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      Data Scientist Interview

      5 Sept 2025
      Anonymous interview candidate
      Mountain View, CA
      No offer
      Positive experience
      Average interview

      Application

      I interviewed at Waymo (Mountain View, CA)

      Interview

      Virtual Technical Coding Assessment followed by phone screen and then there is a final round of interview. I failed at the phone screen questions were simple but ambiguous so better to clarify questions upfront

      Interview questions [1]

      Question 1

      Describe what visualizations you would use
      Answer question

      Other Data Scientist interview reviews for Waymo

      Data Scientist Interview

      28 May 2025
      Anonymous interview candidate
      San Francisco, CA
      No offer
      Negative experience
      Easy interview

      Application

      I interviewed at Waymo (San Francisco, CA)

      Interview

      recruiter screen, did a self-intro, and recruiter introduced the interview process, no more questions. recruiter screen, did a self-intro, and recruiter introduced the interview process, no more questions. i wasn't moved forward , i wasn't moved forward , i wasn't moved forward

      Interview questions [1]

      Question 1

      introduce yourself, work eligibility , location
      Answer question

      Data Scientist Interview

      18 Dec 2021
      Anonymous interview candidate
      Los Angeles, CA
      No offer
      Positive experience
      Difficult interview

      Application

      I applied through a recruiter. The process took 2 weeks. I interviewed at Waymo (Los Angeles, CA) in Oct 2021

      Interview

      There was a short 30 minutes recruiter round followed by a 45-minute technical interview. The recruiter was very helpful and explained all the requirements well. The interviewer for the technical round was very friendly as well. It shows that they are looking for a co-worker. The interview consisted of some simple data and some simple real-life questions. You have to use your preferred coding language and try to structure the questions and find an answer from the data. It was a mixture of statistics, data interpretation and coding. Be sure to communicate what you are thinking out loud and treat it like a discussion.

      Interview questions [1]

      Question 1

      Q: Python/R/SQL data manipulation on a small dataset.
      Answer question
      3

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