Title says it all. Iβve always been curious what areas I would be missing knowledge in most to transition into a more SWE centric role
Depending where and what you've done, data science can be a purely research/analytical role. When I came to my current team, half of the data scientists thought git was short for "Google it". There used to be no engineering process tied to the role. There are of course data scientists who understand the whole pipeline, but they're very rare and if not compensated properly they will leave very soon as they're super sought after. That said, know python well, kubernetes, git, ci/cd, know your way around linux, nginx and at least one python backend engine
Good language skills. π