Frenzied demand for data scientists and predictive analytics professionals has gotten a little calmer over the past year, and salaries have remained relatively steady, according to a salary survey compiled by executive recruitment firm Burtch Works.
Data science tools "have made what used to be very complex and rigorous math and computer science problems into something that is more manageable and available to solve for a wider range of individuals," says Linda Burtch, managing director of the firm. "These tools are maturing quickly, and this is having a positive impact on closing that talent gap in analytics," Burtch says.
Another major trend is a geographic expansion of opportunities. Linda Burtch says that opportunities in the U.S. are not just concentrated on the west coast like they were five or six years ago. Nor are they concentrated in tech companies such as Google and Facebook. Now there are opportunities in vertical industries including agriculture, education, law enforcement, weather, health, energy, and security, and others.
The Burtch Works salary survey uses three salary levels for individual contributors and three levels for managers. Entry-level (level 1) predictive analytics professionals with a four-year degree can expect an entry-level base salary that averages $78,615 (with a median of $80,000). Level 1 predictive analytics pros with a master's degree will earn a base level salary that averages $80,737 (with a median of $80,000), the survey says.
From Information Week
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