Data scientists
- are creative and bring disruptive IP (intellectual property), and this can cause havoc for their company. They can steal and leverage your IP, and create IP leaks.
- are not great communicators, and sometimes can be stubborn
- work on stuff that they like, even if it does not translate in yield, or if it is not stuff they are paid to do
- hate doing mundane work, and are bad at it
- have more career options than many employees, and are thus difficult to retain
- don't like team work, tend to be elitist and isolationist
- are sometimes very attached to a specific technology and don't want to try something different (they sometimes give the impression that they haven't realized the world is evolving without them)
- are not good listeners
- work for you just to save enough money to launch their company and compete with you in a couple of years
- are arrogant: bad impact on teams
- think sales, marketing and executives are stupid
- can do real nasty stuff if they become a disgruntled employee
- are sometimes reluctant to share their knowledge, train colleagues, or outsource to colleagues
- are not great at prioritizing
- are not great at switching (on-demand) from one task (coding) to another (presenting)
- sometimes have issues working with women (especially managing or being managed by women), especially if coming from a male-dominant culture
KEYWORDS:
> disgruntled :
> isolationist :
> mundane :
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