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ML Knowledge
a year ago
What are the significant challenges in training deep neural networks with numerous layers?
Data Scientist

Amazon

Google

Avito

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a year ago
Behavioral
a year ago
How do you see your career evolving in the next five years? Does Amazon fit into this plan?
Data Scientist

Amazon

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a year ago
Coding
a year ago
Can you describe a process for determining the dot product of two sparse matrices?
Data ScientistMachine Learning Engineer
Amazon Web Services Logo

Amazon Web Services

Amazon

Tesla Logo

Tesla

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a year ago
ML Knowledge
a year ago
What is log loss?
Data ScientistMachine Learning Engineer

Amazon

Datadog Logo

Datadog

DocuSign Logo

DocuSign

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a year ago
SQL
a year ago
Let's imagine we have a list of (date, duration) tuples. How would you filter by a specific time frame and then calculate summary stats like the average duration and rolling sum?
Data Scientist

Amazon

Samsara Logo

Samsara

GitLab Logo

GitLab

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a year ago
Behavioral
a year ago
Why did you decide to apply to Amazon?
Data Scientist

Amazon

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a year ago
Product Case
a year ago
Talk me through your rationale for how you would set pricing for riders.
Data Scientist

Amazon

Curve Logo

Curve

Segment Logo

Segment

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a year ago
ML Knowledge
a year ago
How does PCA work?
Data Scientist

Amazon

Stripe Logo

Stripe

Noom Logo

Noom

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a year ago
Statistics
a year ago
Consider the probability of guessing a random card from a deck. If you could ask about its color or if it's a face card to improve your guess, which question would you choose?
Data Scientist

Amazon

LinkedIn Logo

LinkedIn

McAfee Logo

McAfee

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a year ago
ML Knowledge
a year ago
Discuss your experience with specific ML tools and frameworks, such as TensorFlow or PyTorch.
Data Scientist

Amazon

Cure.Fit Logo

Cure.Fit

Ripple Logo

Ripple

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a year ago

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*All interview questions are submitted by recent Amazon Data Scientist candidates, labelled and categorized by Prepfully, and then published after being verified by Data Scientists at Amazon.

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