If you’ve worked with the data science community, you’ve probably interacted with data scientists and formed a definition for the increasingly popular position. But it turns out, not all data scientists are alike, and according to a recent analysis by researchers at UCLA and Microsoft, there are actually nine different types of data scientists.
Miryung Kim, an associate professor in UCLA’s Computer Science Department, last week presented a session at the Strata Data Conference that showcased her research into the data science and software development community. The research revolved around a survey of 793 professional data scientists working at Microsoft that investigated how they spent their time, what tools they use, and the challenges they face in their jobs.
Author: Alex Woodie