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Different specializations among data scientists

Data scientist is a generic job-title (just like software engineer).  For software-engineers over time one sees many specializations -- full-stack, front-end, distributed systems, solution architect, web-developer, ... 

Question: Is there some resource that provides a good classification (specializations) along with skills/competencies for such data scientist roles.  The specialization could also be based on industry, e.g. financial, consumer, business analytics, ... The context is that when one talks to a recruiter they are all looking for "data scientists" often with little context for what is exactly needed for success in the role.

Thanks in advance.

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