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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Amenity Analytics

Amenity Analytics develops cloud-based analytics tools to help businesses draw actionable insights from text on a massive scale. With domain-expertise in the Financial sector, Amenity’s products transform unstructured data into targeted information and deliver it in elegant formats that are intuitive to use, frictionless to onboard, and designed to complement existing workflows.

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