September 2016
Beginner
40 pages
46m
English
Content preview from 2016 Data Science Salary Survey
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Executive Summary
IN THIS FOURTH EDITION of the O’Reilly Data Science Salary Survey, we’ve analyzed input from 983 respondents working in the data space, across a variety of industries— representing 45 countries and 45 US states. Through the results of our 64-question survey, we’ve explored which tools data scientists, analysts, and engineers use, which tasks they engage in, and of course—how much they make.
Key findings include:
- Python and Spark are among the tools that contribute most to salary.
- Among those who code, the highest earners are the ones who code the most.
- SQL, Excel, R and Python are the most commonly used tools.
- Those who attend more meetings, earn more.
- Women make less than men, for doing the same thing.
- Country and US state GDP serves as a decent proxy for geographic salary variation (not as a direct estimate, but as an additional input for a model).
- The most salient division between tool and tasks usage is between those who mostly use Excel, SQL, and a small number of closed source tools—and those who use more open source tools and spend more time coding.
- R is used across this division: even people who don’t code much or use many open source tools, use R.
- A secondary division emerges among the coding half— separating a younger, Python-heavy data scientist/analyst group, from a more experienced data scientist/engineer cohort that tends to use a high number of tools and earns the highest salaries.
To see our complete model and input your own metrics to predict ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.