February 2017
Beginner
30 pages
24m
English
Content preview from 2017 European Data Science Salary Survey
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Executive Summary
In 2016, O’Reilly Media conducted a data science salary survery online. The survey contained 40 questions about the respondents’ roles, tools, compensation, and demographic backgrounds. About 1,000 data scientists, analysts, engineers, and other professionals working in Data participated in the survey—359 of them from European countries. Here, we take a deep dive into the results from respondents based in Europe, exploring career details and factors that influence salary. Some key findings include:
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Most of the variation in salaries can be attributed to differences in the local economy
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Data professionals who use Hadoop and Spark earn more
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Among those who use R or Python, users of both have the highest salaries
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A few technical tasks correlate with higher salaries: developing prototype models, setting up/maintaining data platforms, and developing products that depend on real-time analytics
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Respondents who use Hadoop, Spark, or Python were twice as likely to have a major increase in salary over the last three years, compared with those whose stack consists of Excel and relational databases
Note
Respondents who use Hadoop, Spark, or Python were twice as likely to have a major increase in salary over the last three years.
We hope that these findings will be useful as you develop your career in data science.
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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.