Data Science Career Path & Progression
Data Scientist is a new profession, and as such, there isn’t a clearly defined career path made for it. People end up in data science from different backgrounds such as computer sciences, mathematics, economics… Some of which had prior experiences in related professions.
We can look at the career path of a Data Scientist along four main axes, a data axis, an engineering, a business, and a product axis. The role of Data Scientist is multidisciplinary, and we can see the career path within each axis as being a continuation skewed towards some of these disciplines.
Data Axis
Within the data axis, we have two typical career progressions, one as a data leader/manager, one as a senior individual contributor (Senior IC).
Data Leaders:
There is no common understanding of what makes a data leader. For some, a data leader is merely a people manager. For others, it needs to be able to act as a mentor to more junior data specialists. Others…
