Data Scientists Have No Future

Data Scientists have no future.

Currently the working definition of a Data Scientist seems to be: “whatever it takes to get the job done in a digital #tech domain that we have long neglected but which is now coming back to haunt us” 🙂

That’s nice urgency while it lasts, but it is not a serious job description for the future.

You will always find entrepreneurial institutions to offer degrees and “certifications” on the latest trending hashtag. This does not mean that “data scientist” is a professional label that will last.

Long term stable professions normally plug into the legal backbone of society (think of guilds and associations). In the future a number of distinct professions may spring out of the current #datascience soup. What will those be?

Data, quantitative tools and knowledge are the “assets” of data science. My suggestion is to focus instead on the key *liabilities* emerging when the management of digital information becomes so prevalent: Security, data privacy, data provenance (and quality), model performance (model risk). It is expertise in the management of liabilities that makes professions indispensable.

Those who will alleviate the emerging pain points of our digital society will inherit the kingdom…