an experienced Data Scientist to join our Supply Chain Analytics team. In this role, you will develop Machine Learning models to forecast demand, optimize inventory, and reduce costs across our educational product portfolio. You will drive data science best practices and introduce advanced analytics capabilities to support strategic supply chain decisions affecting tens of thousands of ISBNs and hundreds of millions in revenue every year.

You will work with a cross-functional scrum team of Analytics Engineers and Data Analysts to build state-of-the-art data products. This Data Science role will report to our Data Science manager, who leads Data Science for Amplify’s Sales and Marketing departments. You will be empowered to innovate and participate in important decisions across the entire data stack.

Please note: We are considering candidates for both the Data Scientist and Senior Data Scientist levels. Candidates will be considered for the level that best aligns with their relevant experience, qualifications, and interview performance.

Essential 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.
• Seek the why behind every observation: Use advanced data analysis techniques to construct compelling narratives and recommend actions and strategies that our Supply Chain team can follow to improve operations.
• Work cross-functionally to deliver superior data products: Contribute to development efforts from data ingestion to data transformation, through to data analysis and machine learning in order to deliver high-quality, impactful data products.
• Give back to the broader Data Science team: Help our Data Science team continuously improve by participating in team learning sessions and proposing novel tooling or architectures.

Required Qualifications

• 2+ years of experience in a data science role working on supply chain forecasting problems and demand planning, OR within an adjacent domain such as logistics, retail, pricing, CPG, energy, or marketplace analytics.
• Proficiency with statistical modeling and especially time series forecasting methods (e.g., seasonal ARIMA, prophet, xGBoost).
• Expert user of Python OR R for data analysis tasks, including data cleaning, manipulation, analysis, and visualization.
• Proficiency using SQL to query and manipulate data.
• Experience in training and evaluating the performance of machine learning models leveraging industry-standard libraries like PyTorch, scikit-learn, and tidymodels.
• Experience taking ML models from research & development into production environments.
• Demonstrated application of collaborative software development 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.
• Expert knowledge of SQL, particularly its use in data analysis tasks.
• Experience with container technologies, e.g., Docker and Kubernetes.
• Hands-on experience with production ML environments and tooling such as MLFlow, AWS Sagemaker, Databricks, or Snowpark ML.
• Background in education or in ed tech.