An excellent talk by Tanya Reilly about the career impacts of technical and glue (non-technical) work especially for underrepresented groups: “Being promoted is diversity work.”
I’m not a data scientist but I’ve been trained for it (as part of my computer science degree) and I’ve worked in a bunch of related fields. I wholly endorse this take by Vicki Boykis on the state of data science and what you need to be successful at it.
1. Learn SQL
2. Learn a programming language extremely well and learn programming concepts
This description of the Goldsmith MA Design Expanded Practice is more or less also how I prefer to work whether in my own practice or anywhere else. An exposition of how to redesign design education that is well worth reading.
We wanted to build a new form of post-disciplinary practice that utilised some deep material skills (from their UG degrees and professional practices) and theoretical skills (from a diversity of disciplinary backgrounds), but evolving them through team work and collaboration. We didn’t want to reduce design to a set of methods or ‘design thinking’ processes, we wanted to give students the space to develop and evolve a truly expanded practice.