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Behavioral
2 years ago
Share an example of a time you failed to achieve your goal
Data ScientistData Engineering ManagerML Engineering ManagerEngineering Manager

Intuit

Udacity

Oracle

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2 years ago
Statistics
2 years ago
What are type I and type II errors in the context of hypothesis testing? Is one of them more significant than the other?
Data Scientist

Intuit

AppDynamics Logo

AppDynamics

BetterUp Logo

BetterUp

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2 years ago
Behavioral
2 years ago
I would like you to describe a process that you learned or developed at your previous job that you think will be valuable to your future position with Intuit
Data Scientist

Intuit

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2 years ago
Behavioral
2 years ago
How did you come to find out you needed a new job?
Data ScientistFull Stack Software EngineerFrontend EngineerSite Reliability Engineer

Intuit

Quikr Logo

Quikr

Apptio Logo

Apptio

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2 years ago
Statistics
2 years ago
Describe a probability distribution that is not normal, and explain how it could be applied in a real-world scenario?
Data Scientist

Intuit

Careem Logo

Careem

StubHub Logo

StubHub

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2 years ago
Coding
2 years ago
What methods would you employ to uncover possible shared origins between two people within their respective family trees?
Data Scientist

Intuit

NVIDIA Logo

NVIDIA

SurveyMonkey Logo

SurveyMonkey

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2 years ago
Product Case
2 years ago
In your opinion, how would you measure the success of a carpooling program?
Data Scientist

Intuit

DocuSign Logo

DocuSign

Elastic Logo

Elastic

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2 years ago
Coding
2 years ago
What would be your approach to formulate a function that locates every anagram of a specified string?
Data Scientist

Intuit

New Relic Logo

New Relic

American Express Logo

American Express

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2 years ago
ML Knowledge
2 years ago
What is the formula for calculating precision and recall?
Data Scientist

Intuit

LendingClub Logo

LendingClub

Springboard Logo

Springboard

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2 years ago
ML Knowledge
2 years ago
For those of us not well-versed in decision trees, could you provide an explanation of bias and variance and how they're pertinent? Additionally, could you share with us which of those two is tougher to deal with: high bias or high variance - and why?
Data Scientist

Intuit

Rippling Logo

Rippling

Salesforce Logo

Salesforce

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2 years ago

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

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