Why I'm not a Data Scientist

During my tenure at Keboola, and for some time before that, I’ve helped to design successful BI implementations for numerous companies, big and small.

In my role I taught others and helped them to achieve the same. Together, we build solutions that amaze me daily with their ability, value they bring to the users, and potential for the future. We process billions of rows of data, 10s of millions of text entries of all kinds, millions of deals and billions of dollars in business transactions. We perform some serious analytics over all that, helping to draw out business value for our clients every day. We innovate and help to redefine what it means to do BI. Our own company runs on data.

Yet, I would not call myself a Data Scientist.

I rarely code. I suck at stats. I definitely need to freshen up on my math skills. I avoid fancy terms like OLAP cube and Linear Regression. I prefer simple language. With my resume, I wouldn’t fit the bill for 80% of data analyst jobs postings out there. 

I don’t hold a PhD.

For me, Big Data is not a category of its own. It is something too big to handle using the tools at hand. So you get a bigger hammer and move on.

I’m a user, in all senses of the word. I’m addicted to data. I look for it everywhere, behind every question and problem. I love great business ideas and using data to make them fly. I love to work with people who think the same way.

How do I pull it off? Sometimes I wonder. For the most part, I believe it’s about the right tools. Tools that are conductive to this kind of thinking. I mostly use just two of them - Keboola Connection to bring the data together and put it where and how I need it, and GoodData to extract the meanings and answers to business questions.

Petr Olmer, Director of Expert Services at GoodData once tweeted that the most underused tool in BI is the human brain, and the most underrated method is asking questions. I believe it, and would add that the term “Data Scientist” ranks up there with the most over- (and mis-) used.

At Keboola we are trying to change that. Consultants at Keboola are people who understand the business and speak its language. They use their brains and ask a lot of questions.

Both Keboola and GoodData have some brilliant people that you could call serious scientists, data or otherwise. But their talents are being applied to making the tools smarter and more useful for us, the common folks. What they do keeps things simple for us. It allows us to focus on the business objective of the task at hand rather than the “how” of it all. Thanks to them, you don’t need to hire a scientist (or be one) to find the wealth in your data

But you might want to talk to - or become - one of us.