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.
J'ai postulé via la recommandation d'un employé. J'ai passé un entretien chez Amazon en janv. 2020
Entretien
I had two phone interviews. Both of them were about ML/DL. I was also asked about my projects and to do some basic coding in one of the interviews where I just had to create a dataset and sample and split into training and testing dataset.
Questions d'entretien [1]
Question 1
Regression, AdaBoost, CNNs, RNNs, Imbalanced Dataset handling.
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.
Questions d'entretien [1]
Question 1
Explain the end - to - end data processing pipeline.
J'ai postulé via la recommandation d'un employé. Le processus a pris 4 semaines. J'ai passé un entretien chez Amazon (Seattle, WA)
Entretien
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
Questions d'entretien [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