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ML Knowledge
a year ago
What is the discrepancy between the overviews of Logistic Regression and SVM?
Data Scientist

Robinhood

Bosch Logo

Bosch

Zomato Logo

Zomato

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a year ago
ML Knowledge
a year ago
How do you make sure that your anomaly detection system can handle data sets with a wide variety of variables and dimensions?
Data Scientist

Robinhood

Teradata Logo

Teradata

ASML Logo

ASML

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a year ago
Statistics
a year ago
Given four consenting adults on an elevator in a four-story building, what is the probability that they will each get off on a different floor?
Data Scientist

Robinhood

Snap Logo

Snap

Rivian Logo

Rivian

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a year ago
Behavioral
a year ago
Discuss a conflict you had with your manager.
Data ScientistTechnical Program ManagerSoftware EngineerBackend Engineer

Robinhood

Nuro Logo

Nuro

Sendbird Logo

Sendbird

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a year ago
Behavioral
a year ago
What would be your ideal team to join in Robinhood
Data Scientist

Robinhood

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a year ago
ML Knowledge
a year ago
With regards to bagging and boosting in machine learning, could you define the distinction and elucidate how they affect bias and variance?
Data Scientist

Robinhood

Peloton Logo

Peloton

Niantic Logo

Niantic

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a year ago
Behavioral
a year ago
Please share the lessons you learned from a major work failure.
Data ScientistData Science ManagerEngineering ManagerUX Designer

Robinhood

Blackbaud Logo

Blackbaud

Seagate Logo

Seagate

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a year ago
Behavioral
a year ago
In your opinion, what are some of the key success indicators for someone in the Data Scientist role?
Data Scientist

Robinhood

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a year ago
Behavioral
a year ago
Are your experience and values aligned with those of Robinhood?
Data Scientist

Robinhood

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a year ago
ML Knowledge
a year ago
What principles or guidelines do you follow when choosing an algorithm for a machine learning challenge?
Data Scientist

Robinhood

Springboard Logo

Springboard

Huawei Logo

Huawei

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a year ago

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

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