Hiring Data Scientists / Data Engineers – 3 Pain Points
Hiring Data Scientists, Data Analysts, and Data Engineers can be a bit of a minefield. How much of a minefield? We’ve done our research on that! Since we’re talking data science, in the video below we present three data points for three advanced analytics and data engineering hiring pain points that we often hear about.
Have you made a bad data science hire or missed out top data talent? Is your tech and data science recruitment, vetting and hiring process too costly and time consuming? There are a number of reasons this can happen including ill equipped HR personnel, unstructured and biased interviews, candidate manipulation of the process, manual resume screening, mismatched job descriptions, too many candidates applying, unrealistic skills requirements and much more.
We hope you’re not plagued with these kinds of issues, but if you relate to these pain points or challenges, QuantHub can help by equipping your hiring managers with a solution that allows them to vet data talent with confidence. Learn more in the video below.