Candidate scoring model for a job search platform

Although there are many job boards available, only a few take the time to assess and evaluate candidates based on both their learning abilities and technical skills. This is where AI comes in. The platform is a specialized job search portal that focuses on finding top technical talent by connecting with online and offline educational institutions to help filter candidates. DataRoot Labs developed the platform comprehensively, incorporating AI components to assist in filtering and scoring candidates throughout the process.

• The LTV of student cohorts doubled from 5% to 10%, based on the number of students who finished the school.

• The tracking of "student-content' interaction allowed for aggregating more data and automatically enriching their internally created CVs that are later passed to potential employers.

• As a result, students' probability to get the desired employment significantly increases. At the same time, employers get candidates that are more qualified for the position.

• The platform has a large number of students that become job candidates after finishing the online school. The main challenge lies in sorting students during the studying cycle to identify best talent.

• Another challenge is to supply students with personalized study program. The program provides curated content such as customized tests and materials based on students' skills level and needs.