Data Science in the Wild

technology, education · EN

How do top tech companies actually ship machine learning? Each episode is a conversational deep dive into one real production system or research result, from teams like Netflix, Airbnb, Meta, Uber, Spotify, Instacart, Shopify, and Google. We cover the business problem, the technical approach, the trade-offs, and the measured impact. Topics include A/B testing and experimentation, recommender systems and ranking, LLM evaluation, AI agents, search and retrieval, and applied causal inference. It's data science in the wild: not textbook theory, but the models and decisions real companies run in production. New episodes several times a week, about 15–20 minutes each, so they fit a commute. Hosted by Peter Liu, a data scientist with 10+ years in consumer tech (Meta, Webflow, Adobe, eBay). Episodes are produced with AI-generated voices from curated source articles and papers, which are linked in each episode's notes.