Airbnb is a trusted community marketplace for people to list, discover, and book unique accommodations and experiences around the world. As a consumer company, data represents the voice of Airbnb's users at scale, and Data Scientists play the role of interpreter. Data Scientists at Airbnb face unique challenges due to the dynamics of our two-sided marketplace, the online and offline components of our platform and the vast surface area of our product.
Jeff will discuss Airbnb's emphasis on having an experimentation-centric culture and applying machine learning rigorously to address our unique product challenges. Additionally, Jeff will summarize Airbnb's approach in scaling a team from 1 to 100 Data Scientists. This includes their strategy of embedding Data Scientists on every team, investing heavily in data infrastructure and tooling before scaling Data Science, and providing broadly accessible data education to everyone in the company.