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ML Case
3 years ago
What strategies would you employ to develop a model that effectively recognizes objects in a frame?
Data Scientist

Criteo

Yandex

WeWork

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3 years ago
Coding
3 years ago
How would you implement Conway's Game of Life using Python?
Data Scientist

Criteo

GitLab Logo

GitLab

Intuit Logo

Intuit

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3 years ago
ML Knowledge
3 years ago
What are some of the key methods that Machine Learning professionals use for dimension reduction, and how do they work?
Data Scientist

Criteo

Instacart Logo

Instacart

ThoughtWorks Logo

ThoughtWorks

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3 years ago
ML CaseProduct CaseML System Design
3 years ago
In creating a demand forecasting model for a ride-sharing service, which factors and data sources would you prioritize, and why? What steps would you take to validate the model and ensure its accuracy?
Data Scientist

Criteo

Twilio Logo

Twilio

Viber Logo

Viber

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3 years ago
ML KnowledgeML Case
3 years ago
How does the increasing number of layers in a model complicate its use?
Data Scientist

Criteo

Cohesity Logo

Cohesity

Snap Logo

Snap

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3 years ago
ML Knowledge
3 years ago
What can you tell us about the Random Forest algorithm and its implementation?
Data Scientist

Criteo

Zenefits Logo

Zenefits

Symantec Logo

Symantec

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3 years ago
Behavioral
3 years ago
In what way would you improve Criteo?
Data Scientist

Criteo

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3 years ago
Behavioral
3 years ago
When was the last time you failed badly and what did you learn?
Data ScientistData Engineering ManagerML Engineering ManagerEngineering Manager

Criteo

REI Logo

REI

Lenovo Logo

Lenovo

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3 years ago
Coding
3 years ago
What algorithm finds the longest substring with distinct characters in a string?
Data Scientist

Criteo

Amgen Logo

Amgen

Segment Logo

Segment

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3 years ago
ML Knowledge
3 years ago
What is the curse of dimensionality in the context of data with many features, and how would you address this issue?
Data Scientist

Criteo

Walmart Logo

Walmart

Cognizant Logo

Cognizant

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3 years ago

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

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