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      PhysicsX

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      Data Scientist Interview

      3 Jul 2026
      Anonymous interview candidate
      No offer
      Positive experience
      Difficult interview

      Application

      I applied online. I interviewed at PhysicsX in Jun 2026

      Interview

      The interview process consists of 6 stages! The initial 30 minutes call with Tom was very good, overall a very good and clear communication with him during the process. I made it to the second stage - 1 hour coding test on CoderByte. There were 3 tasks, one of which was quite extensive and took most of the time and as a result there was just not enough time to finish it all. Especially if you include time to submit (the submission of the notebook was rendering for a good minute and wasn't succesful the first time so it had to be rendered again) and time to setup and read the instructions, as the time starts to run immediately when you are still on the initial page. If I had 10 more minutes the whole thing could have gone another way.

      Interview questions [1]

      Question 1

      Do you have experience with deep learning.
      Answer question

      Other Data Scientist interview reviews for PhysicsX

      Data Scientist Interview

      19 Jun 2026
      Anonymous interview candidate
      New York, NY
      No offer
      Positive experience
      Average interview

      Application

      I interviewed at PhysicsX (New York, NY)

      Interview

      Very smooth and nice really appreciated the process, the team is here to help. I didn't get until the end of the process although I was really into the company.

      Interview questions [1]

      Question 1

      What do you like to solve
      Answer question

      Data Scientist Interview

      7 Mar 2026
      Anonymous interview candidate
      No offer
      Neutral experience
      Average interview

      Application

      I interviewed at PhysicsX

      Interview

      The PhysicsX data scientist interviews included recruiter screening, technical assessment coding statistics machine learning, case study or take home task, technical deep dive with scientists, and culture/values interview emphasizing physics informed modeling solving.

      Interview questions [1]

      Question 1

      How would you build a machine learning model that respects known physical laws (e.g., conservation laws) when predicting outcomes from engineering simulation data?
      Answer question