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SQL
2 years ago
In what ways do you think measuring monthly retention is important for this company?
Data Scientist

Criteo

Deliveroo

Mixpanel

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2 years ago
Behavioral
2 years ago
Tell me about a time you were challenged when you were in public.
Data ScientistData Science ManagerML Engineering ManagerData Engineering Manager

Criteo

Orange Logo

Orange

Nubank Logo

Nubank

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2 years ago
Behavioral
2 years ago
Why have you decided to change your job? Why do you feel Criteo is a good next step?
Data Scientist

Criteo

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2 years ago
Behavioral
2 years ago
You observe that a colleague always arrives late to a weekly meeting. What would you do?
Data ScientistProduct ManagerBackend EngineerTechnical Program Manager

Criteo

MPL Logo

MPL

Commvault Logo

Commvault

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2 years ago
Behavioral
2 years ago
Describe an occasion when you took ownership
Data ScientistTechnical Program ManagerSoftware EngineerProduct Manager

Criteo

ApplyBoard Logo

ApplyBoard

Naspers Logo

Naspers

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2 years ago
Coding
2 years ago
How would you execute a binary search in code and describe the time complexity? Moreover, can the search be enhanced?
Data Scientist

Criteo

Bitdefender Logo

Bitdefender

Mailchimp Logo

Mailchimp

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2 years ago
Statistics
2 years ago
How would you explain a median and what techniques would you use to compute it from an oversized dataset?
Data Scientist

Criteo

Spotify Logo

Spotify

Marqeta Logo

Marqeta

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2 years ago
Statistics
2 years ago
How do you evaluate whether a Gaussian mixture model is appropriate for a particular data set?
Data Scientist

Criteo

CrowdStrike Logo

CrowdStrike

Ticketmaster Logo

Ticketmaster

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2 years ago
Coding
2 years ago
Could you develop a Python function that applies a markdown to selected song streams?
Data Scientist

Criteo

ZocDoc Logo

ZocDoc

Avito Logo

Avito

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2 years ago
ML Knowledge
3 years ago
For those of us not well-versed in decision trees, could you provide an explanation of bias and variance and how they're pertinent? Additionally, could you share with us which of those two is tougher to deal with: high bias or high variance - and why?
Data Scientist

Criteo

Elastic Logo

Elastic

Rivian Logo

Rivian

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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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