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.
Round 1: One interview with hiring manager with questions about past experiences Round 2: Two interviews with coding questions (mainly Python), high-level machine learning questions, and questions about leadership principles dd
Domande di colloquio [1]
Domanda 1
Q: What's the difference between Gradient Boosted Trees and Random Forest?
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
