I have been dispatching the same arguments for the last 3 years. Schools have all engaged in Data Science programming flowing the market with statisticians reconverted into data science with basic programming skills, even lighter notion of data engineering, DevOps tooling and operational understanding. In 2015, our Big Data major was renamed Data Science, no matter if we are still teaching NoSQL, Hadoop, Spark... I've been careful to never engage Adaltas on the road of DS not because we didn't like it but because of the hype around it and the created market distortion. I tell my customers that we have Data Engineering who can excel in Machine Learning if needed, placing their models in streaming processing with Spark or Flink and pushing it into production with the expectation of operational constraints. Lately, we just engaged a young Data Scientist consultant with the right resume supporting it, first we did was to place him on a 4 months diet to teach him about how to deploy and secure a platform as an InfraOps and how to write data ingestion as a Data Engineer.