The recruiting world is influenced by trends, temporary or medium-term ones, as it happens for other areas and departments of an organisation.
This post is not about any employer branding or talent acquisition strategy. I’d like to talk about a specific job title: the Data Scientist. Oh yes, we will talk about a job title, not a job profile. Why are we not talking about a job profile? The Data scientists have different expertise, skills and focus considering the organisations they work for. Another variable to be taken into account is the tech stack. So, defining or discussing the job profile is extremely complicated.
During the last two/three years, we’ve observed a surge of the need of data experts; it is especially true if we consider the Data Scientists, the insights’ experts. No problem so far, considering that companies discover their needs and try to fill the gaps looking at specific expertise into the labour market. The problem does not stem from the need to have one or many data scientists; the issue rises with respect to the research of this profile. Many professional who minimally work on the insights part are used to define themselves data scientists. It happens very often. If a professional manages data, the Data Scientist job title is listed on Linkedin. However, a Data Manager is not automatically a Data Scientist.
Do you remember when many software developers were used to defining themselves hackers?
We are in the same situation…. Data rhymes with Scientist as it happened with Software and Hacker.