Data Science Dilemmas
Joe and Matt explore the challenges faced by data scientists transitioning into data engineering roles. They discuss the importance of understanding company needs and the necessity of advocating for data engineering when essential infrastructure is lacking. The conversation highlights how individuals with a strong mathematical background may find success in data engineering, emphasizing the value of diverse skill sets in the data field.In this clip
From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn
SDS 595: Data Engineering 101 — with Joe Reis and Matt Housley
Related Questions