Data Scientist, Demand Forecasting
Core
Building large-scale foundation models for demand forecasting across hundreds of millions of products to drive automated inventory decisions and financial planning.
Role type
Senior IC data scientist (time series foundation models)
Builds
Production-grade deep learning and statistical models for demand forecasting
Domain
E-commerce supply chain, time series analysis, large-scale data
Deliverable
production ML models
Required skills
SQL, Python, statistical/mathematical software, data querying, time series modeling, deep learning, exploratory data analysis, experiment design, model lifecycle management
Preferred skills
machine learning concepts, quantitative analysis, business problem solving
Technologies
Python, Scala, SQL
Responsibilities
Design and run rigorous experiments at scale to evaluate and improve foundation model performance; Lead the end-to-end lifecycle of forecasting models from research to production launch; Conduct online and offline labs to measure real-world impact on supply chain and financial outcomes; Develop and deploy production-grade deep learning and statistical models; Perform large-scale exploratory data analysis to uncover patterns and inform model development; Translate complex research findings into clear insights for technical and non-technical stakeholders
Seniority
Senior, hands-on IC
