By: Sarah Tarraf, Director, Analytics

The stereotypical image of a data scientist is that of the harried analyst, hacking away late into the night in an unrestrained startup environment, tapping into massive amounts of data to uncover interesting relationships that explain once-unexplainable phenomena. What we tend to ignore is the more common scenario—a data scientist working in an established corporate environment with a limited technology budget and an incomplete infrastructure.

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