Maybe this holds in the consulting world? It definitely does not hold in the tech world, IME.

And what is a data scientist then, if their work does not involve analysing data and presenting their analysis?

99.9% of "data science" is exactly what people used to do in tools like Excel, MATLAB, even SQL, just in Jupyter instead. On a Mac while sipping a latte.

This is a dead giveaway that you have no idea what you’re talking about. You’ve captured about 5% of my work.

The rest of the time, I’m writing software (ETL pipelines or real-time services, including tests), debugging some distributed system, collecting or cleaning data, or gathering requirements and developing feature specs with other folks.

Fortunately for you, you nailed the Mac-using latte-drinking part!

EDIT: Reading your comment history on regression and k-means. you _do_ know what you’re talking about. It is hard to get models into production, so I’m surprised to see your snark here. What gives? Do you have experience with DS who don’t deliver?

I have experience of DS who define what they do by the tools they use, not the results they deliver, it's a pet peeve of mine :-)

Thanks for going back and making the edit!