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Behavioral
a year ago
How would you describe yourself and why do you think that you should be hired by Peloton?
Data Scientist

Peloton

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a year ago
Behavioral
a year ago
How did you learn from failing badly? When did you do this?
Data ScientistProduct ManagerBackend EngineerTechnical Program Manager

Peloton

JoyTunes

N26

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a year ago
Coding
a year ago
Can you develop a function to reverse the sequence of a string?
Data ScientistMachine Learning Engineer

Peloton

Skyscanner Logo

Skyscanner

StubHub Logo

StubHub

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a year ago
ML Knowledge
a year ago
What communication methods do you find most effective when conveying technical concepts of machine learning to those less familiar with the subject?
Data Scientist

Peloton

Squarespace Logo

Squarespace

Electronic Arts Logo

Electronic Arts

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a year ago
Behavioral
a year ago
What do you do to earn trust from your team?
Data ScientistEngineering ManagerUX DesignerUX Researcher

Peloton

Gupshup Logo

Gupshup

RentoMojo Logo

RentoMojo

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a year ago
Behavioral
a year ago
How would you improve Peloton if you were to get the Data Scientist job?
Data Scientist

Peloton

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a year ago
SQL
a year ago
Could you construct a SQL query that pulls only the unique conversation events from a database?
Data Scientist

Peloton

Zenefits Logo

Zenefits

Mapbox Logo

Mapbox

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a year ago
Statistics
a year ago
Could you figure out the odds of getting heads twice in a row in a coin toss?
Data Scientist

Peloton

Waymo Logo

Waymo

Bill.com Logo

Bill.com

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a year ago
Behavioral
a year ago
How do your near term objectives contribute to your long term objectives?
Data ScientistFrontend EngineerProgram ManagerFull Stack Software Engineer

Peloton

SurveyMonkey Logo

SurveyMonkey

Unity Technologies Logo

Unity Technologies

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a year ago
Coding
a year ago
What method would you use to program a function that generates all anagrams of a given string?
Data Scientist

Peloton

Lattice Logo

Lattice

Pandora Logo

Pandora

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a year ago

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

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