Written by: Gary Read
We talk about artificial intelligence (AI), robots, and machine learning as if they’re coming soon, or are just some tech pipe dream. They’re not. They’re Read more
Import.io exhibited at the Gartner Data & Analytics conference this week in Grapevine, TX as part of the British Consulate’s booth. After talking with attendees Read more
According to research conducted by Gartner, “Big data investments continue to rise but are showing signs of contracting.” The company’s most recent survey found that Read more
The popularity of data in business is rising, and with it, the abundance of data-related jobs. In any given day you might chat to the Read more
Kaggle has become the premier Data Science competition where the best and the brightest turn out in droves – Kaggle has more than 400,000 users Read more
Now that the Data Scientist is officially the sexiest job of the 21st century, everyone wants a piece of the pie.
That means there are a few data posers out there. People who call themselves Data Scientists, but who don’t actually have the right skill set.
This isn’t always done out of a desire to decieve. The newness of data science and lack of a widely understood job description means that many people may think they are data scientists purely becuase they deal with data.
There are currently 11,400 data scientists worldwide and 52% of them earned that title within the past 4 years. Where are they coming from? Where are they working? What did they do to get here?
Based on a massive study done by RJMetrics that analyzed 360 million LinkedIn profiles, we were able to answer these questions and more in order to paint a picture of the state of data science today.
In this post, we’ll look at 7 charts that determine the education level of data scientists, their areas of study, where geographically they work, and which companies they work for.