Salary Prediction in the IT Job Market with Few High-Dimensional Samples: A Spanish Case Study

Abstract

The explosion of the Internet has deeply affected the labour market. Identifying most rewarded and demanded items in job offers is key for recruiters and candidates. This work analyses 4, 000 job offers from a Spanish IT recruitment portal. We conclude that (1) experience is more rewarded than education, (2) we identify five profile clusters based on required skills and (3) we develop an accurate salary-range classifier by using tree-based ensembles.

Keywords

• Salary prediction
• e-Recruitment
• Job Market
• Machine Learning
• Ensemble methods