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Coding
a year ago
How would you leverage the use of a hash table to tackle the two sum problem in O(n) time complexity?
Data Scientist

Lyft

Spotify

Teradata

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a year ago
Analytics Case
a year ago
Average ETA has increased according to our metrics. What steps would you take to analyze this? What alternative randomization units can be used in place of individual users?
Data Scientist

Lyft

Zomato Logo

Zomato

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a year ago
Statistics
a year ago
You have the option to roll another die and relinquish your previous winnings. When should you take advantage of the second chance?
Data Scientist

Lyft

trivago Logo

trivago

Marqeta Logo

Marqeta

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a year ago
Statistics
a year ago
What statistical methods would you use to determine the fairness of a coin?
Data Scientist

Lyft

Ola Logo

Ola

Autodesk Logo

Autodesk

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a year ago
ML Knowledge
a year ago
Share your experience with any machine learning model and provide an explanation of its algorithm.
Data ScientistMachine Learning Engineer

Lyft

BuzzFeed Logo

BuzzFeed

Andela Logo

Andela

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a year ago
Behavioral
a year ago
What would you do if your coworker never showed up for a scheduled meeting on time?
Data ScientistProgram ManagerFrontend EngineerFull Stack Software Engineer

Lyft

SailPoint Logo

SailPoint

Flexport Logo

Flexport

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a year ago
ML Knowledge
a year ago
What are the advantages and limitations of using DBSCAN?
Data Scientist

Lyft

Mozilla Logo

Mozilla

Fitbit Logo

Fitbit

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a year ago
Statistics
a year ago
Find the likelihood of selecting one red ball and one blue ball consecutively without returning the first pick, when there are 4 red balls and 2 blue balls available.
Data Scientist

Lyft

Anaplan Logo

Anaplan

HelloFresh Logo

HelloFresh

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a year ago
Analytics Case
a year ago
Suggest a few indicators to evaluate whether a city is running at over/under/normal capacity?
Data Scientist

Lyft

Zomato Logo

Zomato

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

Lyft

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a year ago

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

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