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 machine-learning engineer (time series foundation models)
Builds
Production-grade deep learning and statistical models for demand forecasting
Domain
E-commerce supply chain and time series research
Deliverable
production ML models
Required skills
machine learning, statistical modeling, data mining, data querying (SQL), scripting (Python), deep learning, algorithms implementation, large-scale data processing, forecasting, statistical analysis
Preferred skills
PhD, computer vision, human robotic interaction, experience with hundreds of millions/billions of rows
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
