Uber Data Scientist Mock Interview
Practice 30 Uber Data Scientist interview questions covering experimentation, machine learning, and product analytics.
Question 7 of 30
Describe to me a data project you worked on in the past that you would do differently with the knowledge/experience you have acquired up to this point and/or new technology that was not available at the original time of the project.
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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.
This is a Behavioral question, which the Uber interviewer uses to determine how you dealt with a specific issue in the past and how you would deal with it if you reencountered it working for Uber. Behavioral questions are best answered using the STAR format. This stands for Situation, Task, Action, and Results. Using this format helps you organize your answer and lead the interviewer through your story systematically.
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.
"In my current position, we performed analysis on a large set of data to determine why the company didn't achieve the results they expected from a major initiative they had implemented (Situation). Management had a hypothesis and expected the analysis to confirm this (Task). We completed the analysis, but the data led us to reach a different conclusion (Action). My colleagues and I repeated the analysis but used a modified data set and different analytical tools, and this time the results matched the original assumptions. However, when management implemented changes based on this study, the results were the same as before (Results). What I learned is to be true to the methodology and let the results speak for themselves so the problem can be accurately identified and addressed."
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