Data Scientist applicants have rated the interview process at Amazon with 3.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 25% positive. To compare, the company-average is 57.8% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 7 days to get hired, when considering 4 user submitted interviews for this role. To compare, the hiring process at Amazon overall takes an average of 31 days.
Common stages of the interview process at Amazon as a Data Scientist according to 4 Glassdoor interviews include:
Phone interview: 33%
Other: 33%
Personality test: 33%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 3 weeks. I interviewed at Amazon (Seattle, WA) in Jun 2016
Interview
3 different interviews:
1st interview (Monday) : technical interview of coding on a shared screen
Heard Back that i passed on Tuesday
2nd interview (Friday) : technical interview over the phone addressing my ML skills
Heard Back that I passed on Monday
3rd Interview (two weeks later): 5 rounds-1 BR, 2 analysis, 1 SQL, and 1 coding
Interview questions [1]
Question 1
technical coding: navigating a binary tree
phone interview: business 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.
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