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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Zinnia Systems

We empower Communication Service Providers to focus on building long-term profitable relationships with customers by automating majority of their business processes and by progressively transforming their customer and revenue management infrastructure into a high-performance, scalable and robust platform. We provide full suite of high quality Customer Management and Billing solutions including software products, consulting, installation & integration services and support. Our integrated product suite, Zarada, is designed specifically to provide an end-to-end and easy-to-use solution for quickly launching Converged Services and WiMAX Services in growth markets. With flexible automation of customer interactions, real-time analytics on customer behaviour and high-performance charging system, Zarada enables Communication Service Providers to drive profitable growth through operational excellence in customer facing processes as well as core revenue management functions.

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