The Master-Data Scientist – Towards Data Science

When one looks around for articles and blog posts about data science it would seem obvious that people are describing the data scientist as a person who possesses deep knowledge in statistics, mathematics, software engineering, econometrics, machine learning, data structures, cloud computing, scientific method, programming in several languages, and deep knowledge/background in diverse areas of social science . Although there are some people who can be quite good at many of these skills, in general these are specializations that are very hard to master all together with deep expertise (the division of labor is actually accredited for being one of the main drivers of growth in the capitalist system). I would sustain that we need to focus on the demand side for data science in order to understand what is data science and why and where do we need it. In the next section I will start by trying to identify what could be a reasonable definition or characterization of data science. A general and accepted definition of data science does not exist. People in different contexts provide different definitions which are often tailored on specific areas of interest.