It is a well-known fact that data scientist is among the most sought-after professions of the 21st century. With the abundance of raw data, which is only increasing by the day, companies are excessively looking for professionals capable of crunching numbers and extracting valuable information from them.Of course, the perks of this job are second to none - you get a fancy title, excellent salary, and a chance to grow your career in one of the most advancing fields of our time. However, it is important to note that not everyone is equipped to meet these demands. In the US alone, there is a 50% gap between the supply and demand of data science professionals, with the demand set to increase further.It is because most of the time, the applicants are not equipped to fulfill the criteria for these types of positions. Whether it is the lack of skills or domain knowledge, companies are not willing to compromise when it comes to these. With that in mind, we have prepared this quick, handy guide of 7 factors that companies consider when hiring a data scientist.Proficiency
in CodingAs a data scientist, you will be handling a plethora of data that simply cannot ...
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