Crucial roles do still exist and will continue to be in demand for the foreseeable future. However, they are morphing a bit into more refined skill sets and job definitions from what we saw earlier in the industry. Take a look at what those roles look like now.
Consumers can use Labor 411's searchable website to pinpoint, by neighborhood, where their shopping dollars can support living-wage companies and avoid retailers that do not treat workers well.
DataFest, an annual month-long data-analytics competitive event sponsored by the American Statistics Association, aims to improve college undergraduates' skills in analytics and drive innovation by allowing contestants to race on real industry data. This year the big data was all automotive, from car shopping powerhouse Edmunds.com.
Looking for a female speaker for your next conference, or for an expert source on analytics who is also a woman? Meta Brown published a booklet today on 262 women who have literally written the book on any analytics related topic you can think of.
Yes, data scientists are still very much sought after and that will be true for several years. But this post is about four other types of big data jobs that are now also hot.
The report finds that an alarming number of companies are unable to identify emerging risks ranging from cyberthreats to geopolitical developments, global health threats, and social media due to a shortage of skilled internal auditors.
After Patricia Arquette gave an acceptance speech at the Oscars addressing income disparity, Rhiza decided to focus its Rhiza Ratio project on income disparity between genders nationwide for those making less than $25,000 a year. Here's what their analysis revealed.
Check out the seriously cool stuff that electrical and computer engineers have created so far in this infographic by Ohio University's Esteemed Russ College of Engineering and Technology.
Yes, data scientists are the sexiest beings on the planet but that doesn't mean they get the superstar treatment they deserve--frustrations are high. Everyone wants big data but they don't understand it, yet they try to manage the data scientists. It would be funny if it weren't so darn destructive.
Alarmed at the number of jobs that are (and will be) eliminated by automation?