The end of the Data Scientist Bubble

There are data scientists that are doing truly new stuff. I've been in the analytics for over 20 years (PhD in stats, 1993), and what I do now - including the methodology used, not just the data - is radically different from what I did even 5 years ago. It involves a lot of automation, new algorithms (Jackknife regression, model-free confidence intervals, hidden decision trees, brand new random number generation, feature selection, predictive power) applied to all sorts of data, usually big data sets. It actually goes far beyond processing data: data processing is the tip of the iceberg, but the big picture of what I'm doing is making real-time systems (such as traffic generatiion for this very website) work automatically and smoothly, and in a scalable way. From scratch and/or using vendor platforms - I design, build, and deploy systems that work, with home-made metrics used to test performance and find areas of improvement.