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Coding

3 years ago

Can you explain what the LRU cache is and its use case?

Data Scientist

Affirm

BuzzFeed

Samsara

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3 years ago

Behavioral

3 years ago

When have you made a decision that didn't turn out the way you expected? What did you learn from that experience?

Data ScientistData Science ManagerEngineering ManagerUX Designer

Affirm

Trackmaven

Okta

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3 years ago

Behavioral

3 years ago

If you receive an offer from Affirm, how long do you think you'll stay here?

Data Scientist

Affirm

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3 years ago

Statistics

3 years ago

If you know for certain that a friend of yours has 2 children and that atleast one of them is a boy, what is the probability that the other is also a boy?

Data Scientist

Affirm

ASML

Coursera

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3 years ago

ML KnowledgeML Case

3 years ago

What are your go-to optimization techniques and how do they essentially operate?

Data Scientist

Affirm

Babylon Health

Figma

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3 years ago

Behavioral

3 years ago

In your opinion, what are some of the key success indicators for someone in the Data Scientist role?

Data Scientist

Affirm

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3 years ago

Coding

3 years ago

If you could only use a random number generator, how would you generate independent and identically distributed draws from distribution X?

Data Scientist

Affirm

ClassPass

HubSpot

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3 years ago

ML Knowledge

3 years ago

In your experience, what are some of the examples of real-world scenarios where overfitting and underfitting have posed challenges for model performance and accuracy? What are the outcomes?

Data Scientist

Affirm

DigitalOcean

Bill.com

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3 years ago

Statistics

3 years ago

How would you create an A/B test that can measure the relative effectiveness of two product campaigns, with a desired 3% increase in effectiveness?

Data Scientist

Affirm

Bill.com

DeliveryHero

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3 years ago

ML Knowledge

3 years ago

Can you delineate the purpose and method of outlier detection?

Data Scientist

Affirm

Redfin

NetSuite

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3 years ago

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

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