Ben Teeuwen spends most of his work time as a data scientist empowering data scientists through tooling and trainings to use ML to further personalize Booking.com. Ben guided widespread adoption of Spark throughout the company. Before starting to work for Booking.com in 2014, he studied cognitive psychology, researched public sector innovation and worked on educational publishing tech.
Scaling Machine Learning at Booking.com with H2O Sparkling Water and FeatureStore
At Booking.com we have a community of over 150 data scientists working on personalizing the experience of our customers, improving visibility of our partners on the platform and preventing fraud. Because of the company’s growth and size, tasks like finding consistent data sources, building robust features and productionizing models can be challenging and time-consuming for ML practitioners. In this talk we will share our journey from the origins, where models were very much hand-crafted, till nowadays, where we have tooling for discovering and building reusable online and offline features and self-service tools to deploy models in production quickly. Along the way, we’ll share how H2O Sparkling Water plays a key role for building scalable models with large training datasets while allowing fast-predictions on our website