A Job Fit Score is a numerical rating that indicates how well a candidate matches a specific role based on skills, experience, cultural fit, and other defined criteria. AI-powered recruitment platforms like Freddie AI calculate this score using data from resumes, assessments, interviews, and behavioral analyses. The scoring model can be tailored to prioritize different attributes depending on the role — for example, technical skills for engineering positions or soft skills for customer-facing roles. A high job fit score helps recruiters quickly identify top candidates, reducing time-to-hire and improving overall hiring quality. Automated scoring also promotes fairness by applying the same evaluation standards to all applicants, minimizing human bias and ensuring that hiring decisions are data-driven.
