O’Reilly Data Scientist Salary and Tools Survey, November 2014

December 10, 2014

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

The O'Reilly Data Scientist Survey for 2014 is out, with fresh data on the salaries and tools used by data scientists. Jon King has a summary of the results, but not much has changed since last year: median income is down very slightly ($100k in 2013 vs $98k in 2014), and the most popular analysis tools (excluding operating systems) remain — in rank order — SQL, Excel and Python.

Looking futher down into the tails of the popular data analysis tools yields some surprising results, however:

2014 Salary Survey

The big surprise for me was the low ranking of NumPy and SciPy, two toolkits that are essential for doing statistical analysis with Python. In this survey and others, Python and R are often similarly ranked for data science applications, but this result suggests that Python is used about 90% for data science tasks other than statistical analysis and predictive analytics (my guess: mainly data munging). From these survey results, it seems that much of the "deep data science" is done by R.

O'Reilly: 2014 Data Science Salary Survey

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