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      Entretien pour Quantitative Analyst

      15 juin 2015
      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

      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
      Aucune offre
      Expérience positive
      Entretien difficile

      Candidature

      J'ai postulé en ligne. Le processus a pris 4 semaines. J'ai passé un entretien chez Google (Mountain View, CA)

      Entretien

      I applied online. The same day a recruiter reached out asking to answer a few technical questions via email. A day after I had replied, I was told I was moving forward to a phone screening. This was a mix of SQL coding and probability questions. I don't think I did great, but good enough to be moved forward to a second phone screening. This one was much more heavily geared towards machine learning. Essentially I was presented with a scenario (a typical "a software engineer hands you over a dataset") and we spent most of the interview brainstorming about how to go about analyzing and eventually building a ML model out of the data. A couple of days later I was told I was invited to Google Headquarters. They had a specialist help me with travel arrangements. All very simple and smooth, even when I asked to make changes to my original plan. One thing you have got to make sure you pay attention to is that commute is horrible and you need plenty time to get from the hotel to Google. Even 10 miles can take 40 minutes. The onsite interview was very intense. These are 45 minutes back to back interviews, 100% technical with no frills such as intros, what his job is, do you have any questions. They covered pretty much everything from basic probability, to machine learning, to coding (I chose Python), to sampling, A/B testing, time series, SQL,... Most folks were nice, I only got one person who gave me the impression he hated to be in that room spending time interviewing. This wasn't as hard as I thought it would be, yet the breadth of the knowledge makes it very difficult to prepare well. Some of these questions seem to be geared more towards newly grads. I got a couple of questions I would have nailed after I left college 10 years ago, but have not touched in a business setting for years. So, long story short, have your basics covered. The only thing I can complain of is the lack of time to ask questions. I literally had two people asking if I had questions while they were packing their stuff and leaving the room... One thing I was super impressed with was my HR person. Super friendly and helpful throughout.

      Questions d'entretien [1]

      Question 1

      You observe a sample of measurements coming from a fixed length ruler. If the object is shorter than the ruler you observe the actual measurement. Otherwise you observe the length of the ruler. What would be a good estimator of the ruler length?
      15 réponse(s)
      27

      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

      Entretien pour Quantitative Analyst

      10 mars 2021
      Candidat à l'entretien anonyme
      San Francisco, CA
      Aucune offre
      Expérience négative
      Entretien moyen

      Candidature

      J'ai postulé via la recommandation d'un employé. Le processus a pris 3 semaines. J'ai passé un entretien chez Google (San Francisco, CA) en déc. 2020

      Entretien

      5 interviews, 1 call with a recruiter, followed by technical interview then three on-site (now hangouts). The call went well. The interviewer was about 10 minutes late and so he didn't even do introductions and stuff. He jumped straight to questions. Fortunately, the 4 questions were not very hard so I finish just in time.

      Questions d'entretien [1]

      Question 1

      Basic to intermediate SQL questions on windows functions and nested queries
      Répondre à cette question