Every organization defines a job differently.
Natural language processing matches a firm's unique job titles to a standard list, giving leaders better insight for hiring and staffing.
How much should a data scientist make? That depends on what "data scientist" actually means.
Since companies define the role differently, it can take deliberate human effort to determine salaries.
An algorithm can process the text of job descriptions and tag them with relevant topics.
These tags can help link different job titles, helping humans match them faster.
Growing companies can leverage job title matching to recruit and hire with success.
Less time assessing job titles, descriptions, and pay bands means more time engaging new and future employees.