Ho presentato la mia candidatura online. La procedura ha richiesto 3 settimane. Ho sostenuto un colloquio presso Amazon nel mese di mar 2025
Colloquio
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?
Domande di colloquio [1]
Domanda 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?
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.
Ho sostenuto un colloquio presso Amazon (Seattle, WA)
Colloquio
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.
Domande di colloquio [1]
Domanda 1
Explain the end - to - end data processing pipeline.
Ho presentato la mia candidatura tramite segnalazione di un dipendente. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso Amazon (Seattle, WA)
Colloquio
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
Domande di colloquio [1]
Domanda 1
1) Technical: Coding with SQL, and Pandas
2) Behaviour: Amazon Principal
3) Confusion matrix -- very detailed, you need to know what you saying
