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ML Knowledge
3 years ago
What do you know about Decision Trees? What are the tradeoffs involved in using these?
Data Scientist

Plaid

Robinhood

Audible

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3 years ago
Behavioral
3 years ago
Would you like to share a project you are proud of?
Data ScientistProduct ManagerBackend EngineerSoftware Engineer

Plaid

Cisco Logo

Cisco

GoodData Logo

GoodData

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3 years ago
Statistics
3 years ago
What is the chance of committing a type 1 error? Suppose we change the sampling distribution by disregarding all measurements below the mean. How does this affect the likelihood of a type 1 error?
Data Scientist

Plaid

Zalando Logo

Zalando

Netflix Logo

Netflix

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3 years ago
Behavioral
3 years ago
Describe a time when you took an unpopular decision.
Data ScientistTechnical Program ManagerSoftware EngineerProduct Manager

Plaid

Pristyn Care Logo

Pristyn Care

Ofbusiness Logo

Ofbusiness

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3 years ago
ML Knowledge
3 years ago
Can you tell us about any issues that arose while using supervised machine learning techniques and how they were resolved?
Data Scientist

Plaid

LendingClub Logo

LendingClub

Atlassian Logo

Atlassian

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3 years ago
Behavioral
3 years ago
What aligns Plaid with your long-term vision
Data Scientist

Plaid

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3 years ago
Behavioral
3 years ago
Briefly describe your background and what is your most relevant experience within Plaid
Data Scientist

Plaid

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3 years ago
Behavioral
3 years ago
Give us an example of a big mistake you made at work.
Data ScientistData Engineering ManagerUX ResearcherEngineering Manager

Plaid

Box Logo

Box

Amdocs Logo

Amdocs

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3 years ago
Statistics
3 years ago
How would you calculate the expected frequency of heads and tails on a fair coin to compare to the actual results?
Data Scientist

Plaid

Ola Logo

Ola

Autodesk Logo

Autodesk

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3 years ago
Product Case
3 years ago
How would you ascertain if our users found the video chat feature valuable?
Data Scientist

Plaid

Yandex Logo

Yandex

Blend Logo

Blend

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3 years ago

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

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