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Behavioral

3 years ago

If a coworker frequently arrives late to a scheduled meeting, what would you do?

Data ScientistProgram ManagerFrontend EngineerFull Stack Software Engineer

SailPoint

Flexport

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3 years ago

Statistics

3 years ago

How can the principle of regression be conveyed to an executive without relying on statistical jargon?

Data Scientist

Snowflake

Dollar Shave Club

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3 years ago

ML Knowledge

3 years ago

What constitutes the BERT model's advantages, and how would you visualize and expound upon its underlying architecture?

Data Scientist

GoDaddy

Binance

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3 years ago

Statistics

3 years ago

What metrics would you use to assess the performance of a Gaussian mixture model on a specific data set, and how would you interpret these metrics to determine if the model is an appropriate choice?

Data Scientist

CrowdStrike

Ticketmaster

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3 years ago

ML Knowledge

3 years ago

List out some optimization algorithms you're aware of. How do you handle a million variables in optimization? How does simplex works?

Data Scientist

Venmo

Expedia

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3 years ago

Behavioral

3 years ago

Share with me an instance of failure at your work.

Data ScientistTechnical Program ManagerSoftware EngineerML Engineering Manager

Capital One

TuSimple

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3 years ago

Behavioral

4 years ago

Do you have a proud moment from a project?

Data ScientistProduct ManagerBackend EngineerSoftware Engineer

Cisco

GoodData

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4 years ago

Coding

4 years ago

What is the most efficient way to implement the two sum problem using a hash table and ensure a O(n) time complexity?

Data Scientist

Spotify

Teradata

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4 years ago

Statistics

4 years ago

If a couple has two kids, and they know one of them is a boy, what is the probability for the other child to be a boy?

Data Scientist

Yext

Electronic Arts

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4 years ago

Coding

4 years ago

Can you identify the blanagrams from the words given to you - cinema and iceman?

Data Scientist

Okta

Airbnb

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4 years ago

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

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