Data science is hard but it isn’t dark magic.
The question “do you need a data scientist?” came up a lot when I was a management consultant for a global firm that successfully incubated data science within a few enterprise organizations. It’s hard. The discussion is hard and the culture clash for data scientists is hard. Many approach data science as some dark magic from Hogwarts. It’s not. Investigating a hypothesis takes time. Spontaneously generating data and building a model against that data doesn’t work. Understanding who you need and how they will fit into your organization is challenging. Where do we put them? Who do they interact with? What is the hand-off? Who do we structure around the project? How do you execute a project? Even better, how do we make MONEY? Yet, before we go there, perhaps we should step back a bit and think of this as a strategic question. Because maybe you do need a data scientist and maybe you don’t.