A Skill Set Based Framework to Increase the Recruiting Efficacy for Data Science Graduates

Successful placement of IS students in rewarding careers has an impact on how the IS major is viewed by students. The rise of the data science field provides an opportunity to rebrand and rebuild IS departments off the career placement successes of IS graduates. This paper describes a framework that IS departments can use to coordinate between the employer demand side and the graduate supply side of the data science job market. The framework was developed based on empirical evidence over several years in successfully placing IS graduates into IS consulting firms across the U.S. The framework contains three different perspectives: the university IS department, the organizations hiring IS graduates, and the IS graduates themselves. This framework can be used by IS departments seeking to place their graduates in the data science field.