Over the past five years, the hiring landscape for analytics professionals has changed dramatically. While AI has streamlined applicant screening and recruitment, it has also introduced new challenges, including increased application volumes, candidates using AI during interviews, and third parties completing technical assessments on applicants' behalf. In response, employers have placed greater emphasis on verifying fundamental knowledge through paper-based coding exercises, case studies, and discussions that require applicants to explain their reasoning rather than simply produce an answer.
This session will cover these evolving hiring trends and share how a graduate-level master’s program has adapted its career support by working alongside faculty and industry partners to prepare students for this new approach to hiring data scientists.
