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About the role
' Data scientists / Developer with R programming - One of the RESP model's baseline is built on R, NESO getting this from external source which need modifying. o Solid proficiency in R programming (RStudio, tidyverse dplyr, tidyr) o Experience in data manipulation, statistical analysis, and visualization o Knowledge of machine learning techniques (caret, randomForest, xgboost) o Experience with data visualization tools (ggplot2, Shiny dashboards) o Understanding of statistics, probability, and data modeling concepts o Familiarity with Databricks and data pipelines o Experience with Git/version control and Agile delivery .
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