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Statistics

3 years ago

What's your understanding of the dissimilarities between the frequentist and Bayesian methods for probability? Further, what benchmarks would you use when selecting which path to take in a given situation?

Data Scientist

Dropbox

Noom

Bloomberg

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3 years ago

Behavioral

3 years ago

When you thought you had a lot of responsibilities in a previous role, how did you overcome that challenge?

Data ScientistBackend EngineerProduct ManagerSoftware Engineer

Dropbox

MyGlamm

HubSpot

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3 years ago

Behavioral

3 years ago

What did you learn from a recent failure? How has this failure made you a better Data Scientist?

Data Scientist

Dropbox

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3 years ago

Behavioral

3 years ago

Would you be willing to share an experience where you took a risk?

Data ScientistFrontend EngineerAndroid EngineerSales Engineer

Dropbox

Panasonic

Leidos

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3 years ago

ML Knowledge

3 years ago

What steps does a bounding box regressor take to localize objects in images?

Data Scientist

Dropbox

Grafana Labs

DigitalOcean

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3 years ago

Behavioral

3 years ago

Describe a time you had to compromise

Data ScientistFull Stack Software EngineerProgram ManagerFrontend Engineer

Dropbox

Zscaler

ETRADE

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3 years ago

ML Knowledge

3 years ago

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

Data Scientist

Dropbox

Google

Avito

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3 years ago

ML Knowledge

3 years ago

How do you adjust for data skewness when assessing the performance of a model, and what are your go-to metrics?

Data ScientistMachine Learning Engineer

Dropbox

SeatGeek

Chime

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3 years ago

ML Knowledge

3 years ago

What role does the assumption of error play in ensuring accurate linear regression models, and why is it critical to consider?

Data Scientist

Dropbox

DeliveryHero

Datadog

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3 years ago

Behavioral

3 years ago

How did you come to find out you needed a new job?

Data ScientistEngineering ManagerUX DesignerUX Researcher

Dropbox

Sanmina

Dollar Shave Club

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3 years ago

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

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