You hear all the time that it is very hard to find and hire a great data scientist. Yet these scientists can't find a job, and are typically unemployed for many months after graduating or after being laid off - even those with 15 years of experience and stellar degree and accomplishments.
So what's the problem? I'm suggesting a few possibilities:
- Candidates lack business acumen
- Candidates have poor communication skills, are asking too much money
- Candidates have outdated skills - or University is teaching outdated material
- Recruiters are very slow in the recruiting process - eventually candidates evaporate
- Recruiters are very concerned about hiring because of the economy
- Candidates should not apply for a job, but instead create their own career or enterprise
- Recruiters don't know how to measure added value provided by analytic talent
- Certifications, regulations (e.g. regarding data privacy) or US citizenship requirements is a barrier
- Candidates will not relocate because they can't sell their house
- Too many analytic people, we should discourage prospective students to pursue an analytic career
What do you think?