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Statistics
4 years ago
Explain the steps you would take to assess the significance of the results and estimate the difference in campaign effectiveness using data from an A/B test.
Data Scientist
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Mozilla

Blend Logo

Blend

Zalando Logo

Zalando

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4 years ago
Statistics
4 years ago
Can you define heteroscedasticity for me?
Data Scientist
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Mozilla

Paytm Logo

Paytm

LogMeIn Logo

LogMeIn

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4 years ago
Coding
4 years ago
How would you go about computing the confidence intervals for a mean in Python.
Data Scientist
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Mozilla

Splunk Logo

Splunk

Google Logo

Google

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4 years ago
Behavioral
4 years ago
I would like to know a time when you took ownership
Data ScientistTechnical Program ManagerSoftware EngineerProduct Manager
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Mozilla

ApplyBoard Logo

ApplyBoard

Naspers Logo

Naspers

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4 years ago
ML Knowledge
4 years ago
How do you identify and rectify multicollinearity in your datasets?
Data Scientist
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Mozilla

Nuro Logo

Nuro

ClassPass Logo

ClassPass

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4 years ago
Behavioral
4 years ago
Tell me about a time you've had to change the way you work.
Data ScientistData Science ManagerML Engineering ManagerData Engineering Manager
Mozilla Logo

Mozilla

Hulu Logo

Hulu

Asana Logo

Asana

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4 years ago
Statistics
4 years ago
Have you ever encountered a coin that you suspected to be biased? If so, what gave it away?
Data Scientist
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Mozilla

Segment Logo

Segment

Curve Logo

Curve

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4 years ago
ML Knowledge
4 years ago
Can you explain the consequences of overfitting and underfitting in real-world situations? Could you provide some examples that demonstrate when either of these might happen?
Data Scientist
Mozilla Logo

Mozilla

DigitalOcean Logo

DigitalOcean

Bill.com Logo

Bill.com

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4 years ago
Behavioral
4 years ago
What are some of your key objectives from the Data Scientist role at Mozilla?
Data Scientist
Mozilla Logo

Mozilla

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4 years ago
Product Case
4 years ago
Can you walk me through your sales forecasting technique for brands?
Data Scientist
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Mozilla

Noom Logo

Noom

StubHub Logo

StubHub

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4 years ago

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

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