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Product Case
a year ago
What criteria do you think we should use to evaluate the effectiveness of our new credit card, and how do we ensure that we achieve our targets?
Data Scientist

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Razorpay

Monzo

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a year ago
ML Knowledge
a year ago
What would you say is the primary function of CNN, and where is it most relevant?
Data Scientist

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DocuSign Logo

DocuSign

Boeing Logo

Boeing

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a year ago
ML Knowledge
a year ago
How can you compensate for an imbalanced dataset in your analyses?
Data Scientist

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Ironclad Logo

Ironclad

Blend Logo

Blend

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a year ago
Statistics
a year ago
Can you simulate 1000 normally distributed data points using mean x and variance y, provide summary statistics, and explain the statistical measures along with generating a density plot?
Data Scientist

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WeWork Logo

WeWork

Bolt Logo

Bolt

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a year ago
Statistics
a year ago
There are 4 red balls and 2 blue balls, what's the probability of them not being the same in the 2 picks?
Data Scientist

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Anaplan Logo

Anaplan

HelloFresh Logo

HelloFresh

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a year ago
Behavioral
a year ago
Tell me about a time when you led a team.
Data ScientistProgram ManagerFrontend EngineerSite Reliability Engineer

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Zoho Logo

Zoho

Ironclad Logo

Ironclad

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a year ago
Product CaseML Case
a year ago
What factors influence <company>'s rider requests? How would you predict the number of ride requests?
Data Scientist

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Square Logo

Square

Quantcast Logo

Quantcast

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a year ago
SQL
a year ago
How do you determine when to use an inner join versus an outer join?
Data Scientist

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Meta Logo

Meta

Zomato Logo

Zomato

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a year ago
Behavioral
a year ago
I'd like you to tell me what you learned from a major failure.
Data ScientistData Science ManagerEngineering ManagerUX Designer

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Blackbaud Logo

Blackbaud

Seagate Logo

Seagate

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a year ago
Statistics
2 years ago
When utilizing hypothesis testing, what are type I and type II errors, and which error would you say is more detrimental?
Data Scientist

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Scribd Logo

Scribd

DataRobot Logo

DataRobot

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2 years ago

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

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