J'ai postulé via un établissement d'enseignement supérieur ou universitaire. Le processus a pris 4 semaines. J'ai passé un entretien chez Amazon en juill. 2025
Entretien
The question involved a common advertising-related machine learning binary classification problem. I answered it using the template from Alex Xu's book, with a lot of follow-up. Recalling various technical details about BERT and Transformer, how to handle unstructured data like text, and how to process imbalanced data, I was asked in depth about each question. The interviewer didn't cover many common machine learning basics, focusing on walking through case studies with the interviewer.
Questions d'entretien [1]
Question 1
The question involved a common advertising-related machine learning binary classification problem. I answered it using the template from Alex Xu's book, with a lot of follow-up. Recalling various technical details about BERT and Transformer, how to handle unstructured data like text, and how to process imbalanced data, I was asked in depth about each question. The interviewer didn't cover many common machine learning basics, focusing on walking through case studies with the interviewer.
It was a fairly standard interview with typical principal-level questions. Prepare well by studying their website in advance, as many questions are based on it. If you face any issues, reviewing prior candidate experiences can provide useful insights and guidance.
J'ai passé un entretien chez Amazon (Culver City, CA)
Entretien
Interview felt rushed, they didn't answer any of my questions and I didn't feel like they took me seriously as a candidate. Recruiter didn't do a pre screening with me either.
J'ai postulé en ligne. J'ai passé un entretien chez Amazon (Le Caire, ) en avr. 2026
Entretien
The interview process consisted of multiple stages. It began with an online assessment focused on soft skills, workplace scenarios, and decision-making abilities. This was followed by a technical interview that covered data analysis concepts, SQL questions, and knowledge of AWS services. The discussion also included questions about previous experience, problem-solving approaches, and working with data in practical business scenarios.
Questions d'entretien [1]
Question 1
Explain a data analysis project you worked on, including the business problem, the tools you used, and how your solution created value