Data Science applicants have rated the interview process at Amazon with 3.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 25% positive. To compare, the company-average is 57.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science roles take an average of 7 days to get hired, when considering 4 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 according to 4 Glassdoor interviews include:
Phone interview: 33%
Other: 33%
Personality test: 33%
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There are three rounds in total. The process begins with a coding round, followed by the main interview loop, where you will meet the team and discuss technical skills, experience, and fit.
First round is fun, second round, which is also the final round involved 5 sessions, with different focus. For some sessions, not be able to present my story completely, time was tight, and interviewers were rushing.
Thrilled to have accepted the offer — the process was tougher than I expected. The first round was primarily technical, where I tackled an A/B testing design question that required detailed metrics and sample size calculations. Later, I faced a SQL query challenge focused on tracking customer purchases over consecutive months. Funny enough, I had spent quite some time on PracHub digging into similar case studies, which really helped me approach these problems confidently. The final round included behavioral questions, and I felt well-prepared overall.
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