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 en ligne. Le processus a pris 3 semaines. J'ai passé un entretien chez Amazon en mars 2025
Entretien
Interviewer introduced herself, then asked me to introduce myself. DS Qs asked: 1. Diff bw classification and regression models? 2. Given a dataset with some features in it, we want to know why some of the robots in our warehouse are being disabled, is that a classification or regression problem? How would you approach this problem? How to handle missing data? How to deal with high dimensionality issue?
Questions d'entretien [1]
Question 1
1. Diff bw classification and regression models? 2. Given a dataset with some features in it, we want to know why some of the robots in our warehouse are being disabled, is that a classification or regression problem? How would you approach this problem? How to handle missing data? How to deal with high dimensionality issue?
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