We use machine learning, signal processing, and pretty much any other technique that helps us make sense of vast amounts of client data. We're building the heart of the Formulate analytics engine and cooperate closely with the product team.
Meet the team - Felix
What brought you to data science?
I have a background in statistics, so data science was a quite natural next step (Felix has a PHD in Mathematical Statistics from Stockholm university). What I have always liked about it is that it gives you a big toolbox for attacking lots of different real world problems. To use data and this toolbox to predict what will happen in the world is something I find exciting This makes formulate a fantastic fit for me in that we get data from retailers, and based on that we can say a lot about how they can optimise and plan their promotions.
And what is different about data science at Formulate compared to other companies?
In many companies, data science is a support function, but here it is the product. Being a part of developing the product is incredibly rewarding, you see the impact of what you do in a different way.Moreover, since data science is part of the product, it means that I get to work in a bigger team of very talented people within the field. To me that has been one of the biggest benefits. You learn a lot every day!