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      Liberty Lending

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      Data Scientist Interview

      Mar 17, 2021
      Anonymous Interview Candidate
      New York, NY
      No offer
      Negative experience
      Average interview

      Application

      I applied online. I interviewed at Liberty Lending (New York, NY) in Mar 2021

      Interview

      1st round, HR screening, the guy changed the time 2 mins later after what was scheduled. Rescheduled the interview later and didn't seem professional at all during the meeting that no preparation before and still working on something else. Asked some questions from this books and no offers for asking him a question and ended it. 2nd round: talk to VP, technical questions and said to have next round(a take home assign) 3rd round: waited for two weeks until got reached out by that HR, it's a take-home assign, asked many complex questions but only limited to 3 days to do, (I have full-time work to do and I think the time is too short for that many questions), sent to HR and got rejected without any reason which I felt like a waste of time.

      Interview questions [1]

      Question 1

      pls see more details above
      Answer question

      Other Data Scientist Interview Reviews for Liberty Lending

      Data Scientist Interview

      Nov 29, 2018
      Anonymous employee
      New York, NY
      Accepted offer
      Positive experience
      Difficult interview

      Application

      I applied through a recruiter. The process took 1+ week. I interviewed at Liberty Lending (New York, NY) in Oct 2018

      Interview

      Initial phone interview with HR, then phone interview with hiring leader, then onsite interview with potential colleagues, hiring manager, and HR. All interviewers are nice in helping interviewees succeed in the process. Culture fit and grit is important. Good communication is important. 30min, 40min, and 3+hrs respectively

      Interview questions [4]

      Question 1

      Python question, largely about pandas, numpy, and writing functions.
      Answer question

      Question 2

      Past experiences and application with data wrangling, feature engineering, PCA, neural networks, modeling algos, NLP, naive bayes, etc.
      Answer question

      Question 3

      Past lending experiences, including UW, default models.
      Answer question

      Question 4

      Typical soft skill questions. Maybe some math, stat, probability questions.
      1 Answer
      2

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