Of course each data scientist is different, so please take this criticism with a grain of salt. By a long stretch, they don't apply to all data scientists.
- 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
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