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Coding
a year ago
Can you explain why an LRU cache might be useful in a program?
Data Scientist

Zalora

BuzzFeed

Samsara

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a year ago
ML Knowledge
a year ago
Can you walk us through the process of Support Vector Machine?
Data Scientist

Zalora

Hitachi Logo

Hitachi

eBay Logo

eBay

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a year ago
Product Case
a year ago
How do you assess if a product is doing well or not based on its retention rate?
Data Scientist

Zalora

OpenDoor Logo

OpenDoor

Faire Logo

Faire

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a year ago
Statistics
a year ago
Could you delineate between normal and Poisson distributions and their distinctive properties?
Data Scientist

Zalora

InVision Logo

InVision

Andela Logo

Andela

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a year ago
Behavioral
a year ago
How did you handle a task where you had a deadline and couldn't meet it?
Data ScientistTechnical Program ManagerSoftware EngineerML Engineering Manager

Zalora

Decathlon Logo

Decathlon

NVIDIA Logo

NVIDIA

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a year ago
Behavioral
a year ago
What do you know about Zalora?
Data Scientist

Zalora

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a year ago
ML Knowledge
a year ago
Provide examples of real-world scenarios where overfitting and underfitting might occur, and explain the consequences of each for model performance and accuracy
Data Scientist

Zalora

DigitalOcean Logo

DigitalOcean

Bill.com Logo

Bill.com

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a year ago
SQL
a year ago
Is it true that subqueries tend to be slower in execution than joins?
Data Scientist

Zalora

trivago Logo

trivago

eToro Logo

eToro

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a year ago
Coding
2 years ago
How would you go about coding a function that can locate the anagrams within a list of words?
Data Scientist

Zalora

Swiggy Logo

Swiggy

Riot Games Logo

Riot Games

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2 years ago
SQL
2 years ago
Determine the average order value for customers located in the United States who have made 3 or more orders within the last month, using data from the "orders" and "customers" tables. Use a join operation in your query.
Data Scientist

Zalora

Rakuten Logo

Rakuten

Citrix Logo

Citrix

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2 years ago

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

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