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Statistics
4 years ago
Let's discuss the terms type I and type II errors when assessing a hypothesis. Which one, in your opinion, is the more severe mistake?
Data Scientist

Dropbox

Scribd

DataRobot

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4 years ago
Behavioral
4 years ago
What is the project you are most proud of? How did it come about?
Data ScientistTechnical Program ManagerSoftware EngineerProduct Manager

Dropbox

Illumina

Articulate

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4 years ago
Statistics
4 years ago
Can you outline the steps you would follow to make inferences from an A/B testing data set and assess the results' significance?
Data Scientist

Dropbox

Blend Logo

Blend

Zalando Logo

Zalando

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4 years ago
ML Knowledge
4 years ago
What do you know about XGBoosting?
Data Scientist

Dropbox

PayPal Logo

PayPal

Zoom Logo

Zoom

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4 years ago
ML Knowledge
4 years ago
Can you suggest effective methods for dealing with highly cardinal categorical data?
Data Scientist

Dropbox

Infineon Logo

Infineon

Pinterest Logo

Pinterest

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4 years ago
Behavioral
4 years ago
How do you describe the progression of a typical Data Science initiative from start to finish?
Data Scientist

Dropbox

Cisco Logo

Cisco

Arm Logo

Arm

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4 years ago
Behavioral
4 years ago
Tell us about some unpleasant feedback that you received?
Data ScientistEngineering ManagerUX DesignerUX Researcher

Dropbox

Sprout Social Logo

Sprout Social

NCR Logo

NCR

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4 years ago
Behavioral
4 years ago
What do you do to earn trust from your team?
Data ScientistEngineering ManagerUX DesignerUX Researcher

Dropbox

Gupshup Logo

Gupshup

RentoMojo Logo

RentoMojo

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4 years ago
Behavioral
4 years ago
Tell me about a situation in you you were challenged when in public.
Data ScientistData Science ManagerML Engineering ManagerData Engineering Manager

Dropbox

Orange Logo

Orange

Nubank Logo

Nubank

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4 years ago
Behavioral
4 years ago
Which 3 personality traits do you think make you a success? In what ways do they align with Dropbox?
Data Scientist

Dropbox

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4 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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