An interesting approach to framing the different avenues. I have experience with some Post Docs but limited exposure to the cohort of Data Scientists. Therefore, one of my questions regarding the spike in time spent on &quot;analysis and learning&quot; is with respect to the population within each sphere. As in, I wonder if in the Data Science position there are fewer Data Scientists &quot;on task&quot; than in Academia environment, where if there are more Experimental Neuroscientist Post Docs, then the &quot;on task&quot; time would be (naturally?) more stratified. Or, in simpler terms, being 1 of X versus 1 of Y might have a material impact?