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ML Knowledge
a year ago
What assortment of loss functions are you acquainted with?
Data Scientist

Panasonic

Square

Takeaway

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a year ago
Behavioral
a year ago
Share an example of a time you failed to succeed.
Data ScientistData Engineering ManagerUX DesignerEngineering Manager

Panasonic

Chewy

SAP

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a year ago
Statistics
a year ago
How do you convey the concept of power to a layman?
Data Scientist

Panasonic

Tableau Logo

Tableau

Deliveroo Logo

Deliveroo

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a year ago
Behavioral
a year ago
Tell me about a time when you got a performance rating you disagreed with.
Data ScientistFull Stack Software EngineerData AnalystData Engineering Manager

Panasonic

Magic Leap Logo

Magic Leap

Proofpoint Logo

Proofpoint

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a year ago
Statistics
a year ago
Can you walk me through the process you use to choose the perfect statistical test for a problem?
Data Scientist

Panasonic

Envoy Logo

Envoy

SeatGeek Logo

SeatGeek

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a year ago
Statistics
a year ago
Can you describe the concept of a median and how to calculate it from a very large dataset not fitting in memory?
Data Scientist

Panasonic

Spotify Logo

Spotify

Marqeta Logo

Marqeta

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a year ago
Coding
a year ago
Can you implement a binary search-based function to pinpoint the maximum element in a list?
Data ScientistMachine Learning Engineer

Panasonic

Rubrik Logo

Rubrik

Disney Logo

Disney

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a year ago
Statistics
a year ago
What are the ways to minimize residuals on a different statistical model?
Data Scientist

Panasonic

Amazon Web Services Logo

Amazon Web Services

Monzo Logo

Monzo

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a year ago
Behavioral
a year ago
Tell me about a community that you care about? And if you had a chance to contribute, how would you do it?
Data ScientistProduct ManagerBackend EngineerTechnical Program Manager

Panasonic

eBay Logo

eBay

GlobalBees Logo

GlobalBees

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a year ago
Behavioral
a year ago
Tell us about how Panasonic aligns with your longer term plans
Data Scientist

Panasonic

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a year ago

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

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