I applied online. The process took 2 months. I interviewed at Amazon (Sydney) in Nov 2019
Interview
I applied online for a Data Scientist position at AWS in Sydney. The first phone interview was with a Senior Research Scientist from Tucson, Arizona and my second phone interview which was more technical was with a Senior Data Scientist from Seattle, Washington. Each took one hour. They asked many questions ranging from behavioral questions (STAR) to programming, statistic, SQL and data science/ ML questions. I passed both phone interviews and was informed to wait for the on-site interview to be scheduled in Sydney. After almost 10 days, I received an email, out of the blue, from an Intern at AWS Sydney, saying I must accomplish an assessment task for an Applied Scientist position as they’ve liked my CV! I sent an email for clarification, and it was only then that a real recruiter replied to me explaining that the first position is not available anymore and if I want to continue, I have to start again by doing the first step for the other position which was a technical machine learning assessment. They could not simply inform me before telling their Intern to send me that email! I did the test although I was certain I will receive a rejection (it was obvious they do not have any vacant position). I received the rejection email only few days after I emailed them my response.
The whole process which took 2 months was just waiting my time.
Interview questions [1]
Question 1
Describe different JOINs in SQL.
Having a categorical variable with thousands distinct values, how would you encode it?
How to find linear trends in time series.
How to find the flow in a matrix showing temperature.
...
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.
4 rounds:
ML breadth + Depth: Conceptual knowledge about ML and work experience discussion
Problem solving: Leetcode (Medium) + Basic ML concepts
Design + LP round: Use case discussion + Behavioural questions
Bar Raiser - LP round: Behavioural questions - Interviewer was non technical
1
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