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Behavioral
3 years ago
Let me know about a time when you had to act quickly.
Data ScientistFrontend EngineerProgram ManagerFull Stack Software Engineer

Chime

MasterClass

Marketo

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3 years ago
Statistics
3 years ago
Explain the difference between the frequentist and Bayesian approach to probability. How would you decide which approach to use in a given situation?
Data Scientist

Chime

Noom

Bloomberg

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3 years ago
Behavioral
3 years ago
I want to know an example of when you failed at work.
Data ScientistTechnical Program ManagerSoftware EngineerML Engineering Manager

Chime

Capital One Logo

Capital One

TuSimple Logo

TuSimple

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3 years ago
ML Knowledge
3 years ago
What are some techniques used to reduce dimensionality, and how are they applied in Machine Learning?
Data Scientist

Chime

Walmart Logo

Walmart

Viber Logo

Viber

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3 years ago
ML Knowledge
3 years ago
In your opinion, which applications of tf-idf are the most successful in text mining, and why?
Data Scientist

Chime

Faire Logo

Faire

Ola Logo

Ola

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3 years ago
Behavioral
3 years ago
Please tell me about a time when you disagreed with a boss or an executive
Data ScientistData Science ManagerML Engineering ManagerEngineering Manager

Chime

Corning Logo

Corning

DrChrono Logo

DrChrono

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3 years ago
Coding
3 years ago
In your experience, how do you go about finding the largest total within a contiguous subarray?
Data Scientist

Chime

Course Hero Logo

Course Hero

Deloitte Logo

Deloitte

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3 years ago
Coding
3 years ago
Write a function to find all the anagrams of a given string.
Data Scientist

Chime

Lattice Logo

Lattice

Pandora Logo

Pandora

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3 years ago
Behavioral
3 years ago
How do you envision yourself in the next 5 years?
Data ScientistEngineering ManagerUX DesignerUX Researcher

Chime

DoorDash Logo

DoorDash

Instana Logo

Instana

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3 years ago
Behavioral
3 years ago
Describe a work failure that taught you a lot.
Data ScientistData Science ManagerEngineering ManagerUX Designer

Chime

Blackbaud Logo

Blackbaud

Seagate Logo

Seagate

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3 years ago

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