Rstudio

Overview

Key responsibilities

• Write R scripts to clean manipulate and analyze data sets.
• Create visualizations using R packages like ggplot2 for data exploration and presentation.
• Develop statistical models and predictive analytics using R tools.
• Collaborate with data scientists and analysts to extract and interpret insights from data.
• Implement machine learning algorithms in R to solve business problems.
• Conduct quality assurance and testing of Rbased analytical solutions.
• Optimize R code for performance and scalability.
• Document R code and analysis processes for reproducibility and knowledge sharing.
• Stay updated with the latest Rstudio and data science advancements.
• Contribute to the development of best practices in R programming and data analysis.
• Provide technical support and training to other team members on Rstudio usage.
• Participate in crossfunctional projects involving Rstudio and data analytics.
• Contribute to the development and maintenance of datadriven dashboards.
• Assist in the integration of Rbased solutions with existing systems and tools.
• Communicate effectively with stakeholders to understand and address their data needs.

Required qualifications

• Bachelors degree in Computer Science Mathematics Statistics or related field.

1. Resources with R studio skills
2. 2) Knowledge of data science tools and languages that be used within those tools is the primary requirement
3. 3) Work is understanding what the SAS code is doing( with support from business SMEs) and then rewriting into R/Dataiku and testing that the new code will produce the same results as the SAS code

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r programming,machine learning,sas,rstudio,data science