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Candidate-reported interview insights

Amazon Web Services Data Scientist interviews, decoded.

Explore commonly reported questions, interview rounds, difficulty, duration, and candidate experiences for the Data Scientist role at Amazon Web Services.

3.6 rating Internet & Web Services

Interview overview

Difficulty

Average

Average rounds

2.5

Average duration

~44 days

Difficulty and candidate experience

Interview difficulty

easy21.1%
average47.4%
difficult31.6%

Candidate experience

positive55.3%
neutral26.3%
negative18.4%

Candidate-reported interview process

I was contacted by a recruiter in February and completed an online assessment. About one to two weeks later, I had back-to-back interviews with two scientists. One scientist asked me about my research, and the other asked me behavioral questions about leadership principles.

It was a quick process with just two parts: an online assessment and then a call with the hiring manager. The online assessment was all about data structures and algorithms, like LeetCode easy and medium problems. The phone interview was a mix of behavioral and technical questions. They really wanted to hear about times I used leadership principles, so remember to use the STAR method for those.

We started with an online assessment that had two LeetCode-style problems, one easy and one medium. After that, I had a phone interview with the hiring manager, where they asked some technical questions specific to the team I was applying for. It was mostly behavioral questions though.

Common Amazon Web Services Data Scientist interview questions

A focused selection of the most detailed candidate-submitted questions.

  1. 1

    What are dropout layers?

  2. 2

    Explain LLM architecture

Interview question formats

Technical41.9%
Coding30.2%
Behavioral23.3%
Presentation2.3%
Case1.2%

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Interview information is based on candidate reports and may not represent the current official hiring process of Amazon Web Services.