Where the STEM Jobs Are (and Where They Aren’t)
nytimes.com
nytimes.com
Then to avoid being marked as native advertising, it adds info about data sciences division at University of California, Berkeley. The article then ends abruptly without having a satisfying conclusion.
Is it just me or we can't seem to get lot of infomration from the media without some kind of covert advertisement in between?
Almost all news is paid for outside of current events and politics (although those sections are biased by the editorial room). Pay enough money and you’ll get into the NYT, it just takes the right PR agency to pitch the story correctly.
http://www.hamiltonproject.org/charts/median_earnings_for_la...
What Brookings/Hamilton observes ... and the NYT overlooks ... is that lots of people with STEM majors find work in relevant fields that happen to be classified in irrelevant ways. For example, math majors tend to show up as financial analysts, actuaries, high school math teachers, etc.
There's a lot of quant work on Wall Street these days, all of which is classified as financial sector work, even though it's STEM-intensive and miles away from gabbing about mutual funds with retirees.
Your experience also might be skewed if you are a “software engineer” which in many places today is abused as a title both in education and in the job market, same goes for computer science degrees.
In too many places SE and CS share nearly an identical program which traditionally wasn’t the case and with a very lackluster focus on the engineering part as too many people equate programming with software engineering.
It appears that in spite of the much touted shortage given as the reason the H1-B program must be expanded that the number of graduates for every field far exceeds the number of job openings except for computer science - where it is roughly the same. Where are these underemployed STEM graduates going - the article points to STEM graduates who gave up on academic careers/paths to go into computer programming/data analysis.
Political problems mean that I can't go to California for work, so now I'm working for a tech company in Taiwan.
My boss asked me to do data science courses that seem similar to those advertised in the article, but despite learning the concepts, I haven't had any new interesting projects because of it. I'm personally more interested in hardware design and backend programming, which isn't as "trendy" as machine learning. Even if I could get a job more easily doing statistics and making pretty graphs for board meetings, I don't think I'd enjoy it as much as soldering together a little gadget.