J'ai postulé via un recruteur. J'ai passé un entretien chez Amazon (New York, NY) en mars 2020
Entretien
About a one-hour phone interview with two data scientists together, one appeared senior. Rushed through a set of questions after LP. Some questions went deep. Spent a fair amount of time on coding regarding data maniplation.
Questions d'entretien [1]
Question 1
What is the difference between boosting and bagging?
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.
4 rounds:
ML breadth + Depth: Conceptual knowledge about ML and work experience discussion
Problem solving: Leetcode (Medium) + Basic ML concepts
Design + LP round: Use case discussion + Behavioural questions
Bar Raiser - LP round: Behavioural questions - Interviewer was non technical