While companies complain about lack of analytic talent, professionals complain about lack of jobs. Everyone wants to work for Facebook, LinkedIn, Google, Intel, Apple, Twitter or some hot start-up. It creates fierce competition getting a job interview, let alone a job. But companies that do not belong to this circle see very few candidates applying for their data scientist open positions; in addition, they are only hiring what I call technical developpers (defined by a narrow set of technical skills, usually R, Python, NoSQL, Hadoop, Map-Reduce, software engineering). They are not interested in real data scientists, so many data scientists that would apply would (erroneously) not be perceived as bringing value, and not interviewed.
The problem with consulting is of a different nature. Companies are looking for the cheapest consultant having the minimum set of qualifications to perform the task...
The article also discusses:
- So what are the solutions, for a consultant?
- Some arguments to convice a client to work with a more expensive, US-based consultant
- Make a living as a business or growth hacker
Read full article at http://bit.ly/1i0Sdtl
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