Shortcuts that shortcircuit talent pipelines: Data-driven optimization of hiring

Abstract

Hiring teams largely rely on both intuition and experience to scout talent for data science and data engineering roles. Drawing on results from analyzing over 15 million jobs and their outcomes, Maryam Jahanshahi interrogates these “common sense” judgements to determine whether they help or hurt hiring of data scientists and engineers.