Product Owner – Recommender Engine

Booking.com is looking for a Product Owner Data Science. As Data Science Product Manager (E-commerce) you will be empowered to create personalization products and features that improve our customers’ experience by using our data, with a strong focus on driving conversion and customer loyalty.

We are looking for an passionate E-Commerce Product Owner with substantial experience in a data science related discipline, preferably recommendation engines or other personalization methods to extend our already highly impactful teams with industry experience and a different perspective.

You will lead a team of data scientists, designers and developers in the Front-end Team to constantly find and test improvements with high commercial impact. This Product Owner is an experienced technical product leader with significant responsibility, and we will offer you a fantastic opportunity to improve the customer experience of the world’s leading online hotel reservations website. If you have a strong commercial focus, a solid background in statistics, data science and managerial experience with machine learning for a major website don’t hesitate to apply because we would be like to be in contact with you!

B.responsible

  • Ownership, prioritization and briefing for projects of varying length and complexity
  • Research impactful uses of big data to create new features, and enhance the existing ones
  • Identify improvements opportunities in the main website, that could be tackled with solutions based on data.
  • Helping to define the (Mid/long term) navigational chart of Web-intelligence at

Meet Some of Booking.com's Employees

Anne-Sophie L.

Director of Product

Anne-Sophie oversees product managers and developers who create new features for Booking.com’s attractions, tours, and activity launches, ensuring travelers continue to have great experiences.

Jonathan P.

Data Scientist

Jonathan works with the Booking Home Team to focus on non-hotel accommodation—and the potential visitors who may stay in them—by working with data related to both.


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