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      Entretien pour Data Scientist

      10 mars 2021
      Candidat à l'entretien anonyme
      Toronto, ON

      Autres retours d’entretien d’embauche pour un poste comme Data Scientist chez Zynga

      Entretien pour Data Scientist

      14 mai 2021
      Candidat à l'entretien anonyme
      Toronto, ON
      Aucune offre
      Expérience négative
      Aucune offre
      Expérience positive
      Entretien moyen

      Candidature

      J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez Zynga (Toronto, ON) en févr. 2021

      Entretien

      Applied online, got an email from a recruiter to set up an interview with one of their DS Leads, phone and coderpad interview with the DS Lead. Technical questions weren't particularly difficult at the first stage, but I panicked since I hadn't worked with class building in over a year. Interviewer was very nice about it and gave me some hints to help me along since I knew how to build the functions themselves, just couldn't get the syntax for the class right.

      Questions d'entretien [4]

      Question 1

      Q: If you were working with a model for classification, how would you evaluate its performance?
      1 réponse

      Question 2

      Q: When testing different models how can you be confident that one is performing better than the other?
      1 réponse

      Question 3

      Q: Coderpad question. Create a 'stack' class and some associated functions which can run in constant time. This is a pretty common leetcode question, can be found on Google, and the constant time was emphasized as important.
      Répondre à cette question

      Question 4

      Q: There was another SQL question on Coderpad but we ran out of time. Seemed like simple aggregation and joins.
      Répondre à cette question
      Entretien moyen

      Candidature

      Le processus a pris 4 semaines. J'ai passé un entretien chez Zynga (Toronto, ON)

      Entretien

      CoderPad exercise with hiring manager simple SQL questions followed by a 5-hour onsite meeting with data scientists, leads and managers. During the onsite was also asked to whiteboard a programming problem and did another SQL test using coderpad. The only negative thing about the process is not that I didn’t get the job but the fact that no one had reached out to me to tell me they decided to move forward with other candidates. I don’t mind this when it’s usually a phone screen or even first interview but when you take a day off work to interview for 5 hours, it’s disrespectful to the candidate to not even send them an email to let them know they didn’t get the job.

      Questions d'entretien [1]

      Question 1

      Would you offer the option for players to purchase a ad-free version of words with friends for life. If yes, how would you price it.
      Répondre à cette question
      7

      Entretien pour Data Scientist

      4 nov. 2019
      Candidat à l'entretien anonyme
      Bengaluru
      Aucune offre
      Expérience négative
      Entretien moyen

      Candidature

      J'ai postulé en ligne. Le processus a pris 2 mois. J'ai passé un entretien chez Zynga (Bengaluru)

      Entretien

      There were two telephonic rounds followed by 3 face-to-face rounds. The first two rounds went well, and a variety of technical (Python/SQL/Modelling) questions were asked over Coderpad, even though there was some repetition between the two rounds. Each of these interviews were 1.5 hours long. (Also, there was a lot of rescheduling so this happened over a month's time.) The frustrating part was being interviewed by mostly the same people again in the F2F rounds, and this time for a day long process (except for the interview with the product manager). An exhaustive set of bookish questions from Stats/Modelling/Python/SQL being asked for 2 hours is not required (in my opinion) to judge someone's knowledge or skillset. The same can be achieved with a sample of questions as well. With the interviews dragging so much, a candidate is bound to lose all interest. PS: The HR was very professional and managed the process well.

      Questions d'entretien [1]

      Question 1

      Almost every possible question covering Statistical tests, logistic regression, clustering, bagging and boosting, Python, SQL.
      Répondre à cette question
      2