Approaching the quantitative analysts behind Google

Some time ago Xiaobian found a very interesting article, "What Do Statisticians Do At Google?" Author Michael Hochster himself is a Quantitative Analyst (Quantitative Analyst), has worked in the Google search and advertising department have worked for some time, Now in the Google advertising measurement team inauguration. From his analysis, we can find out the most unknown, but also important, group of people within Google - quantitative analysts, statisticians, and data scientists, who are usually doing what?

The following is a full-text translation:

Michael Hochster: Google Quantitative Analyst Google Quantitative Analysts are doing? Of course, do a lot of different things. At Google, Quantitative Analyst is a post titled as a Quantitative Analyst, Statistician, Data Scientist, and more. However, in my opinion, these titles are the same. What it represents is what you need when hiring.

At Google, the biggest area of ​​application of quantitative analysts is in search and advertising. I have worked in both areas. In search, quantitative analysts focus on measuring search quality. In simple terms, the main job of Google engineers is how to make the search better, and the quantitative analyst's job is to figure out whether he is better. I know that the main job of a small team of several PhDs is to make the search better, but internally they are called software engineers.

I am currently working in a medium-sized group with the main direction being Ads Metrics. Many members are well-trained quantitative analysts, but not all. Our job is to create models to help improve advertising services and measure (that is, how to measure whether changing advertising services is a good thing). The measurement project requires not only one-time analysis of the problem, but also the development of tools and processes. Such as the implementation and analysis of large-scale experiments.

There are several other groups, also made up of quantitative analysts. For example: search infrastructure (Google index analysis), economy (forecast), and quantitative marketing (I do not know where this is).

For me, happy statistics answer all kinds of data questions with interest. Google has many interesting challenges, such as a large amount of data, powerful processing tools, this is a very good place for my work.

Written in the end: Michael Hochster loves to share his views, there are many articles here! However, even in China, Quantitative Analysts (Quantitative Analyst) is not a very easy to understand position. The translation of the article is faithful to Michael Hochster's intentions - as the quantitative analyst used to. But the title is still replaced by a more familiar data scientist. Baidu, is it right? Also show you what your data scientists are doing?