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      Entretien pour Quantitative Analyst

      9 août 2010
      Candidat à l'entretien anonyme
      Mountain View, CA

      Autres retours d’entretien d’embauche pour un poste comme Quantitative Analyst chez Google

      Entretien pour Quantitative Analyst

      5 juin 2026
      Candidat à l'entretien anonyme
      Offre refusée
      Expérience négative
      Entretien moyen

      Candidature

      J'ai passé un entretien chez Google

      Aucune offre
      Expérience négative
      Entretien facile

      Candidature

      J'ai postulé en ligne. Le processus a pris 3 jours. J'ai passé un entretien chez Google (Mountain View, CA) en juin 2010

      Entretien

      Interviewed with recruiter online first, then group member, then on-site interview. Associates in the group were very friendly and the recruiter did an excellent job of keeping me updated on the process. My first two phone interviews went very well, and I let my recruiter know of a couple of days and times that would be convenient for me to interview on-site. She jumped at the opportunity and I had my on-site interview, which also went very well. Several of my interviewers said as much, and my recruiter told me that they liked me "a lot." However, I learned after the interview that the team was not sure if they were actually going to fill the position and that the position had been put "on hold." She very kindly kept in touch with me in the ensuing weeks until, ultimately, the department decided not to fill the position at all. I felt dismayed that Google took me in for an on-site interview for a position that had not yet been approved. Since I am already employed, I was taking a day off from work (and thus a day away from my bank for interviews- I waited two weeks to interview with another company that could have met with me on that day in order to put Google on my schedule). I felt that this was very inconsiderate. Perhaps if I had been a more inspiring candidate the story would have been different, but since this was a relatively entry level position and I am sure there were many very qualified applicants, I take what they said about deciding to leave the spot empty at face value.

      Questions d'entretien [1]

      Question 1

      No particularly difficult questions.
      Répondre à cette question
      1

      Entretien

      - Asked foundational questions about key definitions and terminology to assess baseline understanding of core concepts - Completed a timed online coding assessment covering practical programming challenges and problem-solving ability

      Questions d'entretien [1]

      Question 1

      - Where would you see yourself in 5 decades.
      Répondre à cette question

      Entretien pour Quantitative Analyst

      28 sept. 2022
      Candidat à l'entretien anonyme
      Aucune offre
      Expérience négative
      Entretien moyen

      Candidature

      J'ai passé un entretien chez Google

      Entretien

      30 minute phone screen with HR, followed by an interview with the hiring manager. HR would not even provide a salary range for the role, which was very weird. The HR rep was not familiar with the role and seemed to be reading from the JD when I asked questions about it.

      Questions d'entretien [1]

      Question 1

      Basic questions about SQL, Python
      Répondre à cette question
      1

      Entretien pour Quantitative Analyst

      16 janv. 2022
      Candidat à l'entretien anonyme
      Seattle, WA
      Aucune offre
      Expérience positive
      Entretien difficile

      Candidature

      J'ai postulé via la recommandation d'un employé. Le processus a pris 2 mois. J'ai passé un entretien chez Google (Seattle, WA) en août 2021

      Entretien

      Recruiter screen > tech screen > 5 tech sessions at remote "onsite" Tech screen: all statistics written in easy python On-site: python for SQL-style queries, one session focused on stats/probability, majority of sessions had some probability in it, some question were extremely open ended, hierarchical statistical models, optimization and creating penalty functions, bootstrapping, small sample statistics

      Questions d'entretien [1]

      Question 1

      you are given a discrete probability distribution of children, what is the probability a random women you meet on the street has a sister? Two variables x1 and x2. They are correlated but aren't the same. X3 = X1-X2 and X4 = X1+X2. What are the coefficients for x1 and x2 if you train logit for x3 and x4 1000 ad videos, 1000 human raters Assess the quality of videos, 100 randomly selected videos to each rater, Rate video between 1 (bad) and 10 (good) quality. How would you rate these? What are the pros and cons of your strategy? clustered statistical modeling question about how you would set data up for this model and what model you would use.
      Répondre à cette question
      2