Interviewed with a senior analytics manager for a data scientist role at Amazon. Interview was a 1 hour phone interview with a 15 minute SQL test to do on the spot. Interview questions were typical questions about CV and competency based questions according to their leadership principles which went really well and the interviewer kept repeating 'excellent' but the 15 min SQL test didn't go well- despite straightforward questions, I've never understood the point in testing coding skills in a time limit. Received an automated email a couple hours later that I was not successful in moving to the final round and that it was against their policy to provide feedback.
I guess its true what they say about Amazon- 0 consideration for applicants or employees. You spend an hour of your time interviewing and do a coding test to not receive any feedback.- v disappointing.
I applied through an employee referral. I interviewed at Amazon
Interview
Have 1 round tech phone interview and 1 onsite. Unfortunately got down graded for 1 level for still got a pass for the final interview. Now is looking for the team match and hope everything goes well.
I applied through an employee referral. I interviewed at Amazon (Seattle, WA) in Sep 2020
Interview
It was the phone interview. The interviewer was changed and he was not in the group that I was considered for. I believe he did not know I was being evaluated for an entry level position (L4) in Amazon. He asked only technical questions. He asked about algorithm, computing time and complexity of a python code. He asked the theory behind L1 and L2 regression, and many tough questions that I assume are both irrelevant to data science and too technically complicated to be understood in college data related courses.
I think they should be more keen to the people who interview to understand what position its being considered for and what should be a typical question to be asked for it.
Interview questions [1]
Question 1
- Why we have L1 and L2 regression regularizations but no L0.5 or L4?
- Right a python code for recognizing if entries to a list have same characters or not. Then what is the computation complexity of it?
- Right a complicated SQL code, turned out later that it actually was only solvable with a postgreSQL code while it was not in the job description.
- What is over fitting.
- what to do with unbalanced data.