Data Science Intern 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 75% positive. To compare, the company-average is 57.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science Intern roles take an average of 29 days to get hired, when considering 36 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 Science Intern according to 36 Glassdoor interviews include:
One on one interview: 22%
Skills test: 22%
Phone interview: 14%
Personality test: 12%
Presentation: 12%
Background check: 6%
Group panel interview: 4%
IQ intelligence test: 4%
Drug test: 2%
Other: 2%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 3 weeks. I interviewed at Amazon in Mar 2025
Interview
Interviewer introduced herself, then asked me to introduce myself. DS Qs asked: 1. Diff bw classification and regression models? 2. Given a dataset with some features in it, we want to know why some of the robots in our warehouse are being disabled, is that a classification or regression problem? How would you approach this problem? How to handle missing data? How to deal with high dimensionality issue?
Interview questions [1]
Question 1
1. Diff bw classification and regression models? 2. Given a dataset with some features in it, we want to know why some of the robots in our warehouse are being disabled, is that a classification or regression problem? How would you approach this problem? How to handle missing data? How to deal with high dimensionality issue?
There were two back-to-back rounds: one hour of behavioral questions focused on leadership principles, 30 minutes on statistics and machine learning, one SQL histogram question, and one Python question for 30 minutes.
I had 2 rounds of interview. One was behavioural based on leadership principles + coding round based on DSA and the second round was technical focussing on Data science and ML fundamentals.
Interview questions [1]
Question 1
Explain the end - to - end data processing pipeline.
I applied through an employee referral. The process took 4 weeks. I interviewed at Amazon (Seattle, WA)
Interview
1) Recruiter call
2) 2 rounds of each 1 hour technical questions + Behavior questions
1) Technical: Coding with SQL, and Pandas
2) Behaviour: Amazon Principal
3) Confusion matrix -- very detailed, you need to know what you saying
Interview questions [1]
Question 1
1) Technical: Coding with SQL, and Pandas
2) Behaviour: Amazon Principal
3) Confusion matrix -- very detailed, you need to know what you saying