Machine Learning Scientist Interview Experience - Amsterdam, Netherlands
Process
The process consists of 4 stages.
The first is a LeetCode assessment where you're given an hour to solve a programming problem and answer some multiple-choice statistics and ML questions.
If you pass that, you talk to a recruiter to discuss the position and your interests. The next two rounds are then scheduled.
The first consists of a business use case for a certain applied ML problem where you prepare slides (i.e., no coding needed) in advance answering some questions. In the interview, you then present and take further questions.
The other round is similar but on the spot, where you talk about how you would solve the problem and take further questions on your approach.
The fourth and final round is the culture fit interview, where typical soft skill questions are asked.
Questions
Design a system to predict how many days it will take before a hotel is fully booked for the user's selected date range.
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Interview Statistics
The following metrics were computed from 4 interview experiences for the Booking.com Machine Learning Scientist role in Amsterdam, Netherlands.
Success Rate
Booking.com's interview process for their Machine Learning Scientist roles in Amsterdam, Netherlands is very selective, failing most engineers who go through it.
Experience Rating
Candidates reported having very good feelings for Booking.com's Machine Learning Scientist interview process in Amsterdam, Netherlands.
Booking.com Work Experiences
- 5.0Friendly staff, interesting positionsMachine Learning Scientist • Current EmployeeTel Aviv, IsraelJuly 14, 2024Pros: - Interesting opportunities, variety of options to develop and work in or with different teams. - Almost everyone in the company was nice, introduced themselves, and was approachable in general. - Management (both in team and group) was approachable and welcoming. - Good teaching and expanding knowledge.Cons: - Onboarding for the internship should have been shorter and more dedicated. - In Israel, the facilities are minimal (compared to the headquarters). - Only one screen to work on (a widescreen, but I'd rather work on two).
- 3.0Great Pay, Tough ManagerMachine Learning Scientist • Current EmployeeAmsterdam, NetherlandsJanuary 22, 2024Pros: Top salary. Smart colleagues from all over the world.Cons: Manager with low tech skills. Manager pushes everything onto your shoulders.
- 5.0Interesting work, great people, and cultureMachine Learning Scientist • Former EmployeeAmsterdam, NetherlandsDecember 20, 2023Pros: High skill of colleagues, great work environment, interesting workCons: Organization can be a bit chaotic.
Booking.com Interview Questions
