How to get a job at Google — as a data scientist

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by SEAN GERRISH

In case you are a daily at this weblog, thanks for studying. We are going to proceed to carry you posts from the vary of information science actions at Google. This submit is completely different. It’s for many who have an interest sufficient in our actions to think about becoming a member of us. We briefly spotlight among the issues we search for in information scientists we rent at Google and provides tips about methods to organize.
At Google we’re at all times on the lookout for gifted individuals, and we’re occupied with hiring nice information scientists. It’s not straightforward to search out individuals with sufficient ardour and expertise. On this quick submit, I’ll speak about how one can get a job at Google as an information scientist.

As you will have heard, the interviews at Google may be fairly robust. We do set our hiring bar excessive, however this submit offers you steerage on what you are able to do to organize.

Know your stats.

Math like linear algebra and calculus are roughly anticipated of anybody we’d rent as an information scientist, and we search for individuals who stay and breathe likelihood and statistics. Promising candidates may have the equal of a minimum of three or four programs in likelihood, statistics, or machine studying — something past that’s icing on the cake. It is best to have the ability to ace the homework and exams in your likelihood and stats programs — a lot of our information scientists have really taught these programs earlier than coming to Google. There are just a few websites on the market, comparable to stats.stackexchange.com, on which you will discover some nice questions and discussions to develop your statistical expertise.

Something lower than that may very well be supplemented with programs in technical fields comparable to pc science, economics, or engineering. Unique analysis can even assist.

Get real-world expertise.

Display that you just’ve had expertise engaged on real-world information. Developing with a brand new regression estimator for just a few UCI datasets is sweet, however these datasets are sometimes used for evaluating strategies, not for getting real-world expertise. We actually wish to see one thing that demonstrates that you just’ve had an opportunity to get your fingers soiled on actual information, and many it. This implies you’ve frolicked amassing your personal information, cleansing it, sanity-checking it, and making use of it.

Write a script to drag information from one in every of Google’s public APIs and write a weblog submit about what you’ve discovered. Use an online scraper to scrape just a few hundred thousand net pages and match some matter fashions to create a information advice engine. Write an app in your telephone that tracks your utilization and analyze that. Be inventive!

Spend time coding.

We don’t anticipate all our information scientists to be hardcore engineers, however we make certain everybody we rent is able to coding. The easiest way to show that is to know how one can code forward of time. More and more, our candidates level us to GitHub for examples of their coding expertise. We’ll sometimes anticipate that you just’ve already turn into acquainted with scripting languages like Python and SQL and a number of numerical languages like R, Julia, Matlab, or Mathematica. Bonus factors for figuring out a compiled language like C++ or Java. For those who’d wish to study extra coding, take a look at Khan Academy or different coding sources.

Be passionate.

The simplest strategy to obtain the above standards is to be enthusiastic about some information science drawback! Maybe you’ve spent just a few years learning some drawback for which information offers a pure answer. Maybe you’ve written code to interface with public APIs, from Google or in any other case. Ideally you’re passionate not simply concerning the methodology used to border the issue, but in addition the issue itself.

Observe that you’ve a number of choices.

At Google, information scientists could also be employed on one in every of a number of job ladders. In case your expertise skews towards the engineering facet, chances are you’ll wish to pursue the usual software engineer monitor and ask for a extra analytical function — if it skews in the direction of numbers, chances are you’ll wish to pursue the quantitative analyst monitor. In a submit in a while, we would define among the variations between the 2 tracks inside Google Engineering. Moreover these, there are different jobs calling for information scientists in Gross sales Ops, Advertising and Individuals Ops. Be at liberty to take a look at job postings at http://www.google.com/about/careers/.

Better of luck with the method!

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