Uber Data Scientist Mock Interview

Practice 30 Uber Data Scientist interview questions covering experimentation, machine learning, and product analytics.

WRITTEN BY WILLIAM SWANSEN
QUESTION 11 OF 30

Data visualization is an important skill that will be used often here at Uber when communicating results with stakeholders. Describe to me one of your most innovative data visualization ideas that went beyond pie and bar charts.

Data Science and analysis of complex data sets is a very technical discipline. However, Uber's stakeholders who use the results of the analysis need to be able to clearly understand what the data is telling them and use it to improve their operations and help them make business decisions. You need to present your work in a manner that is easy to understand and utilize. This is known as data visualization. The Uber interviewer is seeking to understand how you organize and present the data to accomplish this objective.

"While the process of analyzing data is important, it is critical that the results of the analysis be useful to the stakeholders here at Uber. It is important to understand what the stakeholder's objectives are when deciding how to present my results. One method I've found to be effective is to add graphs, pictures, and illustrations to my presentations and reports. Once, when presenting an analysis of customer usage trends for a product our organization sold, I incorporated images of the product and animated them to expand in size relative to the growth in customer adoption, adding the statistics and actual growth numbers. The audience remarked about how clear this made the information."

William Swansen
30 QUESTIONS & ANSWERS · UBER, INC.
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