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Amazon Data Scientist Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 246 interview experiences · FREE TO READ

2.5 Rounds average
29.7 Day average
Average Typical difficulty
55.7% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Amazon.

Showing 3 of 246
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Applied Scientist

Research · Santa Clara, CA · nearly a year ago

Intern Difficult Positive experience Accept offer 3 rounds
Interview process
Take home Technical screen
Interview formats
Technical Coding Behavioral Other

I got a referral to the job because of my current collaboration with Amazon for my dissertation. I'm a 2nd-year PhD student in Computer Science. The first part was an online assessment (OA) which mainly had Leetcode easy and medium questions and the leadership principle test. The next phase was the technical interview, where I was interviewed in 2 different sessions, each session with an Applied Scientist for 1 hour. The interview mainly focused on my research collaboration with Amazon and my previous research works during undergrad.

Confirmed questions1 question
  • What was your research mainly about?
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Amazon

Applied Scientist

Engineering · Boston, MA · nearly a year ago

Senior Difficult Neutral experience No offer 2 rounds
Interview process
Phone screen Onsite
Interview formats
Behavioral Technical Coding System Design Presentation

Online screen with a coding exercise and behavioral questions. Then onsite loop interviews with presentations, different coding exercises (including DFS), an ML system design question, depth and breadth knowledge questions, and a lot of behavioral questions.

Confirmed questions1 question
  • Design a Github Copilot-style agent.
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Amazon

Applied Scientist

Research · Bengaluru · nearly a year ago

Mid Difficult Positive experience No offer 2 rounds About a month
Interview process
Recruiter call Technical screen
Interview formats
Technical

Recruiter contacted me via LinkedIn. I was preparing more on resume and leadership principles but the screen round was purely statistical. Screen included: -Bayes theorem question -Can we fit linear regression on 100 rows, 1000 columns -var(x) = 2var(y), with the same expectation, what is the best possible way to get weight measurement -Daily rainfall data - how to get the rainy season time

Confirmed questions4 questions
  • -Bayes theorem type question
  • -Can we apply linear regression when we have 100 rows and 1000 columns
  • -var(x) = 2var(y), with same expectation, what is the best way to do weight measurement

Amazon Data Scientist Interview Questions

Quoted word for word from Amazon interview reports.

“Given a PDF and a random variable, draw some specific number of points from it using a given list of probabilities”

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“Given a time limit and edge costs, check if the destination can be reached within that limit. If it can, return the minimum time and cost; otherwise, say the destination can’t be reached within the limit.”

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“What is KL divergence and how does it connect to cross entropy loss in practical use?”

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“How is linear regression different from logistic regression, and what kinds of loss functions are used in each case?”

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“What is the closed-form solution to linear regression, and when is it preferable to use gradient descent instead? Also, what is the time complexity of matrix inversion?”

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“What is the role of dropout and what is the role of the activation function?”

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“Given a graph and specific origin and destination nodes, how would you determine a shortest path from the origin to the destination?”

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“Can you build an anomaly detection tool using pandas? How would you compute a rolling average in pandas?”

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“Given these distribution centres and the costs linked with each route, design an algorithm to determine the best overall strategy.”

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Formats, difficulty and experience

Across all 246 Amazon interview reports.

Interview formats

Technical 33.9%
Behavioral 24.5%
Coding 22.7%
Other 9.1%
System Design 4%

Interview difficulty

Easy 8.1%
Average 58.1%
Difficult 33.7%

Candidate experience

Negative 12.6%
Neutral 31.7%
Positive 55.7%