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The myth of the rock star data scientist

The myth of the rock star data scientist

One of the strongly debated topics in the data science forums is whether one should expect of data scientists to be individuals with strong credentials (STEM PhD and above) or if everyone, provided enough data, tenacity and GPU access can be a data scientist. I would argue that this is looking at the problem from the wrong side: what matters […]

Building a data science team that works

Building a data science team that works

Many companies are trying to build data science capabilities, for various reasons: either they saw that a competitor is extracting real value, or, more commonly, simple fear of missing out.  Sometimes these initiatives fail. Actually, rather often. But why is that and how to prevent it? In my experience, there are three key factors that contribute to the success. 1. […]