045 Generalizing Data Science Skills
from The Happy Jōb Records Hosted by Russ Waddell
Mechanical engineer turned quantitative analyst turned data scientist Dan Buttera joins today to weigh in on shifting from industry to industry while building up a useful skillset in tech and management. He brings some fresh perspective to the ongoing discussion of fitting in, finding where you can be effective, and the value of putting in reps to establish your knowledge base and credibility. Also, guitars and the unique oddness of greater Washington, DC. 3m 16s Establishing a baseline for “desire to solve interesting problems,” and the often forgotten/hidden world of maintenance, repair, and operations (MRO). 7m 20s The core problems of e-commerce and recommendations. How they are getting solved with novel tools. How the tools apply very broadly to a lot of other interesting problems. 13m 49s Teasing the heavy technical stuff. 16m 20s Heuristics (reasoning on basic rules) versus algorithms (logic built on large complex models) 18m 20s “The problems are really hard” 26m 0s Who asks for data science and how does it move up and down the chain of command? 33m 37s When it becomes apparent that your day-to-day work is an actual, real, direct input to global geopolitics. 40m 33s Practicing (data) scientists and R&D vs commercial projects. 44m 29s Practicing for Bozo the Clown.
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