Candidates applying for Data Science Intern roles take an average of 120 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Amazon overall takes an average of 31 days.
Common stages of the interview process at Amazon as a Data Science Intern according to 1 Glassdoor interviews include:
Skills test: 33%
Other: 33%
One on one interview: 33%
Here are the most commonly searched roles for interview reports -
The first part was a phone interview. After this, there were two more rounds of the interview: technical interview and behavioral interview. The technical interview were related to ML questions and behavioral interview was related to STAR method
Interview questions [1]
Question 1
The technical interview questions were related to data imbalancing and how to decide the depth of neural network
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
Interview questions [1]
Question 1
Q: What's the difference between Gradient Boosted Trees and Random Forest?
2 rounds One was behavioral/resume review. Asked questions about my previous roles. ML theoretical stuff. The second one was technical. SQL and Python were asked. Leadership Principles in both of them.