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Behavioral

a year ago

How did you handle a task where you had a deadline and couldn't meet it?

Data ScientistTechnical Program ManagerSoftware EngineerML Engineering Manager

Airtable

Decathlon

NVIDIA

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a year ago

Behavioral

a year ago

Tell me about a time you had multiple competing priorities. How did you handle this?

Data ScientistData Science ManagerML Engineering ManagerEngineering Manager

Airtable

Medium

WeTransfer

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a year ago

Behavioral

a year ago

What are your near term goals? How do they contribute to your long term goals?

Data ScientistFrontend EngineerProgram ManagerFull Stack Software Engineer

Airtable

SurveyMonkey

Unity Technologies

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a year ago

ML KnowledgeML Case

a year ago

How do you measure performance of computer vision models?

Data Scientist

Airtable

Medallia

Google

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a year ago

ML Knowledge

a year ago

What are the benefits and drawbacks of incorporating decision trees into a machine learning model?

Data Scientist

Airtable

Robinhood

Audible

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a year ago

Coding

a year ago

How would you write an algorithm to uncover all the anagrams of a provided string?

Data Scientist

Airtable

Lattice

Pandora

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a year ago

Behavioral

a year ago

I want to hear about a time when you exceeded expectations

Data ScientistProgram ManagerFrontend EngineerFull Stack Software Engineer

Airtable

Figma

Duolingo

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a year ago

ML Knowledge

a year ago

What distinguishes bagging from boosting, and how do they impact the bias and variance of a model?

Data Scientist

Airtable

Peloton

Niantic

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a year ago

Coding

a year ago

How would you approach the problem of finding all the triplets that add up to a given target sum in an input array consisting of integers?

Data Scientist

Airtable

Amazon Web Services

Criteo

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a year ago

ML Knowledge

a year ago

How would you approach selecting between Ridge and Lasso regression when presented with a regression problem?

Data Scientist

Airtable

Riot Games

Swiggy

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a year ago

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

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