Skip to Content
2017 Data Science Salary Survey
book

2017 Data Science Salary Survey

by Brian Suda
December 2018
Beginner
50 pages
51m
English
O'Reilly Media, Inc.
Content preview from 2017 Data Science Salary Survey

Chapter 4. Work Setup and Tools

EVERYONE HAS DIFFERENT TASKS, NEEDS, AND ROLES, but it is good to have a peek at what others are using to ensure that you are staying on top of new trends, in addition to justifying the tools you might already use.

Operating Systems

When it comes to processing data, we see a mix of different operating systems in use. 67% of our respondents are using Windows at some point in their work. 55% are using Linux, whereas only 18% use Unix. MacOS has around 46% use by our respondents.

When it comes to mobile operating systems, only 2% are using iOS, and 2% are using Android for development.

Programming Languages

When asked about programming languages, SQL was on top with 64% of our respondents saying they are using it. 63% are using Python, and 54% use R.

Then we begin to get into the long tail of other languages. Bash has a strong following at 33%, Javascript at 20%, Java at 18%, and Scala at 13%.

C++, C, and C# are used by 9%, 8%, and 7%, respectively.

Some programming languages certainly equate to higher salaries than others. For instance, Visual Basic/VBA is used by around 13% of our respondents, but the median salary is $69,000, followed by C# at $78,000. Perl is the language with the highest median salary at $109,000, but it was used by only 6% of our respondents.

When we look back at the responses from 2016, we can see which programming languages are gaining in adoptions and which are declining. SQL has dropped from 75% in 2016 to only 64% in ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’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.
Head of Cybersecurity
QuotationMarkI 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.
Field Engineer
QuotationMarkI’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.
Data Platform Tech Lead
QuotationMarkI'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.
Mark W.
Embedded Software Engineer

You might also like

2016 Data Science Salary Survey

2016 Data Science Salary Survey

John King, Roger Magoulas
2015 Data Science Salary Survey

2015 Data Science Salary Survey

John King, Roger Magoulas

Publisher Resources

ISBN: 9781491997079