Companies are having a notoriously hard time hiring data scientists, and it’s partly a self-created problem. Employers badly in need of data scientists don’t always understand exactly what a data scientist is.
And in a tight market for tech talent, many candidates are more than willing to exploit that ignorance. A lot of people like to call themselves data scientists because they’re using point-and-click tools, like Tableau and Excel, to perform data analysis and visualization in order to gain business insights. To be clear, these “clickers” are valuable in their own right; they’re smart, capable people who provide plenty of valuable analytics to their employers.
Author: Michael Li