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Jeff Li

Senior Data Scientist at Netflix
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About Jeff

Jeff Li is a senior data scientist at Netflix, where he builds large-scale forecasting platforms and demand generation models that power billion-dollar advertising businesses. He previously led forecasting and experimentation initiatives at Spotify and developed core machine learning systems at DoorDash. With a background spanning machine learning engineering, experimentation, and data science leadership, Jeff brings real-world expertise to his teaching, helping students understand how ML works in practice at top tech companies.

Background

Senior Data Scientist at Netflix

Pioneered demand forecasting for revenue, synthetic demand, and non-guaranteed avails, and built supply models that powered Netflix Ads from launch to $1B+.

Data Science Manager, Forecasting/ML at Spotify

Lead Spotify's podcast ads forecasting engine ($100M+), rebuild inventory, launch demand forecasting, design experimentation & causal packages.

Machine Learning Engineer at DoorDash

Developed ML-driven forecasting, recommendation, and attribution models to optimize marketplace balance, marketing, and sales.

Track record

Bringing real-world expertise from leading global companies

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Academic background

Bachelor's degree, Data Science

University of Southern California

What can Jeff teach you?

Jeff's courses demystify the full machine learning process—from experimentation to deployment—by showing how models are built, tested, and scaled in production at top tech companies. Students learn practical ML workflows, experimentation methods, and forecasting techniques that bridge theory with real-world application.

Machine Learning Data Modelling Data Science Management Demand Forecasting Experimentation