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 their two-sided marketplace, the online and offline components of their platform and the vast surface area of their product.

In this talk, Martin Daniel, Data Scientist at Airbnb, will discuss Airbnb's emphasis on having an experimentation-centric culture and applying machine learning rigorously to address Airbnb's unique product challenges. He will show Airbnb's approach in scaling a team from 1 to 100 Data Scientists. This includes the strategy of embedding Data Scientists on every team, investing heavily in data infrastructure and tooling as well as providing broadly accessible data education to everyone in the company.

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