J'ai postulé via la recommandation d'un employé. Le processus a pris 4 semaines. J'ai passé un entretien chez Amazon (Londres, Angleterre) en juill. 2024
Entretien
I applied with a referral. I had a phone interview followed by a loop interview. The loop interview consisted of five rounds. The recruiter scheduled a call to give me more information about the loop after I passed the phone screen. The entire process took about a month.
Questions d'entretien [1]
Question 1
Phone screen: Easy leetcode + LP
Loop:
1) Science depth: Domain related questions
2) Science breadth: Typical Data Science interview questions (probability, stats, hypothesis testing) + some domain related questions
3) Problem solving: Open ended. You're given a problem and you describe an approach to solve it.
4) Coding: Pandas data wrangling + another Leetcode style question
5) Bar raiser: Entirely behavioral (LP)
In addition to the bar raiser round, each round also had about 2 LP questions.
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.
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.
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.