Popular data science jobs for Gen Z
Ten years ago, jobs in journalism, law, engineering, and medicine were coveted. A new “hot” option has now taken over. data science jobsIt’s one of the fastest growing key areas of the last decade thanks to the sheer amount of data companies create and store every day.
according to U.S. Bureau of Labor Statistics, there is a high demand for graduates who can report data and draw conclusions from it. Computer and information research jobs such as data scientists twenty two% during the year 2020 and 2030.
Glassdoor reports that for the past seven years in a row, data scientists have enjoyed being in the top three. 50 Best Jobs in AmericaThe secret to its success? Median base salary US$120,000, 4.1 out of 5 job satisfaction ratings, and more 10,000 Jobs available in the US only.
Why Gen Z wants a data science job
This fast-growing sector is a top pick for Generation Z (those born between 1997 and 2012). Competitive salary and flexibility Regarding work. It’s a well-known fact that technical jobs are the highest-paying, but many people tend not to take up computer science in college because of its reputation as one of the college hexes. . Hardest college major there.
new Glassdoor Report Generation Z found data science jobs to be one of the most satisfying careers. Younger workers show a strong preference for more creative roles, but data scientist jobs rank second for him. 4 — There is only one IT specialist job in the top 10.
Richard JohnsonAs Associate Economist at Glassdoor told Fortune: So there is no doubt that these factors are attractive to young workers starting their careers. ”
Johnson added that the data scientist Doesn’t necessarily have to be in the office, which also contributes to its popularity among Gen Z. “In some ways, the data scientist job can be viewed as the ‘creative technology’ role on this list. ”
How to become a data scientist
As with most technical jobs, data scientists are expected to formal education and training. The first thing you should check is data science degreeYou usually have to prove that you have the skills to do the job, and nothing beats your academic background. Although not required, it can give you an advantage when competing with others for the same position.
Data scientists use several programming languages and software to complete their tasks. So the next thing you should check off your list is sharpen your hard data skills. To do this, take an online course or enroll in a bootcamp. Python, R, SQL, or SASThese are the most widely used programming languages and should be familiar with.
On top of that, you should be able to communicate your findings in a simple way. Without this particular soft skill, all the data we analyze and review cannot be translated in a clear and concise manner to non-specialists.Being able to create charts and graphs is also an important part of being a data scientist, so get ready to master it Tableau, PowerBI, and Excel.