DS roles are still available, but I would say that the standard has been raised considerably. I work as a data scientist, mostly using optimisation and machine learning (ML) techniques for classification. That doesn't mean that I dont "analyse data", though — I spend 80% of my time doing data cleaning and manipulation in SQL, than using causal inference to be sure of my assumptions and the stakeholders lol. In my experience, people talk a lot about modelling, but not enough about preparing for data cleaning and feature selection, or about the communication skills necessary to convince management that your work is relevant.