I'm looking for a Data Scientist position in San Francisco Bay Area and have been on many interviews. I have found organizations are looking for too much. They want high-level capabilities in statistics, machine learning, big data, computer science, AND specific domain knowledge. Since they hiring their first (and possible only) data scientist, they are looking for those capabilities in the same person. Add to the mix non-overlapping technologies. The human resources person is looking for someone with SQL and Hadoop chops because those are the most common buzz-words. The team member wants someone with R and Unix experience because they are useful right now "in the trenches." Everyone wants years of experience in an toddler stage industry (i.e., likes to make loud noises about important it is).
Instead of trying to find an unicorn, maybe they should look for a horse with reasonable looking prosthetic horn. As Dan Savage says, “There's no settling down without some settling for.” Find a .77 Data Scientist that you can round up to The One.
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