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Using A.I to make recommendations for career progression | Dorra Nouira
Discover a data-driven approach to career progression using AI, which recommends job transitions that account for 30% of soft skills and highlights top skills and industries for successful transitions.
- The approach uses a multivariate combination model to quantify job similarity based on title, description, and skills.
- The model uses a gradient boosting algorithm to combine the three variables and return a global score.
- The study finds that soft skills power job recommendations to a significant extent, accounting for 30% of the overlap between recommended jobs and jobs of origin.
- Most recommended job transitions (75%) are on the same seniority level as the job of origin.
- Lateral transitions (transitions between jobs with the same seniority level) are also common, with three of the four best recommended jobs being lateral transitions.
- The study finds that career paths are complex and that there is no straightforward answer to the question of how to choose the next job.
- The approach uses a combination of natural language processing (NLP) and machine learning techniques to analyze job descriptions and recommend job transitions.
- The study finds that the top 10 soft skills powering most job transitions are written communication, oral communication, time management, and team spirit.
- The study also finds that the top 10 recommended job transitions are concentrated in a few narrow categories, such as banking and finance.
- The approach uses a combination of job title, description, and skills to recommend job transitions, and finds that the combination of these variables is more accurate than using a single variable.
- The study validates the model using a combination of linear and nonlinear techniques, and finds that the model is able to accurately predict job transitions with an R-squared value of 0.9.
- The study concludes that the approach is able to provide a quantitative framework for recommending job transitions, and that soft skills play a significant role in empowering job transitions.