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      Data Science University Graduate Interview

      9 Jul 2018
      Anonymous interview candidate
      No offer
      Neutral experience

      Application

      I applied online. The process took 3 months. I interviewed at Google in Jun 2018

      Interview

      I applied online and heard back from a recruiter couple days later. After filling out a detailed situational based and technical/past project related questions form, I had a short chat with the recruiter to arrange live coding/hangout interview. Interviewer was on time, introduced himself shortly, however, he was distanced, curt in responses, and not very friendly, and felt like he was looking down upon me for no real reason. Questions were unexpected. I got questions about linear programming, np hard problem example, how to write objective function and constraints, and a brain teaser. Each time I tried to ask questions to clarify and understand what kind of assumptions I can make or brain storm about my only “ace chance” of brain teaser, he was kind of rude and interrupted me. I totally expected “applied statistics” questions etc. and worked really hard on “data science questions” instead i get OR questions I am not sure why. Maybe there is a statistics aspect that I have never been aware of. I have a background in OR undergrad like 9 years ago completed, but hardly remember anything, and my grad degree is hardly related to OR. There was no coding question, or anything related to data intuition, analysis etc. I was already nervous as it was first interview after grad school, and I did not really expect these. I was stomped and messed the whole interview after not remembering certain definitions etc. and at the very end, i had what is svm question, which i couldn’t reply further than classification algorithm and supervised learning,as i couldnt manage to be more resilient after having a horrible 40 minutes. Overall, a very hard,demoralizing interview.

      Interview questions [3]

      Question 1

      What is NP hard problem and give me an example?
      Answer question

      Question 2

      In integer programming, how do you write a constraint for batches?
      Answer question

      Question 3

      How do you optimize the number of staff necessary for a job via simulation?
      Answer question
      1

      Other Data Science University Graduate interview reviews for Google

      Data Scientist, University Graduate Interview

      10 Mar 2019
      Anonymous interview candidate
      Mountain View, CA
      No offer
      Positive experience
      Difficult interview

      Application

      I applied online. The process took 3 months. I interviewed at Google (Mountain View, CA) in Jan 2019

      Interview

      I applied online. A campus recruiter contacted me after about 2 weeks to schedule a brief talk and introduce the interview timeline. Due to the Christmas holiday, we scheduled the talk on the day before New Year's Day, which is about 3 weeks later from the first time receiving recruiter's email. The recruit did not show up, and contacted me two days later to reschedule. He basically introduced the timeline and carefully answered my questions. He also shared many materials for the interview. Then we schedule a video technical interview about 3 weeks later with a Senior Statistician at Google. Both the interviewer and the recruiter are very nice and helpful. One week after the technical interview, I was told not being selected by the recruiter through phone call.

      Interview questions [1]

      Question 1

      Self-Introduction. Some basic but not trivial statistics concepts. How to compare two distributions. Simple data manipulation questions with R. Case study about Google advertisement and follow-up survey.
      Answer question

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