I applied online. I interviewed at Amazon in Sept 2019
Interview
I didn't have to get through HR interview(s), I was directly interviewed by a tech personnel (he was the hiring manager). That was pretty good from my viewpoint and I'd give a big plus for that. He had given some details about the job, then he asked about my professional experience as a DS, and after that I got a few exam-questions. The questions were rather algorithm-oriented than statistics or data science related, but they were still simple enough for me to know the answer (see below). On the next day I've seen on the dashboard, that I'm out of the race, but haven't got any feedback (not even a mail) on what went wrong or what is missing from my skill set. Lack of feedback after a 1-to-1 interview is a big minus I think.
Interview questions [1]
Question 1
You have an array of integers and you want to find a certain elements, what effective algorithm would you use and what is the efficiency of these?
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.
Thrilled to have accepted the offer — the process was tougher than I expected. The first round was primarily technical, where I tackled an A/B testing design question that required detailed metrics and sample size calculations. Later, I faced a SQL query challenge focused on tracking customer purchases over consecutive months. Funny enough, I had spent quite some time on PracHub digging into similar case studies, which really helped me approach these problems confidently. The final round included behavioral questions, and I felt well-prepared overall.