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Behavioral

7 months ago

Tell me about a time you've had to change the way you work.

Data ScientistData Science ManagerML Engineering ManagerData Engineering Manager

Asana

Microsoft

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7 months ago

Behavioral

7 months ago

Tell me about a time when you led a team

Data ScientistBackend EngineerProduct ManagerTechnical Program Manager

Asana

Google

Netflix

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7 months ago

Behavioral

7 months ago

Please tell us about the lessons you learned from a major failure at work.

Data ScientistData Science ManagerEngineering ManagerUX Designer

TikTok

Google

Apple

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7 months ago

ML Knowledge

7 months ago

What sets the K-means algorithm apart from the Expectation-Maximization (EM) algorithm?

Data Scientist

Shopify

Bloomberg

Chewy

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7 months ago

Statistics

7 months ago

How does the magnitude of correlation between two type predictors affect the regression coefficients and the confidence intervals in logistic regression?

Data Scientist

Palo Alto Networks

Atlassian

Zomato

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7 months ago

ML Knowledge

7 months ago

When we talk about decision trees, how do we consider bias and variance? And, if you wouldn't mind, which do you think is more challenging: high bias or high variance, and give us an explanation for that assertion?

Data Scientist

DigitalOcean

Elastic

Rivian

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7 months ago

Behavioral

7 months ago

How do you cope with your work load in your present company?

Data ScientistFull Stack Software EngineerFrontend EngineerQuality Assurance Engineer

Palantir Technologies

Flexport

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7 months ago

Behavioral

7 months ago

How do you qualify as a good candidate?

Data ScientistData Science ManagerEngineering ManagerUX Designer

Spotify

Microsoft

DoorDash

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7 months ago

Behavioral

7 months ago

Tell me about a time when you helped show the ropes to someone junior to you.

Data ScientistiOS EngineerBackend EngineerProduct Manager

TikTok

Palo Alto Networks

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^*All interview questions are submitted by recent Data Scientist candidates, labelled and categorized by Prepfully, and then published after verification by current and ex-Data Scientist employees.