Not a typo, this is is actually an industry trend. Companies think they need a "data scientist" but they actually want a "software engineer with enough stats/d

Not a typo, this is is actually an industry trend. Companies think they need a "data scientist" but they actually want a "software engineer with enough stats/data background to implement data science algorithms in production." The result is that a lot of "data scientist" jobs are mostly data engineering or ML engineering and that is reflected in the list of requirements. It makes finding a good job extremely difficult, and it's for the better that the "data scientist" title is being eroded, because it makes it easier to tell when a "data scientist" job is actually data science as opposed to something else. Not that "data science" is a good name anyway, but that's another story.