J'ai postulé via un recruteur. J'ai passé un entretien chez Amazon (San Francisco, CA) en avr. 2018
Entretien
Was offered an internship interview via a recruiter. The interviewers were friendly and asked some data science questions such as how I'd solve a given data science problem using what kind of data cleansing, model building processes etc
Questions d'entretien [1]
Question 1
Was given a data science scenario and asked how I'd solve it
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
1
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