Amplify is seeking a Senior Data Scientist to champion data-driven decision making across the sales organization, analyzing sales trends, developing sales forecast models, and providing actionable insights to optimize revenue growth and strategic planning.
Requirements
- 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.
- Experience working with Snowflake.
- Experience with container technologies, e.g. Docker and Kubernetes.
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.
Other
- 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
- Excellent communication skills in writing and conversation, especially with non-technical partners.
- Experience driving self-directed projects and working cross-functionally.
- Background in education or in edtech.
- Must be eligible to work in the US
