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

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 "analysis and learning" is with respect to the population within each sphere. As in, I wonder if in the Data Science position there are fewer Data Scientists "on task" than in Academia environment, where if there are more Experimental Neuroscientist Post Docs, then the "on task" time would be (naturally?) more stratified. Or, in simpler terms, being 1 of X versus 1 of Y might have a material impact?