Uber Data Scientist Mock Interview

To help you prepare for your Uber job interview, here are 30 interview questions and answer examples.

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Question 2 of 30

A a Data Scientist, how do you employ statistics to analyze data and develop business recommendations?

How to Answer
Answer Example

Data Scientists use a variety of tools, statistics being one of the most used and commonly employed. An interviewer will ask this question early in the interview to set the stage, learn more about your skills and experience, and guide you toward other, more specific questions. Keep this in mind when responding to this question because it will provide you with the opportunity to move the interview in a direction that you are comfortable with and can easily address.

"Statistics is probably one of the strongest tools a Data Scientist has in their arsenal. It helps us to identify patterns, find hidden insights, and quickly analyze large data sets. Statistics provide information about consumer behavior, interests, engagement, and other aspects of the shopping and purchase process. They also allow for the rapid development of models that validate assumptions and inferences."

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How to Answer: A a Data Scientist, how do you employ statistics to analyze data and develop business recommendations?

Advice and answer examples written specifically for an Uber job interview.

2. A a Data Scientist, how do you employ statistics to analyze data and develop business recommendations?

How to Answer

Data Scientists use a variety of tools, statistics being one of the most used and commonly employed. An interviewer will ask this question early in the interview to set the stage, learn more about your skills and experience, and guide you toward other, more specific questions. Keep this in mind when responding to this question because it will provide you with the opportunity to move the interview in a direction that you are comfortable with and can easily address.

Answer Example

"Statistics is probably one of the strongest tools a Data Scientist has in their arsenal. It helps us to identify patterns, find hidden insights, and quickly analyze large data sets. Statistics provide information about consumer behavior, interests, engagement, and other aspects of the shopping and purchase process. They also allow for the rapid development of models that validate assumptions and inferences."

Next Question