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Product CaseStatistics

10 months ago

How would you account for the variability in coupon usage when calculating the expected spend for N users with a 5$ coupon?

Data Scientist

Amazon

Deliveroo

Booking.com

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10 months ago

SQL

10 months ago

Suppose you have a SQL table called messages with fields id, sender_id, receiver_id, and message. What query would you use to extract the distinct communicators?

Data Scientist

Amazon

Yandex

Deloitte

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10 months ago

Behavioral

10 months ago

Please tell me about a time when you were challenged while in public.

Data ScientistData Science ManagerML Engineering ManagerData Engineering Manager

Amazon

Orange

Nubank

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10 months ago

Behavioral

10 months ago

What are your strategies for earning your team's trust?

Data ScientistEngineering ManagerUX DesignerUX Researcher

Amazon

Gupshup

RentoMojo

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10 months ago

Behavioral

a year ago

What are the steps to earning trust in a team?

Data ScientistData Engineering ManagerEngineering ManagerUX Designer

Amazon

Western Digital

FleetSmith

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a year ago

Behavioral

a year ago

In the event that you are offered a position at Amazon, how long do you expect to stay?

Data Scientist

Amazon

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a year ago

Behavioral

a year ago

Explain one of the processes you learned/developed during your previous job, which you believe will prove valuable in your future position with Amazon

Data Scientist

Amazon

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a year ago

Statistics

a year ago

How would you differentiate likelihood and probability?

Data Scientist

Amazon

LendingClub

NetApp

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a year ago

Statistics

a year ago

In logistic regression, if two predictors are highly correlated, what impact does this have on the estimates of the regression coefficients and their confidence intervals?

Data Scientist

Amazon

Zomato

Palo Alto Networks

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a year ago

Product Case

a year ago

How to calculate retention rate for a product?

Data Scientist

Amazon

OpenDoor

Faire

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a year 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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