Machine Learning Data Scientist applicants have rated the interview process at Amazon with 3.5 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 57.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Data Scientist roles take an average of 21 days to get hired, when considering 2 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 Machine Learning Data Scientist according to 2 Glassdoor interviews include:
Phone interview: 100%
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 Mar 2017
Interview
a 45 minutes technique interview, interviewer is very friendly and resourceful. Most about the experience listed on resume, and some questions relatively but more deeper. About the dataset, how if the dataset has too many features, how if it has too many data points. Which sampling methods you are using.
Interview questions [1]
Question 1
what is the recenly project you have finished, which machine learning methods and approach you are using to achieve the goal
I applied online. I interviewed at Amazon (San Diego, CA) in Oct 2013
Interview
This is the first phone screen. The interviewer asked me some basic concept about data structure and some simple statistical questions
Interview questions [1]
Question 1
The three data structure questions are: 1. the difference between linked list and array; 2. the difference between stack and queue; 3. describe hash table.