December 2018
Beginner
50 pages
51m
English
Content preview from 2017 Data Science Salary Survey
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,
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.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.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.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.
Chapter 2. Introduction
THIS IS THE FIFTH YEAR for the Data Science Salary Survey, and we certainly see some trends over that time. With nearly 800 participants taking this online, self-reported survey, we can use this data to get a better picture of what tools data scientists are using, where the industry is heading, and most important, get an overview of salaries for the data community. The respondents came from 69 countries and 42 US states. This gives us a good geographic dispersion when we look at the trends.
The survey asked specific questions about salary, industry, team, and company size, but it also asked questions such as, “How easy is it to move to another position?” or “What is your next career step?” When all of these questions are put together, a better picture of the overall landscape comes into focus when looking at data in various industries.
The data and model are best used to start a larger discussion about, for instance, how you compare to your peers and the industry as a whole, and the soft and hard skills you might think about acquiring in order to stay competitive and up-to-date.
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
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.