Home > Resources > Infographics > The Typical Data Scientist Profile in 2019

The Typical Data Scientist Profile in 2019

February 9, 2019

This infographic was produced by 365DataScience. Last year they completed a research on 1,001 data scientists to get a profile of the ‘typical’ data scientist in 2018. They replicated the study with new data. Below are the findings. Here are some of our key findings: R (45%) and Python (54%) are the programming languages that dominate the data science field with 73% of the cohort knowing at least one of the two. Other popular languages are SQL (36%), MATLAB (19%), and Java (18%). 59% of the data scientists come from one of three educational backgrounds: Computer science (22%), Economics and Social Sciences (21%), and Statistics and Mathematics (16%). There are fewer people who studied Data science and analysis (12%), Natural Sciences (11%), and Engineering (9%).

Spotlight

Infoq

Software is changing the world. InfoQ, a news and community site with content currently published in English, Chinese, Japanese,Brazilian Portuguese and French empowers software developers to be agents of change in their industries. Along with QCon, our practitioner-driven conferences, InfoQ’s purpose is to facilitate the spread of knowledge and innovation in enterprise software development. As of 2017, InfoQ.com’s readership base is over 1,500,000 unique visitors per month reading content from 100 locally-based editors across the globe. Our goal is to continue to build localized language communities.

Other Infographics

Maximize the value of your data

Infographic | October 1, 2021

Some of the top benefits organizations saw from machine learning include lower costs, improved workforce productivity, increased sales, and much more. Red Hat and Intel can help you quickly tap into these benefits from one unified platform that focuses on pulling value from data with AI and analytics.