You usually have 2 rounds. One techninal and another programming one. In the technical one they ususally go in depth and ask question on all Machine learning and datascience concepts so one should prepare those thoroughly. The SQl questions were moderate to easy.
Interview questions [1]
Question 1
When you have a small dataset and are doing a multiclass classification is Linear SVM a good choice for it?
There were two back-to-back rounds: one hour of behavioral questions focused on leadership principles, 30 minutes on statistics and machine learning, one SQL histogram question, and one Python question for 30 minutes.
I had 2 rounds of interview. One was behavioural based on leadership principles + coding round based on DSA and the second round was technical focussing on Data science and ML fundamentals.
Interview questions [1]
Question 1
Explain the end - to - end data processing pipeline.
I applied through an employee referral. The process took 4 weeks. I interviewed at Amazon (Seattle, WA)
Interview
1) Recruiter call
2) 2 rounds of each 1 hour technical questions + Behavior questions
1) Technical: Coding with SQL, and Pandas
2) Behaviour: Amazon Principal
3) Confusion matrix -- very detailed, you need to know what you saying
Interview questions [1]
Question 1
1) Technical: Coding with SQL, and Pandas
2) Behaviour: Amazon Principal
3) Confusion matrix -- very detailed, you need to know what you saying
