Context

This is a dataset containing some fictional job class specs information. Typically job class specs have information which characterize the job class- its features, and a label- in this case a pay grade - something to predict that the features are related to.

Content

The data is a static snapshot. The contents are
ID column - a sequential number
Job Family ID
Job Family Description
Job Class ID
Job Class Description
PayGrade- numeric
Education Level
Experience
Organizational Impact
Problem Solving
Supervision
Contact Level
Financial Budget
PG- Alpha label for PayGrade

Acknowledgements

This data is purely fictional

Inspiration

The intent is to use machine learning classification algorithms to predict PG from Educational level through to Financial budget information.

Typically job classification in HR is time consuming and cumbersome as a manual activity. The intent is to show how machine learning and People Analytics can be brought to bear on this task.