J'ai postulé en ligne. Le processus a pris 6 semaines. J'ai passé un entretien chez Amazon (Londres, Angleterre) en janv. 2021
Entretien
Like the technical screens for other FAANGs, Amazon's Data Scientist role technical screening will last 45-60 minutes. It will assess your behavioral fit and technical competency by focusing on concepts of statistics, machine learning, SQL, and coding problems. These may vary slightly from one data role to another, between teams, and from one candidate to another too. For the technical screen, you can expect two coding questions, one SQL question, one machine learning concept question, and an algorithm coding type question.
To do well in the technical screen round (some candidates may have more than one technical screen before an onsite), practice the following concepts:
Python Algorithm CodingML Questions/Case Problems
Questions d'entretien [1]
Question 1
Given a users table, write a query to get the cumulative number of new users added by the day, with the total reset every month.
2. We have two tables. Table A has one million records with fields ID and AGE. Table B has 100 records with two fields, ID and SALARY. In Table B, the mean salary is 50k, and the median salary is 100k
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