In my company I am a software engineer and my colleague is a data scientist, our current project that we work together on does a lot of NLU and NLP type work (think bots) and our skillsets often don't overlap and are both equally valuable to the projects success. That is, I tend to write the infrastructure and platform code that ties everything together and deal with all the software engineering type work, while my data scientist feeds in trained models and the likes. Both are necessary to handle contractual requests/responses as per our scope design.