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ML Knowledge
2 years ago
What are some challenges that you have faced while performing Time Series Forecasting, and how did you overcome them?
Data Scientist
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Hopper

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Careem

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GoCardless

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2 years ago
Product Case
2 years ago
Could you explain the method for assessing the retention rate for a product?
Data Scientist
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Hopper

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OpenDoor

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Faire

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2 years ago
ML Knowledge
2 years ago
How does collaborative filtering work within machine learning paradigms?
Data Scientist
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Hopper

NetSuite Logo

NetSuite

Sony Logo

Sony

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2 years ago
ML Knowledge
2 years ago
Can you explain the functional differences between CNNs and RNNs?
Data Scientist
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Hopper

Expedia Logo

Expedia

Ubisoft Logo

Ubisoft

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2 years ago
Behavioral
2 years ago
Tell me about your background in a high-level manner. What is your most relevant experience for Hopper
Data Scientist
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Hopper

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2 years ago
Behavioral
2 years ago
Can you tell me about how you see your career developing over the next five years? How does Hopper fit into this plan?
Data Scientist
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Hopper

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2 years ago
Statistics
2 years ago
Explain what is meant by the terms "parametric" and "non-parametric" in statistics, and describe the key differences between these two approaches?
Data Scientist
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Hopper

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Datadog

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Careem

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2 years ago
Statistics
2 years ago
Do you believe there are any innate properties of a coin that might make it more susceptible to bias?
Data Scientist
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Hopper

Segment Logo

Segment

Curve Logo

Curve

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2 years ago
Statistics
2 years ago
How do you account for the variation between the two groups in an A/B test?
Data Scientist
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Hopper

Dollar Shave Club Logo

Dollar Shave Club

Rivian Logo

Rivian

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2 years ago
Behavioral
2 years ago
Describe your long-term plans and how Hopper aligns with them.
Data Scientist
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Hopper

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2 years ago

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

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