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Generalist Data Scientist, Bangalore metro, mid-level scope and broad R/ML requirements driving high applicant competition.
Core R and ML skills are transferable, though finance/energy consulting preference increases domain sensitivity.
Moderate technical stack requirements (R, ML, Databricks) without explicit years yields medium shortlisting strictness.
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Develop and implement data science solutions using R programming and machine learning techniques.
Perform data manipulation, statistical analysis, and create data visualizations including dashboards (e.g., using ggplot2 and Shiny).
Work with data pipelines using tools like Databricks and maintain code quality with Git/version control in an Agile/Scrum delivery environment.
Strong proficiency in R programming including RStudio and tidyverse packages (dplyr, tidyr).
Experience with machine learning libraries such as caret, randomForest, and xgboost.
Knowledge of data visualization tools (ggplot2, Shiny dashboards) and statistical/data modeling concepts.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in applying machine learning and statistical analysis within production or consulting environments.
Comfortable working with agile methodologies and version control systems like Git.
Capable of handling end-to-end data manipulation, modeling, and visualization tasks using R in a collaborative, fast-paced setting.