Data Scientist interview questions: Data scientists are more than simply data analysts, in that they understand how studying some data could lead to an important decision that can enhance a product or improve a business. Moreover, skilled data scientists can effectively gauge the complexity of a particular approach to a problem. They can propose alternative solutions to a given task depending on the available time and resources, thus allowing them to whip up a simple but functional approach with short notice and implement a more elaborate design under a larger time frame. These interview questions for data scientists will consider both a candidate’s background in computer science and the specific skills that suit them for the role.
The data scientist role that emphasizes coding targets candidates with strong software engineering skills that understand the tools, processes, and exigencies of creating and maintaining software that will be deployed to production. This type of data scientist has solid programming skills in a programming language such as C++, Java, or Scala, is very knowledgeable in databases, and will have worked with platforms for deploying machine learning solutions in the real world such as Azure ML or PredictionIO. In addition, a frequent requirement of the role is experiences in working with big data and platforms such as Apache Spark and Hadoop. The ideal background for this type of role data scientist is computer science, but candidates with engineering and mathematical backgrounds sometimes develop strength in practical software engineering skills to arrive at this role.