Data Scientist applicants have rated the interview process at Amazon with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 46% positive. To compare, the company-average is 57.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 28 days to get hired, when considering 190 user submitted interviews for this role. To compare, the hiring process at Amazon overall takes an average of 28 days.
Common stages of the interview process at Amazon as a Data Scientist according to 190 Glassdoor interviews include:
Phone interview: 30%
One on one interview: 20%
Presentation: 14%
Skills test: 12%
Group panel interview: 6%
IQ intelligence test: 6%
Background check: 5%
Drug test: 3%
Personality test: 3%
Other: 2%
Here are the most commonly searched roles for interview reports -
I applied through a recruiter. I interviewed at Amazon (Seattle, WA) in Sep 2025
Interview
My interview was for forecasting data scientist position. They talked about a project in detail and wanted to understand my thinking completely.
Within that they ask me about why apply specific model. It was more on the resume side.
Interview questions [1]
Question 1
Difference between extra tree regressor and random forest
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