December 2018
Beginner
50 pages
51m
English
Content preview from 2017 Data Science Salary Survey
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Chapter 5. Conclusion
THE DATA SCIENTIST ROLE CONTINUES TO GROW globally as more nonsoftware companies understand the need for resources to analyze and report on data using modern tools. Overall, results are similar to what we found in 2016, helping confirm the reliability of the survey data. Most of the salary data shows stable trends, with a few sectors showing increases—what we expect as the years pass.
There were a few surprises, such as the shuffle of programming languages and relative drop in US representation. This change might be due to the types of companies responding to the survey or other trends in the market. Some software releases garner intense attention, creating a rush to try and learn a new programming language in order to make use of new features or libraries.
Low usage rates for tools (e.g., languages and databases) doesn’t imply some inherent deficiency. These tools might address niche functionality, legacy systems, or a functional area on the cusp of more widespread adoption.
This report is our best guide to what is happening in the industry surrounding data. Use the report to start conversations with your team and company regarding tools and processes and help map out the elements that make up the data landscape and how that relates to your company’s technology infrastructure and business model. Look at what soft and hard skills you should consider in order to stay competitive and relevant in the data ecosystem. With the guidance of producing five years ...
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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.