This document discusses common myths about data scientists. It addresses 10 myths, including that a PhD is always needed, that data scientists will be replaced by AI, and that more data always translates to higher accuracy. Each myth is presented with a number and graphic debunking it by explaining the reality of that aspect of the data science field.