Keep candidate model data current for recruiting ops

Chief data scientists and recruiting ops face stale candidate profiles that skew models and delay review. This routes profile updates into your ML data sheet so models and recruiters use current records.

Overview

Stale candidate profiles compromise model training and slow hiring decisions. This workflow ensures every new or updated profile flows into your ML data sheet so models and recruiters work from the same current records. Expect far fewer manual updates, drastically reduced missed training samples, and more reliable inputs for model experiments.

Notable Features

Update ML sheet on profile change
Create or refresh candidate rows
Notify recruiters of new records