The death of data-scientists

If you thought your job was safe think again

I previously wrote about the evolution of data engineering, in which data engineers (ex-business intelligence) had to become more technical in order to follow the pace of innovation in order to support the massive growth of data and data usage, as well as on the various spectrum of data scientists. I am now convinced that data science as we know it is set to die and that like the role of the business intelligence engineer in its’ days it will evolve, but contrary to data engineering, it will evolve towards a less technical nature.

This evolution will be forced in by three different trends: the automation of individual workflows typically performed by data-scientists, the creation of data products effectively taking away certain repetitive part of the job for data-scientists and finally a move towards higher value added work.

If you thought you could keep on doing your typical machine learning for the rest of your career, its’ time for a reality check.

Workflows Automation

In a lot of small startups the data-scientist has been the jack-of all trade in the data domain. From having to setup the infra on which every data-job will be run, to ingesting and processing the different data-sources to finally arrive…