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A R developer is a computer programmer who specializes in the open-source programming language called "R" that was developed by The R Project for Statistical Computing. As such, their job involves coding and script writing, troubleshooting existing code and scripts written in R, analyzing data sets with statistical or graphical methods using software tools like Microsoft Excel or SPSS (Statistical Package for Social Science), implementing algorithms to optimize performance of programs written with R, creating new libraries/packages within the language as well as deploying databases and web interfaces to store data generated from analysis performed with the language. As a professional, they must stay current on trends related to both technology itself and the industry into which it is being applied. They may work independently or collaboratively with teams such as those found in educational institutions, research laboratories or consulting companies; depending on context certain technical background knowledge may be necessary i.e., mathematics when performing advanced analytics tasks. Furthermore an understanding of business cycles along with market knowledge can be very important especially if an organization requires them to develop applications involving predictive analytics solutions for consumer behavior etc.. Communication skills are also key since most times these professionals need explain complex ideas and concepts via visualizations (in addition to presenting results) so that other stakeholders understand what has been accomplished – examples include producing reports detailing analysis performed through software tools running off languages like “R” alongside recommendations based off findings derived from said analyses all while working according applicable standards & regulations governing confidentiality & privacy laws etc… In essence their role involves bridging between analytical capabilities & business objectives whilst ensuring accuracy & scalability at every stage of development process