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      Amazon

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      Ricerche correlate: Recensioni su Amazon | Offerte di lavoro di Amazon | Stipendi di Amazon | Benefit di Amazon
      Colloqui di AmazonColloqui per Data Science presso AmazonColloquio di Amazon


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      Colloquio per Data Science

      29 gen 2021
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza negativa
      Colloquio facile

      Candidatura

      Ho sostenuto un colloquio presso Amazon

      Colloquio

      I believe everyone knows about the interview process at Amazon. It is long, tiring, boring and simply a waste of time. I am proud to withdrew my application after the first round. Details are given below. I hope this will help someone. In my personal opinion, asking a candidate to code during the interview is useless because in the real scenario no one codes in that limited time. Secondly, if you want to test the coding skills then give a take home test or ask for something like a GitHub account. I fail to understand that the so called ‘Geniuses’ sitting in Amazon overlooking this process simply don’t get it that anyone can code...what really matters is the logic behind that code...so ideally they should be testing the candidates on that. In my case I refused to code during the interview. Unfortunately the interviewer was so inexperienced that he had no clue what other questions to ask. It was both frustrating and funny. The interviewer went silent for few minutes and then abruptly ended the call. This happened not once but almost 4-5 times with me. I did write my concerns to the HR who came back and told me that they cannot change the process so I humbly told her that I am not interested in Amazon. For me it is a waste of time and energy. Advise to the Amazon team - 1. Kindly treat the interviewers as equals. You do not own their career. It is always your loss. Amazon is not the only company with jobs in the world 2. Good companies do not take more than 2 to 3 rounds. If you need more rounds then your team is clearly inexperienced to judge candidates quickly 3. Train the interviewers to ask smart questions and not the text book questions 4. Coding is not the real skill...logic is. Anyone can copy paste a code if they understand the logic behind the problem 5. You have a 6 months cooling period. Your interview process is 6 months long so it is precisely 1 year

      Domande di colloquio [1]

      Domanda 1

      Can you write a code for xyz?
      Rispondi alla domanda
      6

      Altre recensioni di colloqui per Data Science presso Amazon

      Colloquio per Data Scientist

      1 giu 2026
      Candidato anonimo a colloquio
      Seattle, WA
      Nessuna offerta
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho sostenuto un colloquio presso Amazon (Seattle, WA)

      Colloquio

      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.

      Domande di colloquio [1]

      Domanda 1

      Basic ones in leetcode, checkout neetcode
      Rispondi alla domanda

      Colloquio per Data Scientist

      21 mag 2026
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza neutra
      Colloquio difficile

      Candidatura

      Ho sostenuto un colloquio presso Amazon

      Colloquio

      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.

      Domande di colloquio [1]

      Domanda 1

      Bias in regressions, how you would resolve them
      Rispondi alla domanda

      Colloquio per Data Scientist

      6 mag 2026
      Dipendente anonimo
      Offerta accettata
      Esperienza positiva
      Colloquio difficile

      Candidatura

      Ho sostenuto un colloquio presso Amazon

      Colloquio

      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.

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