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Statistics
5 months ago
Can you give an overview of how a model can be evaluated for bias and variance errors?
Data Scientist

Intercom

Duolingo

Pendo

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5 months ago
Behavioral
5 months ago
Tell me about a time you've had to change the way you work.
Data ScientistEngineering ManagerUX DesignerUX Researcher

Intercom

Bloomberg Logo

Bloomberg

Lam Research Logo

Lam Research

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5 months ago
ML Knowledge
5 months ago
When presented with a high-dimensional dataset in a machine learning challenge, how would you approach it?
Data Scientist

Intercom

Hopper Logo

Hopper

OpenDoor Logo

OpenDoor

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5 months ago
Coding
6 months ago
How would you approach programming Conway's Game of Life in Python?
Data Scientist

Intercom

GitLab Logo

GitLab

Intuit Logo

Intuit

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6 months ago
Behavioral
6 months ago
Could you tell us your top 3 strengths and how they align with Intercom?
Data Scientist

Intercom

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6 months ago
Statistics
6 months ago
What's your interpretation of an embedding in algorithmic terms?
Data Scientist

Intercom

Instagram Logo

Instagram

Bitdefender Logo

Bitdefender

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6 months ago
Coding
6 months ago
Write code to simulate the roll of a fair six-sided die using a uniform distribution (continuous) random number generator? How would you validate that the rolls are indeed fair?
Data ScientistMachine Learning Engineer

Intercom

Tableau Logo

Tableau

Nubank Logo

Nubank

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6 months ago
ML Knowledge
6 months ago
Can you walk me through the steps of implementing DBSCAN?
Data Scientist

Intercom

TikTok Logo

TikTok

DigitalOcean Logo

DigitalOcean

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6 months ago
Metrics and Experimentation
6 months ago
When creating a metric to compare two user's Netflix recommended lists of movie/tv show preferences, what steps would you take to ensure its reliability and accuracy?
Data Scientist

Intercom

Tinder Logo

Tinder

eBay Logo

eBay

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6 months ago
Statistics
6 months ago
What is the difference between likelihood and probability?
Data Scientist

Intercom

Zenefits Logo

Zenefits

Workday Logo

Workday

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6 months ago

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

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