2017 European Data Science Salary Survey

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:

• Most of the variation in salaries can be attributed to differences in the local economy

• Data professionals who use Hadoop and Spark earn more

• Among those who use R or Python, users of both have the highest salaries

• 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

• 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.