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Statistics
2 years ago
What is the maximum likelihood of getting k heads when you tossed coin n times? Explain the math behind it.
Data Scientist

Amazon

Databricks

Course Hero

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2 years ago
ML Knowledge
2 years ago
What are some key factors you consider when choosing between Lasso and Ridge regression?
Data Scientist

Amazon

Riot Games Logo

Riot Games

Swiggy Logo

Swiggy

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2 years ago
ML Knowledge
2 years ago
How would you choose between Lasso and Ridge regression for a particular problem?
Data Scientist

Amazon

Riot Games Logo

Riot Games

Swiggy Logo

Swiggy

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2 years ago
Statistics
2 years ago
What is the significance of the terms parametric and non-parametric in data analysis, and how do these approaches diverge in their underlying assumptions and methodologies?
Data Scientist

Amazon

Datadog Logo

Datadog

Careem Logo

Careem

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2 years ago
SQL
2 years ago
How do you decide when to use a left join as opposed to a right join in SQL?
Data Scientist

Amazon

Meta Logo

Meta

Zomato Logo

Zomato

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2 years ago
Analytics Case
2 years ago
Can you explain what you would do if there was a decrease of 15% in the number of notifications being sent?
Data Scientist

Amazon

Slack Logo

Slack

HubSpot Logo

HubSpot

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2 years ago
Analytics Case
2 years ago
What factors do you consider when forecasting a user's lifetime value?
Data Scientist

Amazon

Mozilla Logo

Mozilla

Twilio Logo

Twilio

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2 years ago
Behavioral
2 years ago
If you were to get the Data Scientist job, how would you improve Amazon?
Data Scientist

Amazon

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2 years ago
ML Knowledge
2 years ago
How do confusion matrix and ROC curve tools differ in their use for model evaluation, and when is each preferable?
Data ScientistMachine Learning Engineer

Amazon

Udacity Logo

Udacity

Splunk Logo

Splunk

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2 years ago
Statistics
2 years ago
There are 4 red balls and 2 blue balls, what's the probability of them not being the same in the 2 picks?
Data Scientist

Amazon

Anaplan Logo

Anaplan

HelloFresh Logo

HelloFresh

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2 years ago

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

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