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%).

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BigData Dimension is a leading provider of cloud and on-premise solutions for Bigdata Lake Analytics, Cloud Data Lake Analytics, Data Replication, Data Quality, Master Data Management (MDM), Business Analytics, and custom mobile, application, and web solutions. BigData Dimension equips organizations with cutting edge technology and analytics capabilities, all integrated by our market- leading professionals. Through our Data Analytics expertise, we enable our customers to see the right information to make the decisions they need to make on a daily basis. We excel in out-of-the-box thinking to answer your toughest business challenges.

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