Yeah, I was going to say the same thing. They are all soft skills. I'll add a few hard skills for STEM jobs that are not necessarily specific to any field: - N

Yeah, I was going to say the same thing. They are all soft skills. I'll add a few hard skills for STEM jobs that are not necessarily specific to any field: - Number sense. The ability to notice inconsistencies from hundreds of rows and columns of a spreadsheet, for instance, is critical to both projects and career. Being able to carry out back-of-envelop calculation is a crucial skill too. - Statistical sense. I'd even venture to say it's a survival skill. Too many people make statements that this: I saw a pattern of cloud every time when an earthquake happens, therefore, if I see the pattern, I can predict that there is going to be an earthquake. Or how many people are fooled by Simpson's paradox in their daily jobs? - Mathematical maturity. How many engineers missed the gravy train of the machine learning because they couldn't or were afraid to understand basic college maths, like linear algebra, vector calculus, or mathematical statistics? - Mathematical modeling. We don't really need to find out the boundary condition of a system of PDEs, but the ability to model a system mathematically is of huge value. - Intuition of your field. For backend engineers, for instance, the understanding of the basic theory of distributed systems, the understanding of performance modeling with queuing theory, the understanding of common data structures and algorithms in OS/databases, the understanding of concurrent and parallel programming, and the ability to code up anything reasonably prescribed, of course.