Interview with Nick Chamandy, statistician at Google:

Nick Chamandy received his M.S. in statistics from the University of Chicago, his Ph.D. in statistics at McGill University and joined Google as a statistician. We talked to him about how he ended up at Google, what software he uses, and how big the Google data sets are.

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NC: I usually use the term Statistician, but at Google we are also known as Data Scientists or Quantitative Analysts. All of these titles apply to some degree. As with many statisticians, my day to day job is a mixture of analyzing data, building models, thinking about experiments, and trying to figure out how to deal with large and complex data structures. When posting job opportunities, we are cognizant that people from different academic fields tend to use different language, and we don’t want to miss out on a great candidate because he or she comes from a non-statistics background and doesn’t search for the right keyword. On my team alone, we have had successful “statisticians” with degrees in statistics, electrical engineering, econometrics, mathematics, computer science, and even physics. All are passionate about data and about tackling challenging inference problems.
Good read if you’re interested about data analytics at scale.

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