The role of Data Scientist calls for a unique blend of skills. The job requires them to solve problems by extracting information from the available data, communicate the results and persuade others to apply that information while making important business decisions.
When it comes to hiring for the position of a Data Scientist, an ideal candidate is the one with an exceptional skill-set spanning across math/statistics, programming/databases, and business.
Quantitative analysis alone doesn’t suffice for the role of a Data Scientist, hence you must look beyond technical skills and probe into their logical reasoning agility and ability to solve problem iteratively. Domain experience, experience working in collaboration with business analysts and decision makers, and communication skills thus become equally important.
Here is a list of data scientist (coding) interview questions that will help you evaluate the candidates’ skills.
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