Data science - creating elite analytical teams

What data science is in reality

Most people refer to data science as a process or a field of study. Essentially the goal is to create actionable insights by combining domain or business knowledge, computer science and mathematical or statistical methods. We believe that data science is about forming an interdisciplinary team that is capable of solving problems by analysing data. So our focus in not about which methods to ideally use, but which people can we put together, that will create "gold" from your company data.

Experiements and iteration

Unlike other teams (e.g. software engineering), the work of data science teams if very experimental and requires a few iterations before achieving the best results. High performing data science teams need to be empowered by the leadership of their organisation in order to work optimally. They need the trust and security to be able to fail quickly, learn and improve.

Learn from us

We can help you get your team performing optimally. Gauss Algorithmic data science team has delivered over 50 projects in 12 industries. We've created more then $300M in new value for our customers. And the good news for you is that we love sharing what we've learnt over the last 9+ years.

"Our cooperation with the capable Gauss team on advanced data and analytics projects has been very productive and smooth. We can only recommend Gauss as a company with significant expertise and a great customer approach. Generally a pleasure to work with on any cutting edge data projects." Miron Ilincev, Head of Analytics and Commercial Excellence at Zentiva Group
Learn from Gauss
Gauss Algorithmic

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