As a data scientist, going into an interview can be a daunting task. Google is a great place to work and even better if you make it through their rigorous interview process – but to get there, you must prepare.
Research Company: Before the interview day arrives, you should research the company thoroughly. Knowing what they do, who they are and their latest news in the industry will give your insight into how their data science team works. This additional knowledge can also help make your answers seem more informed during the job interview.
Prep Questions: You should prepare yourself for questions that may come up during the interview by researching common Google Data Scientist Interview questions beforehand. Think about potential types of questions and practice answering them so that when the time comes, you’ll be ready with an informed response.
Data Science Skills: Before your discussion with recruiters or hiring managers ask yourself “what skills am I proud of?” Make sure you’re well versed in relevant technologies; this could include machine learning techniques such as Bayesian networks or neural networks, as well as programming languages like Python and R, or big data systems like Hadoop or Spark. Being able to quickly break down complex problems into understandable chunks will also demonstrate how well rounded your skillset is as a data scientist.
Technical Skills: Technical skills are important in any role but especially so when it comes to a Data Scientist role at Google where you will have to design experiments and create models from disparate data sets using advanced statistics, programming languages and toolsets.
Source: Google Data Scientist Interview Questions
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