Getting Data Science Right: How To Structure Data Science Teams For Maximum Results

Data scientists have become the darlings of today’s competitive job market. Entry-level salaries can range into six figures, and roughly 700,000 job openings are projected by 2020. There’s good reason for this spike in demand, too. The job of data scientists is to extract insights which are hidden inside mountains of data, which can then be used to achieve diverse business goals ranging from fraud detection to face recognition.

Far from being uniform, the field of data science is now as diverse and varied as the business goals which it helps achieve. Acknowledging this is key to building data science teams, which must be comprised of individuals with highly specialized (and complementary) skill sets in order to be successful.

Author: Azadeh Moghtaderi


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