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Behavioral
7 months ago
What made you choose to apply to this company?
Data ScientistFull Stack Software EngineerFrontend EngineerProgram Manager

Robinhood

Centrica

Pandora

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7 months ago
ML Knowledge
7 months ago
Could you discuss the challenges presented by the curse of dimensionality and how you'd tackle them?
Data Scientist

Robinhood

Groupon Logo

Groupon

New Relic Logo

New Relic

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7 months ago
Behavioral
7 months ago
If you receive an offer from Robinhood, how long do you think you'll stay here?
Data Scientist

Robinhood

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7 months ago
ML Knowledge
7 months ago
When should we use decision trees, and what are the potential risks associated with them?
Data Scientist

Robinhood

Audible Logo

Audible

Spotify Logo

Spotify

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7 months ago
ML Knowledge
8 months ago
Can you talk me through the process of determining correlation between a binary and continuous variable?
Data Scientist

Robinhood

Figma Logo

Figma

Groupon Logo

Groupon

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8 months ago
Statistics
8 months ago
How do you address multicollinearity in regression models?
Data Scientist

Robinhood

Stitch Fix Logo

Stitch Fix

NetEase Logo

NetEase

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8 months ago
Behavioral
8 months ago
Could you tell me about a time when you aided a colleague with his work?
Data ScientistFull Stack Software EngineerProduction EngineerFrontend Engineer

Robinhood

Palantir Technologies Logo

Palantir Technologies

Rebel Foods Logo

Rebel Foods

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8 months ago
Behavioral
8 months ago
How well do you know Robinhood?
Data Scientist

Robinhood

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8 months ago
ML Knowledge
9 months ago
Could you walk me through the steps of calculating precision and recall in a machine learning model?
Data Scientist

Robinhood

Verizon Logo

Verizon

Cisco Logo

Cisco

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9 months ago
ML Knowledge
10 months ago
What are some of the prerequisites for clean data when it comes to machine learning, and how do you ensure they are all met?
Data Scientist

Robinhood

Duolingo Logo

Duolingo

Yahoo Logo

Yahoo

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10 months ago

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

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