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      Búsquedas relacionadas: Evaluaciones de Amazon | Empleos en Amazon | Sueldos en Amazon | Prestaciones en Amazon
      Entrevistas en AmazonEntrevistas para el cargo de Data Scientist en AmazonEntrevista en Amazon


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      Entrevista para Data Scientist

      26 de dic de 2020
      Empleado anónimo
      Seattle, WA
      Oferta aceptada
      Experiencia positiva
      Entrevista promedio

      Solicitud

      Me postulé a través de una recomendación de un empleado. Acudí a una entrevista en Amazon (Seattle, WA) en sept 2020

      Entrevista

      Hey, guys writing this out coz I’ve used glassdoor so much to get a sense of what to prep. Thanks for the posts and here’s to paying it forward :) Applied with Referral, the first time I did not get picked up, applied again with another colleague, and got a call the next day! The recruiter reached out and asked me a time for a phone screen I took a date 2 weeks out. Had two phone interviews, and 5 onsite interviews later. All interviews had a common theme - a mix of technical and LP questions. Some interviews were more towards LPs and others were more towards technical. Regarding LPs, I’d say prepare solid stories, write them down, and even practice them with your friends. Make the stories diverse, talk about stories from different company experiences, do not repeat stories from one particular company, it’ll undermine your years of experience. I did that and was given L4 even though I applied for L5. Regarding Technical questions, questions were regarding: Machine Learning -- ML system design(given a business problem, design the architecture from start to end output), Explain inner workings of Tree-based methods and Random Forest in detail, Regularization general idea why and when to use, L1 vs L2, explaining PCA in details with multiple use based cross-questions, code up gradient descent in python, among other questions. Stats: A/B testing, hypothesis testing, end-to-end A/B test design for a business problem, a bunch of random stats questions, time-series overview of ARIMA, and applying to the business case above, among other questions... All cross-questions were such that they pushed me towards going into more and more detail of the topics, they want to understand they I knew things properly.

      Preguntas de entrevista [1]

      Pregunta 1

      Wrote high-level question areas above.
      Responder pregunta
      27

      Otras evaluaciones sobre las entrevistas para el cargo de Data Scientist en Amazon

      Entrevista para Data Scientist

      1 de jun de 2026
      Candidato de entrevista anónimo
      Seattle, WA
      Sin ofertas
      Experiencia positiva
      Entrevista promedio

      Solicitud

      Acudí a una entrevista en Amazon (Seattle, WA)

      Entrevista

      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.

      Preguntas de entrevista [1]

      Pregunta 1

      Basic ones in leetcode, checkout neetcode
      Responder pregunta

      Entrevista para Data Scientist

      21 de may de 2026
      Candidato de entrevista anónimo
      Sin ofertas
      Experiencia neutra
      Entrevista difícil

      Solicitud

      Acudí a una entrevista en Amazon

      Entrevista

      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.

      Preguntas de entrevista [1]

      Pregunta 1

      Bias in regressions, how you would resolve them
      Responder pregunta

      Entrevista para Data Scientist

      6 de may de 2026
      Empleado anónimo
      Oferta aceptada
      Experiencia positiva
      Entrevista difícil

      Solicitud

      Acudí a una entrevista en Amazon

      Entrevista

      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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