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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
Behavioral
a year ago
What are your thoughts on Panasonic?
Data Scientist

Panasonic

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a year ago
Behavioral
2 years ago
What is one example of a time you went the extra mile for a project or purpose?
Data ScientistData Engineering ManagerEngineering ManagerUX Designer

Panasonic

Roblox

PayPal

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2 years ago
ML Knowledge
2 years ago
How do you deal with high-dimensional datasets in machine learning tasks?
Data Scientist

Panasonic

Atlassian Logo

Atlassian

Visa Logo

Visa

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2 years ago
Behavioral
2 years ago
Share a story about an occasion when you were forced to compromise
Data ScientistFull Stack Software EngineerProgram ManagerFrontend Engineer

Panasonic

Zscaler Logo

Zscaler

ETRADE Logo

ETRADE

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2 years ago
ML Knowledge
2 years ago
What is your understanding of why feature selection plays such a critical role in machine learning?
Data Scientist

Panasonic

Swiggy Logo

Swiggy

Noon Logo

Noon

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2 years ago
Metrics and Experimentation
2 years ago
How do you track data to confirm whether a marketing channel is performing well or not?
Data Scientist

Panasonic

Arm Logo

Arm

Gusto Logo

Gusto

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2 years ago
Analytics Case
2 years ago
E, F, G, H, and I are all characters linked together. E is linked to F, E is linked to G, G is linked to H, G is linked to I. Can these characters be separated into two sets so that the graph will be a bipartite?
Data Scientist

Panasonic

Postmates Logo

Postmates

HubSpot Logo

HubSpot

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2 years ago
StatisticsML Knowledge
2 years ago
What are the essential elements of Naive Bayes and how do you decide on the classification threshold?
Data Scientist

Panasonic

American Express Logo

American Express

WorldRemit Logo

WorldRemit

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2 years ago
Statistics
2 years ago
Could you determine the interquartile range for a given unsorted decimal array?
Data Scientist

Panasonic

LinkedIn Logo

LinkedIn

Groupon Logo

Groupon

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2 years 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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