Data Scientist
This professional Data Scientist, is a very attractive area for many people. Since it comes with many key advantages such as good salary, intellectual challenges, etc. and multiple companies are competing for few available candidates.
If we have to explain three programming languages, data scientists most frequently use, these would be Python, R and SQL. Other than these 3, there's one popular coding language Java. This will give people the interest to learn about data science career and where to focus. Python appears to be the data scientist’s preferred tool for data processing and problem solving. Since Python established itself as the industry’s coding language of choice. Few years ago, as data science had just emerged, companies were recruiting professionals with different backgrounds and training them in-house. As a result, relatively junior candidates were hired for senior data scientist roles.
The idea that experience plays a bigger role in recruiting is reinforced by the finding that the average data scientist professional has been in the workforce for 8.5 years not like the previous requirement of working experience of 4.5 years. Therefore, one needs to accumulate the necessary working experience in an analytical position before they are ready for a data scientist job title.
In terms of education, the large majority of current data scientists have a Bachelor’s degree or higher. Out of those, who holds a Master’s degree and some with a Ph.D. We can say that a person needs to aim at a second cycle academic degree; however, it is also true that a Bachelor’s can get you the job, as long as you have the technical skills and preparation required. In general, 19 out of 20 data scientists have a university degree, but what area of studies did they pursue? Which degrees improve a candidate’s chances of becoming a data scientist? These are the questions every interested person need to understand and focus before going to become a Professional Data Scientist.