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ML Knowledge

4 years ago

What issues might you face when training deep neural networks that have a lot of layers?

Data Scientist

NerdWallet

Google

Avito

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4 years ago

Behavioral

4 years ago

What is your most significant accomplishment? Why?

Data ScientistProgram ManagerFrontend EngineerFull Stack Software Engineer

NerdWallet

Cognizant

Babylon Health

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4 years ago

Behavioral

4 years ago

Describe a situation where you took the initiative.

Data ScientistData Science ManagerML Engineering ManagerData Engineering Manager

NerdWallet

Two Sigma

Citrix Systems

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4 years ago

Analytics Case

4 years ago

Could you elaborate on how you estimate the quantity of fake news on Facebook and its outcomes, such as erosion of trust or creation of echo chambers?

Data Scientist

NerdWallet

Wish

Amazon

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4 years ago

Coding

4 years ago

Could you demonstrate a Python function that calculates the Fibonacci sequence?

Data Scientist

NerdWallet

Fitbit

Deloitte

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4 years ago

Statistics

4 years ago

Can you clarify the meaning of p-value and how it is calculated?

Data Scientist

NerdWallet

ASML

ZocDoc

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4 years ago

Statistics

4 years ago

If you roll a single die, what is the probable value of the prize?

Data Scientist

NerdWallet

trivago

Marqeta

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4 years ago

Behavioral

4 years ago

Tell me about a difficult conflict you managed.

Data ScientistTechnical Program ManagerSoftware EngineerProduct Manager

NerdWallet

Jabil Circuit

Zola

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4 years ago

Behavioral

4 years ago

Describe a time when you assisted a colleague with his work. What happened as a result?

Data ScientistFull Stack Software EngineerProduction EngineerFrontend Engineer

NerdWallet

Palantir Technologies

Rebel Foods

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4 years ago

ML Knowledge

4 years ago

How do you perceive the role of DMatrix in XGBoost, and how does it differ from other gradient boosting data structures?

Data ScientistMachine Learning Engineer

NerdWallet

Viber

Deloitte

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4 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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