Labor market analysis using randomized systems of iterated functions

Relevance . Currently, the labor market faces the pressing need to find suitable candidates. Over the past 5 years, the IT market has changed significantly. Due to the outflow and new ways to stimulate employment, it has become more difficult for companies to select qualified personnel to perform the necessary tasks. Purpose . Using randomized systems of iterated functions to analyze the job seekers’ market and select the most suitable candidates for a given profile from the field of information technology. Materials and methods . The data collected from open sources were used. The analysis was carried out using randomized systems of iterated functions. In the work, the cluster analysis method was used, typical representatives of each class were selected, and randomized systems of iterated functions were used to construct fractal sets. Results . Three groups of candidates with different characteristics were formed. Conclusions. The use of randomized systems of iterated functions allows you to effectively analyze the labor market. The proposed approach improves the quality of candidate selection.