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ML Knowledge
3 years ago
What is a good way to detect anomalies?
Data Scientist
YouTube Logo

YouTube

Teradata Logo

Teradata

ASML Logo

ASML

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3 years ago
Behavioral
3 years ago
What have you learned from a recent failure? How has this failure helped you to become a better Data Scientist?
Data Scientist
YouTube Logo

YouTube

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3 years ago
ML Knowledge
3 years ago
What do you think about the usefulness of Time Series Forecasting in predicting trends and patterns in data over a period of time?
Data Scientist
YouTube Logo

YouTube

Careem Logo

Careem

GoCardless Logo

GoCardless

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3 years ago
Statistics
4 years ago
Explain the difference between the frequentist and Bayesian approach to probability. How would you decide which approach to use in a given situation?
Data Scientist
YouTube Logo

YouTube

Noom Logo

Noom

Bloomberg Logo

Bloomberg

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4 years ago
Behavioral
4 years ago
Why would you be a good match for YouTube?
Data Scientist
YouTube Logo

YouTube

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4 years ago
Behavioral
4 years ago
How would you like to be positioned in your next role at YouTube?
Data Scientist
YouTube Logo

YouTube

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4 years ago
Product Case
4 years ago
Which key performance indicators (KPIs) would you track to assess the engagement levels for the new video chat feature?
Data Scientist
YouTube Logo

YouTube

Yandex Logo

Yandex

Blend Logo

Blend

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4 years ago
Coding
4 years ago
How would you make sure that the most recently used items in a large dataset are readily available to your program?
Data Scientist
YouTube Logo

YouTube

BuzzFeed Logo

BuzzFeed

Samsara Logo

Samsara

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4 years ago
Behavioral
4 years ago
Describe a work failure that taught you a lot.
Data ScientistData Science ManagerEngineering ManagerUX Designer
YouTube Logo

YouTube

Blackbaud Logo

Blackbaud

Seagate Logo

Seagate

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4 years ago
Metrics and Experimentation
4 years ago
Can you give a specific criterion that you use to establish if a marketing channel is performing satisfactorily or not?
Data Scientist
YouTube Logo

YouTube

Arm Logo

Arm

Gusto Logo

Gusto

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4 years ago

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