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Product Case
a year ago
Talk me through your rationale for how you would set pricing for riders.
Data Scientist
OpenDoor Logo

OpenDoor

Curve Logo

Curve

Segment Logo

Segment

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a year ago
Behavioral
a year ago
Describe an experience where you led a team.
Data ScientistProgram ManagerFrontend EngineerSite Reliability Engineer
OpenDoor Logo

OpenDoor

Zoho Logo

Zoho

Ironclad Logo

Ironclad

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a year ago
Behavioral
a year ago
Tell me about a time you failed badly and what did you learn from it?
Data ScientistProduct ManagerBackend EngineerTechnical Program Manager
OpenDoor Logo

OpenDoor

JoyTunes Logo

JoyTunes

N26 Logo

N26

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a year ago
Behavioral
a year ago
What are some of your key objectives from the Data Scientist role at OpenDoor?
Data Scientist
OpenDoor Logo

OpenDoor

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a year ago
ML Knowledge
a year ago
What is the difference between CNN and RNN?
Data Scientist
OpenDoor Logo

OpenDoor

Expedia Logo

Expedia

Ubisoft Logo

Ubisoft

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a year ago
Behavioral
2 years ago
If you were able to change something about OpenDoor, what would it be?
Data Scientist
OpenDoor Logo

OpenDoor

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2 years ago
Behavioral
2 years ago
Tell me about a time where you were unpopular thanks to a decision you imposed on your team
Data ScientistSoftware EngineerTechnical Program ManagerBackend Engineer
OpenDoor Logo

OpenDoor

Deliveroo Logo

Deliveroo

Pendo Logo

Pendo

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2 years ago
Statistics
2 years ago
Could you describe the process for estimating the probability of ordering a ride, given a certain set of assumptions? What assumptions are necessary for this calculation? Furthermore, how would you generate a confidence interval for this probability?
Data Scientist
OpenDoor Logo

OpenDoor

Riot Games Logo

Riot Games

N26 Logo

N26

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2 years ago
Metrics and ExperimentationStatistics
2 years ago
What steps do you take to determine the sample size for an A/B test, and what factors do you take into account when deciding whether to implement changes based on the results?
Data Scientist
OpenDoor Logo

OpenDoor

EPAM Systems Logo

EPAM Systems

Ola Logo

Ola

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2 years ago
ML Case
2 years ago
How would you handle normalization and outlier detection in a dataset with 5 behavioral variables and 20 contextual attributes using unsupervised learning techniques? Additionally, what evaluation metrics and visualizations would you employ to determine the accuracy of the model?
Data Scientist
OpenDoor Logo

OpenDoor

Adyen Logo

Adyen

Plaid Logo

Plaid

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2 years ago

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

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