Back
Metro locations, popular Data Scientist title, and known consultancy brand increase applicant competition.
Core data science skills are transferable, though R focus and energy domain preference add moderate domain bias.
Specific R and tooling requirements are mandatory, but no years specified, creating moderate filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and deploy data science solutions using R programming and related tools.
Perform data manipulation, statistical analysis, machine learning, and visualization to support project goals.
Utilize Databricks and Agile methodologies to manage data pipelines and version control.
Strong proficiency in R programming including RStudio and tidyverse packages (dplyr, tidyr).
Experience in machine learning techniques such as caret, randomForest, xgboost.
Familiarity with data visualization tools like ggplot2 and Shiny dashboards.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced with end-to-end data science projects in a professional environment involving statistical analysis and machine learning.
Comfortable working in Agile delivery frameworks with Git/version control.
Preferably has exposure to energy sector domain (nice-to-have).