The proper academic degree programs in data science are just emerging and the industry itself is not yet completely sure how to define a nicely framed profile of a data scientist.
As a matter of fact, the pool of data scientists currently consists of individuals with various backgrounds.
There are people with background in computer science and AI in our team, but also those who come from the fields of signal processing, econometrics, chemistry, complex systems, sociology etc.
Our common denominator is usually a good understanding of scientific method and of the design of experiments.
Technical skills are much more straightforward to acquire.
However, as we come from various fields, our understanding of processes around delivering data-based products might differ.
It takes some effort to integrate all these experiences and deliver strong team results, and here’s how we handle this.
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