How to Match Candidates to Jobs Using ATS Data with Unified's ATS API

Matching candidates to jobs using Unified's ATS API involves navigating the complexities of data modeling across different Applicant Tracking Systems (ATS), which often have varying levels of data availability and structure. The process requires the integration of four primary data layers—jobs, candidates, applications, and documents—each of which Unified provides as normalized models. These models, however, come with limitations due to inconsistent field availability and integration-specific constraints, such as the rarely populated skills fields and the varying accessibility of resume documents. The guide outlines a multi-step strategy that includes ingesting open jobs and candidate profiles, retrieving resumes when available, and linking candidates to jobs through applications. It emphasizes the importance of extracting both structured and unstructured signals for candidate-job matching and suggests leveraging historical outcomes for training supervised models. Despite the challenges posed by provider variability, Unified's API offers a consistent data foundation, enabling users to build robust matching algorithms that adapt to imperfect data and different ATS environments.