There's a really good video here, seperating what "data science" means to different companies https://www.youtube.com/watch?v=xC-c7E5PK0Y https://www.youtube.c

There's a really good video here, seperating what "data science" means to different companies https://www.youtube.com/watch?v=xC-c7E5PK0Y https://www.youtube.com/watch?v=xC-c7E5PK0Y TLDR - some smaller -mid-sized companies call datascience are actually referring to software engineering / data engineering - Smaller companies with datascience might be doing software engineering as well, if no data pipelines / collection datasets available (they are using the term wrong here) - most companies calling for AI/deep learning don't actually meet the requirements for it. - You don't need a data scientist until you have SWE's / data engineers - Machine learning is more narrow smaller defined scoped problems / dataset, for things like text classification and analysis. Things like identifying what number is drawn out on a piece of paper using MNIST, etc. basically, data-science could mean a lot of things and is pretty ambiguous. Its the new software-engineer vs web-developer terminology.