Senior Data Scientist

Requirements

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

Benefits

Additional Information

A pioneer in K-12 education since 2000, Amplify is leading the way in next-generation curriculum and assessment. Our core and supplemental programs in ELA, math, and science engage all students in rigorous learning and inspire them to think deeply, creatively, and for themselves. Our formative assessment products help teachers identify the targeted instruction students need to build a strong foundation in early reading and math. All of our programs provide educators with powerful tools that help them understand and respond to the needs of every student. Today, Amplify serves more than 15 million students in all 50 states. For more information, visit amplify.com. We are seeking a Senior Data Scientist to join our Sales Analytics team, and champion data-driven decision making across our sales organization. This role will be leading the effort in analyzing sales trends, developing sales forecast models, and providing actionable insights to optimize revenue growth and strategic planning. This role will drive the system to create accurate short-term, medium-term, and long-term sales predictions across many product lines and geographic regions. The Senior Data Scientist will report to our Data Science manager and work with a highly cross functional scrum team of Analytics Engineers and Data Analysts to build state of the art data products. As such, they will be empowered to innovate and participate in important decisions across the entire data stack. Essential Responsibilities : Develop sales forecasting excellence by building statistical and machine learning models to solve forecasting needs across business domains. Contribute to self-service forecasting data tools to enable real-time decision-making. Own the end-to-end machine learning lifecycle, including scoping, feature engineering, model training and testing, deployment, monitoring, and explainability. Drive strategic business partnership by translating technical model outputs into business-aligned recommendations and decision frameworks with forecast explainability and driver decomposition. Act as a leader in the data science team by mentoring junior data scientists, leading technical design reviews and learning sessions, and influencing roadmap and standards across the data science team. Required Qualifications: 5+ years of experience in a data science role or a graduate degree in a science or other quantitative field (eg. Computer Science, Economics, Math, Physics, Statistics) with at least 3 years focused on sales forecasting or revenue analytics Expert knowledge of time series forecasting methods, e.g. ARIMA, Prophet, LSTM, etc. Expert user of either R or Python for data analysis tasks (data cleaning, manipulation, analysis). Expert user of SQL, especially its use in data analysis tasks. Expert in the training and evaluating the performance of machine learning models leveraging industry standard libraries like PyTorch, scikit-learn, tidymodels, xGBoost. Proven track record of development and implementing machine learning pipelines running in production environments like AWS Sagemaker, Databricks or Snowflake. Demonstrated application of software development methodology and protocols, including 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.

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