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      Data Scientist Interview

      3 Mar 2022
      Anonymous interview candidate
      No offer
      Neutral experience

      Other Data Scientist interview reviews for LifeBell AI

      Data Scientist Interview

      9 Feb 2022
      Anonymous interview candidate
      No offer
      Negative experience
      Easy interview

      Application

      Difficult interview

      Application

      I applied online. The process took 3 weeks. I interviewed at LifeBell AI in Feb 2022

      Interview

      There will be 4-5 rounds in general. The first round is a 30-45 mins round with the HR. The second round is data science-related rapid-fire questions and then a case interview relating to time series data science questions. Third round is a data challenge (take home). The fourth round is explaining your solution to a panel and the fifth round is meeting with the executives.

      Interview questions [1]

      Question 1

      General data science questions with a heavy focus on time series.
      Answer question

      I interviewed at LifeBell AI

      Interview

      Typical HR interview to start off with. Then an hour long technical interview. The technical interview was rather strange, lots of writing down easily google-able formulas and less about actually understanding and talking about actual ML concepts. It was more like a rapid fire questionnaire of ML than any assessment of real comprehension/ability.

      Interview questions [1]

      Question 1

      write down formulas for various ML models.
      Answer question
      1

      Data Scientist Interview

      17 Jan 2021
      Anonymous interview candidate
      New York, NY
      No offer
      Positive experience
      Average interview

      Application

      I applied online. I interviewed at LifeBell AI (New York, NY) in Dec 2020

      Interview

      The first round of the interview was given by HR, I was asked to describe and explain the work experience with less technical terms. The second round was with a current data scientist: I was given several cases and asked to give solutions to those.

      Interview questions [1]

      Question 1

      Describe how you would use random forest on a large datasets (with around 10 features)?
      Answer question
      2