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Behavioral

7 months ago

When have you gone an extra mile for a project or endeavor?

Data ScientistData Engineering ManagerEngineering ManagerUX Designer

Amazon

Shopify

Stripe

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7 months ago

ML Knowledge

7 months ago

What's your understanding of a minimum height tree, and how can it be created?

Data Scientist

Palantir Technologies

Apple

Meta

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7 months ago

Statistics

7 months ago

Can you delineate what a median is and how you might compute it when dealing with massive datasets?

Data Scientist

Spotify

Shopify

Flexport

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7 months ago

Behavioral

7 months ago

Tell me about a time you failed badly and what did you learn from it?

Data ScientistProduct ManagerBackend EngineerTechnical Program Manager

Asana

Google

Shopify

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7 months ago

ML Knowledge

7 months ago

How would you explain the concept of log loss to a peer?

Data ScientistMachine Learning Engineer

Spotify

Palo Alto Networks

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7 months ago

Behavioral

7 months ago

Would you change anything in Epic Systems if you could, to make it better?

Data Scientist

Epic Systems

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7 months ago

ML Knowledge

7 months ago

Describe any hurdles you have overcome while working with supervised machine learning, and how did you overcome them?

Data Scientist

LendingClub

Atlassian

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7 months ago

ML Knowledge

7 months ago

How to deal with categorical data with high cardinality ?

Data Scientist

Confluent

Infineon

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7 months ago

Coding

7 months ago

Can you devise a method to transform a character array from a minesweeper grid into an integer array of adjacent mine counts?

Data ScientistMachine Learning Engineer

Palantir Technologies

Flexport

Bitdefender

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7 months ago

Data Visualization

7 months ago

What is your process for creating visual representations of multi-dimensional data?

Data Scientist

Sprout Social

SwiftKey

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7 months ago

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Amazon

Data Scientist

Prepare for Behavioral interview at Amazon

Behavioral

Google

Data Scientist

Prepare for Behavioral interview at Google

Behavioral

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^*All interview questions are submitted by recent Data Scientist candidates, labelled and categorized by Prepfully, and then published after verification by current and ex-Data Scientist employees.