As AI proliferates and more and more industries try to beef up their data scientist teams, a new concept has been emerging – the “Full Stack Data Scientist”. What is this new role? What should an organization do about it?

What is a Full Stack Data Scientist anyway? There is no standard definition of a Full-Stack Data Scientist (FSDS) yet, but there are two emerging viewpoints: A Data Scientist who is capable of understanding and executing not just the data analytics and model development, but also the model deployment and integration with the business application. Two examples of this line of thought: (a) Data Scientists should learn how to develop their models into REST APIs for application consumption and (b) Data Scientists should build dashboard applications to showcase their model predictions.

Source: forbes.com
Author: Nisha Talagala