Starts Monday: Beginner Python & Math Live Online Course. Enroll Now

Burtch Works’ 2019 Data Science Salary Report Shows Current Market Trends

By Linda Burtch • June 24, 2019

This post was written by Linda Burtch, Founder and Managing Director - Burtch Works

Need salary or demographic information for data scientists and analytics professionals, but not sure where to look? While distinctions between quantitative professionals are growing fuzzier by the day, one thing is certain: experts in this space are more in demand than ever before.

Burtch Works Data Science & Predictive Analytics Market Data

With market data on these professionals exceedingly scarce, Burtch Works compiled a report in 2013 to share its unprecedented salary and demographic data on quantitative professionals. Despite all the attention that “Big Data” hype generated for the field, finding reliable information was (and still is) difficult. There was immense demand from the professionals and employers that we work with to find a way to share our comprehensive hiring data with the quantitative community.

Since then, we’ve released annual reports to share our insights from the unique vantage point of recruiters that interview thousands of quantitative professionals and hundreds of teams every year. With data scientist fascination taking over the media, our reports and hiring market insights have been featured by a number of media outlets ranging from The New York Times and The Wall Street Journal to Forbes, CNBC, InformationWeek and many more. 

How and Why We Segment the Quantitative Market

This year, for the first time, we’ve combined our separate Data Science and Predictive Analytics salary reports into one. We’ve always regarded data scientists as a specialized subset of predictive analytics professionals, and our hope in presenting these two sets of data side-by-side (instead of in separate studies) is to show some of the interesting comparisons between the two groups that we’ve noticed over the past few years.

Burtch Works has typically segmented data scientists and predictive analytics professionals because of skillset differences that led to differing salary bands. As we’ve defined them, data scientists typically work primarily with unstructured or streaming data and therefore command higher salaries than others in predictive analytics that mostly focus on structured data. 

Although the two areas are becoming more blended as of late, there are a number of reasons why we’ve continued to analyze them separately that we highlight throughout our report, including differences in their industries of employment and educational backgrounds, as well as salaries and other areas. The report goes into further detail about how we differentiate these segments.

What’s Included in our 2019 Data Science & Predictive Analytics Salary Report

Compensation and demographic data of 1,840 PAPs (Predictive Analytics Professionals) and 421 data scientists are shared in this report, gathered through individual interviews over the past year. One of the significant advantages to the interview process when gathering this data (as opposed to a self-reported survey or collecting data from human resources departments), is the ability to better segment quantitative professionals and obtain information that HR departments might not have access to (such as education), but that can affect salary, as well as to obtain clarifications directly from professionals themselves.

Our salary study reports base salary variations of predictive analytics professionals and data scientists, both individual contributors, and managers, which is then further segmented by level of experience and management responsibility. We also report how base salaries have changed since last year’s study, and how salaries of quantitative professionals vary based on several characteristics including job level, industry, region, education, residency status, and gender.  

In addition to our data analysis, we also highlighted major quantitative hiring market trends: tools, increasing job options, the emergence of the “data science citizen” role, the proliferation of satellite offices to attract talent, firms increasingly turning to testing as a way to evaluate potential talent, the push for specialized skill sets and visionary leaders, and more.

Want access to the latest salary data and insights for the data science and analytics fields? Download our report for free on the Burtch Works website.

Similar Posts

business resource
Scoping a Data Science Project

By Damien Martin • April 22, 2019

In February, Metis Sr. Data Scientist Damien Martin wrote a post on how to foster a data literate and empowered workforce, which allows your data science team to then work on projects rather than ad hoc analyses. In this post, he explains how to carefully scope those data science projects for maximum impact and benefit.

business resource
Playbook: Hiring Data Scientists

By Brendan Herger • March 25, 2019

Data scientists are in high demand, particularly as data changes the way many companies do business. But it can be difficult to attract (and retain) data science talent in a job market that is growing at an unprecedented rate. In this post, Metis Sr. Data Scientist Brendan Herger draws on years of experience to share how to effectively and efficiently hire data scientists and build out your team.

business resource
Metis Case Study: Helping CMA Consulting Remain on the Cutting Edge

By Metis • May 24, 2019

In this case study, read how we worked with CMA Strategy Consulting (a boutique consulting firm focused on the telecommunications, media, and high tech industries) to evolve its capabilities and ensure its services remained on the cutting edge.