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      Ricerche correlate: Recensioni su Google | Offerte di lavoro di Google | Stipendi di Google | Benefit di Google
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      Colloquio per Quantitative Analyst

      13 lug 2011
      Candidato anonimo a colloquio
      Mountain View, CA
      Nessuna offerta
      Esperienza neutra
      Colloquio nella media

      Candidatura

      Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto 2 settimane. Ho sostenuto un colloquio presso Google (Mountain View, CA) nel mese di mag 2011

      Colloquio

      Google works with experienced and friendly recruiters. I'm glad that the interview process didn't really take so long and the recruiters tried to help from the beginning to the end of this process. First of all, the recruiter found my resume on their database as a good match with the position and contacted with me over the phone. In this conversation, she asked me a couple of questions about my background and tried to understand if i am really a good fit for this position. As this interview was successful, she arranged a phone interview with the hiring manager. The hiring manager's questions were a mix of technical and practical knowledge. After the technical SQL question, he asked me a practical case question about using statistical modeling for decision making, and we brainstormed different scenarios based on my responses. Finally, they invited me to have a face-to-face interview in their headquarters. The travel company they work with was rude to me when i tried to reserve the flight ticket and the hotel. Hotel was a local hotel around that area, but I would expect from Google to provide the interviewers a better hotel to stay, because i could only sleep only for about 2 hours at this hotel before the interview and I felt very tired throughout the interview day. Before the interview, I left the hotel earlier than I should, but thanks to the traffic I arrived 5-10 minutes late, even though I used a GPS. I would recommend the other interviewers to request a limo, or leave the hotel at least 30 minutes earlier than they should. I met with the recruiter in the beginning, and she gave me some preliminary information about the overall interview and she tried to give me some tips. She told me that i should keep my questions to the manager in the last meeting. Afterwards, I had three meetings with two managers and one senior engineer. First interview was a behavioral interview, and the manager asked a few questions about how i would handle situations by giving examples from my prior experiences. He asked me if i have any questions to him, but because of the little miscommunication between me and the recruiter, I told him that i don't have any questions. By the way, the behavioral meeting seemed to be the most important meeting in the whole process. The second meeting was a technical meeting with the engineer, and he asked me questions to learn more about my database and programming skills. This meeting was the easiest and probably the least important one. The last interview was a business interview and the manager asked questions to learn more about my problem solving skills by asking how would i solve problems based on different scenarios. This was my favorite meeting overall and it was really fun. After these meetings, I had a lunch with the recruiter and she showed me the Google campus and the facilities. Most importantly, i really liked to see Google workers were very happy and proud to work for Google. It was an exciting experience for me. After leaving the Google campus, I drove around the city to get a better sense of the location, and went to the airport. I had a very long sleep after this tiring experience. I woke up with the call from the recruiter and she told me that the result was negative.

      Domande di colloquio [1]

      Domanda 1

      Would you prefer to have new products through innovation or focus on your current main products? Please provide me some examples from your prior experiences to answer this question.
      2 risposte
      12

      Altre recensioni di colloqui per Quantitative Analyst presso Google

      Colloquio per Quantitative Analyst

      5 giu 2026
      Candidato anonimo a colloquio
      Offerta rifiutata
      Esperienza negativa
      Colloquio nella media

      Candidatura

      Ho sostenuto un colloquio presso Google

      Colloquio

      - 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

      Domande di colloquio [1]

      Domanda 1

      - Where would you see yourself in 5 decades.
      Rispondi alla domanda

      Colloquio per Quantitative Analyst

      28 set 2022
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza negativa
      Colloquio nella media

      Candidatura

      Ho sostenuto un colloquio presso Google

      Colloquio

      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.

      Domande di colloquio [1]

      Domanda 1

      Basic questions about SQL, Python
      Rispondi alla domanda
      1

      Colloquio per Quantitative Analyst

      16 gen 2022
      Candidato anonimo a colloquio
      Seattle, WA
      Nessuna offerta
      Esperienza positiva
      Colloquio difficile

      Candidatura

      Ho presentato la mia candidatura tramite segnalazione di un dipendente. La procedura ha richiesto 2 mesi. Ho sostenuto un colloquio presso Google (Seattle, WA) nel mese di ago 2021

      Colloquio

      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

      Domande di colloquio [1]

      Domanda 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.
      Rispondi alla domanda
      2

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