In 2015, the White House appointed the first United States (US) Chief Data Scientist, saying that role “will shape policies and practices to help the U.S. remain a leader in technology and innovation, foster partnerships to help responsibly maximize the nation’s return on its investment in data, and help to recruit and retain the best minds in data science to join us in serving the public.” 
More and more industry and government organizations recognize the value of data for decision-making and have set up general and specific data scientist roles to support data science and engineering, e.g., data modelers and data miners, in addition to data engineers and business analysts. A critical data role is the chief data scientist role, such as Chief Data Officer, Chief Analytics Officer, Chief Data Scientist, who take executive responsibilities specific to data and data-related decision, strategies, planning, review and data science team in an organization.
While vendors and consulting firms have disclosed a significant shortage of hundreds of thousands of data scientists needed in the coming years for one country, the data science roles are not specified in terms of a structure of capability set. Building an effective data science team for a large organization involves much more sophisticated
skill requirements and complementary capabilities than just hiring a pool of data scientists .
 Whitehouse: The white house names dr. DJ patil as the first U.S. chief data scientist (2015). URL https://www.whitehouse.gov/blog/2015/02/18/white-house-names-dr-dj-patilfirst-us-chief-data-scientist
 Patil, D.: Building Data Science Teams. O’Reilly Media (2011)