{"id":1121,"date":"2016-02-12T11:55:57","date_gmt":"2016-02-12T16:55:57","guid":{"rendered":"https:\/\/solutionsreview.com\/data-integration\/?p=1121"},"modified":"2016-10-04T15:38:02","modified_gmt":"2016-10-04T19:38:02","slug":"so-how-many-data-scientists-are-there","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/data-integration\/so-how-many-data-scientists-are-there\/","title":{"rendered":"So How Many Data Scientists Are There?"},"content":{"rendered":"

\"Mad<\/p>\n

The job title ‘Data Scientist’ is something that didn’t exist even twenty years ago, however, overt the last decade it has quickly become one of the most sought after professions in the United States. Simply put, the responsibilities of a data scientist are to analyze growing data volumes in order to help turn them into actionable insights for companies. There was a really interesting Wall Street Journal blog entry<\/a> posted recently regarding the data science profession, and I thought it would be worthwhile to summarize and share.<\/p>\n

According to the article, RJMetrics<\/a>, a software startup that is looking to fill data science positions within took to LinkedIn to try and better gauge the market. In May of this year, the startup sifted through 236 million profiles, which represents about 65 percent of the members on the social media network. The firm sorted profiles based on job title, looking only for members who self-identified as “data scientist.<\/p>\n

LinkedIn profiles hardly make up the entire job market, so that has to be kept in mind. In addition, some may not have referred to themselves specifically as data scientists, and the profession may be called something else in other parts of the world.<\/p>\n

Here were the results:<\/p>\n