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While data science has been around for a few decades, its usage has picked up in the past decade or so. In the age of big data and analytics, there is a growing need for data scientists. Data science experts need to mine raw data and convert it into actionable insights. The foundation of data science lies in technologies such as machine learning, deep learning, statistics, computer science, data visualization, and data analysis. Here we will take a look at some important data science interview questions that can help you as an interviewer or as an interviewee. You can formulate more data science interview questions or prepare to answer more similar questions using the deck below.
The above data science technical interview questions should help you revisit the fundamental concepts of data science whether as a candidate or as a recruiter. The data science interview questions depend on the experience that the candidate has. However, these fundamental data science statistics interview questions can be asked to new as well as experienced candidates. Apart from these data science technical interview questions, you must also prepare some generic questions about your communication, project management, team management, and time management skills. As a recruiter, you must ensure that you hire a data scientist who is not just proficient with his work but also creates a congenial environment at work.
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