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      Entretien pour Data Scientist

      2 nov. 2017
      Candidat à l'entretien anonyme
      Hyderâbâd
      Aucune offre
      Expérience négative
      Entretien facile

      Candidature

      J'ai postulé en personne. Le processus a pris 2 semaines. J'ai passé un entretien chez Amazon (Hyderâbâd) en oct. 2017

      Entretien

      Pre screening + five interviews on the day Pre screening : very easy .. project u have done, phone screen session.. very basic sql problem.. I have done it in python.. very much impressed and called for in house interview Firstinhouse round : problem solving.. very young. But arrogant .. easy round.. interviewer moved from one question to another at random with out any clarity.. most times he contradicting with what he himself has said.. Second round: repeat of the phone screening with the same guy.. Third round : the best probably..interviewers were decent and had clarity on what they require.. rigourous testing on Data preprocessing... Pythons.. executed well... sql.. executed well for some limit d cases.. R did not even try.. What the interviewer expected as R+SQL ..what I deleivered is Python + limited SQL.. Fourth.. : again an arrogant guy walks in with t shirt and shorts.. may be straight out of the bed,,.. I guess he must be using the same dress for at least 2 years.. it was such faded...out.... interviewer was very disinterested.. asked the same question again like the first few guys,.. Result was negative for me. The feedback was they expect string sql guy.. and avg on problem solving.. Some imp points..: 1. Q city office was like fish market,, even if I would convert,, I would not have worked there it was such place.. much worse than tcs, Wipro,.. this office is more like for the supply chain call centre guys.. 2. Jayabheri office is very gud.. fourth round happened here .. 3. Most important.. selling business intelligence roles as data scientist.. .. even if I would have converted the offer,, I would not have stayed longer here., I would only use it to increase my pay check for subsequent ventures 4. Arrogant people everywhere.. I guess because of the money they make.. 5. Food was like roadside canteen.. at q city office .. I expect it to be much better in jayabheri office. 6. The only point in having multiple interviews is to check whether u fake or not.. it has nothing to do with quality of interview.. in short,. The level of difficulty is the same for all interviews..

      Questions d'entretien [1]

      Question 1

      Sql basics
      1 réponse
      1

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

      Entretien pour Data Scientist

      1 juin 2026
      Candidat à l'entretien anonyme
      Seattle, WA
      Aucune offre
      Expérience positive
      Entretien moyen

      Candidature

      J'ai passé un entretien chez Amazon (Seattle, WA)

      Entretien

      There are three rounds in total. The process begins with a coding round, followed by the main interview loop, where you will meet the team and discuss technical skills, experience, and fit.

      Questions d'entretien [1]

      Question 1

      Basic ones in leetcode, checkout neetcode
      Répondre à cette question

      Entretien pour Data Scientist

      21 mai 2026
      Candidat à l'entretien anonyme
      Aucune offre
      Expérience neutre
      Entretien difficile

      Candidature

      J'ai passé un entretien chez Amazon

      Entretien

      First round is fun, second round, which is also the final round involved 5 sessions, with different focus. For some sessions, not be able to present my story completely, time was tight, and interviewers were rushing.

      Questions d'entretien [1]

      Question 1

      Bias in regressions, how you would resolve them
      Répondre à cette question

      Entretien pour Data Scientist

      6 mai 2026
      Employé (anonyme)
      Offre acceptée
      Expérience positive
      Entretien difficile

      Candidature

      J'ai passé un entretien chez Amazon

      Entretien

      Thrilled to have accepted the offer — the process was tougher than I expected. The first round was primarily technical, where I tackled an A/B testing design question that required detailed metrics and sample size calculations. Later, I faced a SQL query challenge focused on tracking customer purchases over consecutive months. Funny enough, I had spent quite some time on PracHub digging into similar case studies, which really helped me approach these problems confidently. The final round included behavioral questions, and I felt well-prepared overall.