Uber Data Scientist Mock Interview
Practice 30 Uber Data Scientist interview questions covering experimentation, machine learning, and product analytics.
Question 22 of 30
What is a decision tree, and how would you use this in your job as a data scientist here at Uber?
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William Swansen has worked in the employment assistance realm since 2007. He is an author, job search strategist, and career advisor who helps individuals worldwide and in various professions to find their ideal careers.
Data scientists use various tools and methodologies to accomplish their tasks and ensure the results they produce are accurate. You should be able to discuss these with authority during your Uber interview for a data scientist job. You may have also recognized this as a technical question. This is a typical structure of a technical question - asking you to define a term and provide an example of how it is used in your profession. Your answer should address the definition first, then provide an example of how you would use this item in your job.
William Swansen has worked in the employment assistance realm since 2007. He is an author, job search strategist, and career advisor who helps individuals worldwide and in various professions to find their ideal careers.
"Decision trees are graphical models used to illustrate the options available and the choices made during a decision process. A decision tree is intuitive and easy to build. However, it lacks accuracy, so it should only be used to illustrate the process. Like a tree, it begins with a base or trunk and then grows. Each decision option is called a node. The last decision options are at the top of the tree and are known as leaves."
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