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I'm a PM whose had to screen DS and DA resumes and I can re-affirm, you want to optimize for someone to give a quick glance, find whats most relevant, and pass long. A couple additional notes from my perspective:

1) For Skills section, I like a resume as well that score the users proficiency. I expect all candidates to have strengths and weakness, so seeing that spread of R vs. Python proficiency helps me optimize for candidates that match our data stack. (For example, we have a python analytics engine we own on the data team.

2) If you have a non-technical degree, I would even consider dropping it. A data scientist highlighting their political science undergrad degree gets called out every-time by my CTO

whenever I flash him some resumes.

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