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ML Knowledge
4 years ago
Can you discuss how cross-validation is used to evaluate the performance of a machine learning model?
Data Scientist

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Walmart

Ancestry

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4 years ago
ML Knowledge
4 years ago
In your opinion, what is the most crucial aspect of detecting an anomaly in a system or data set?
Data Scientist

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Teradata

ASML

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4 years ago
Data Visualization
4 years ago
Can you describe methods for multi-dimensional data visualization?
Data Scientist

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Sprout Social Logo

Sprout Social

SwiftKey Logo

SwiftKey

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4 years ago
Behavioral
4 years ago
Tell me of a time when you had a lot of competing priorities and how you coped with them.
Data ScientistData Science ManagerML Engineering ManagerEngineering Manager

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Medium Logo

Medium

WeTransfer Logo

WeTransfer

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4 years ago
Statistics
4 years ago
Imagine I've selected a card from a deck. What's your chance of guessing correctly? Would you ask if it's red or a face card to better your chances, and which is the wiser question?
Data Scientist

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LinkedIn Logo

LinkedIn

McAfee Logo

McAfee

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4 years ago
Statistics
4 years ago
How do you remove bias from a given data set?
Data Scientist

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Flexport Logo

Flexport

Yandex Logo

Yandex

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4 years ago
ML Knowledge
4 years ago
How do you explain the distinction between bias and variance in machine learning?
Data Scientist

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Avito Logo

Avito

Mastercard Logo

Mastercard

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4 years ago
Big Data
4 years ago
Can you explain what MapReduce is and how it works?
Data Scientist

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SurveyMonkey Logo

SurveyMonkey

Bill.com Logo

Bill.com

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4 years ago
ML CaseProduct Case
4 years ago
How would you craft a recommendation service that reflects a user's auditory preferences, and what historical listening details would you leverage?
Data Scientist

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Productboard Logo

Productboard

Shopee Logo

Shopee

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4 years ago
Statistics
4 years ago
Can you walk me through the math for the maximum likelihood estimation of heads in coin tosses?
Data Scientist

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Databricks Logo

Databricks

Course Hero Logo

Course Hero

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4 years ago

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

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