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.
I applied through a recruiter. I interviewed at Amazon (San Francisco, CA) in Apr 2018
Interview
Was offered an internship interview via a recruiter. The interviewers were friendly and asked some data science questions such as how I'd solve a given data science problem using what kind of data cleansing, model building processes etc
Interview questions [1]
Question 1
Was given a data science scenario and asked how I'd solve it