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ML Knowledge

3 years ago

What are the key features of the DBSCAN algorithm?

Data Scientist

NerdWallet

Mozilla

Fitbit

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3 years ago

Behavioral

3 years ago

I would like to hear about a time when you made a compromise

Data ScientistFull Stack Software EngineerProgram ManagerFrontend Engineer

NerdWallet

Zscaler

ETRADE

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3 years ago

ML KnowledgeStatistics

3 years ago

Walk us through the basic principles of Naive Bayes algorithm. How do you determine the threshold for classification in your Naive Bayes model?

Data Scientist

NerdWallet

American Express

WorldRemit

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3 years ago

Behavioral

3 years ago

In a previous role with a lot of responsibility, how did you overcome a challenge?

Data ScientistBackend EngineerProduct ManagerSoftware Engineer

NerdWallet

MyGlamm

HubSpot

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3 years ago

Coding

3 years ago

Find longest substring without any repeated characters.

Data Scientist

NerdWallet

Shopee

Zomato

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3 years ago

Behavioral

3 years ago

I want to know about a project you are really proud of.

Data ScientistTechnical Program ManagerSoftware EngineerProduct Manager

NerdWallet

Electronic Arts

Dropbox

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3 years ago

Behavioral

3 years ago

What did you do when you missed a deadline?

Data ScientistTechnical Program ManagerSoftware EngineerML Engineering Manager

NerdWallet

Decathlon

NVIDIA

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3 years ago

Coding

3 years ago

Can you craft a program that identifies the longest palindromic substring within a given string?

Data ScientistMachine Learning Engineer

NerdWallet

Postmates

Shutterstock

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3 years ago

Behavioral

3 years ago

What would you like to gain from the position of Data Scientist at NerdWallet - what are some of your key goals?

Data Scientist

NerdWallet

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3 years ago

Statistics

3 years ago

Explain the concept of skewness in distributions. Where would you typically find the mean and median in right-skewed and left-skewed distributions?

Data Scientist

NerdWallet

Workday

CrowdStrike

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3 years ago

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

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