Job Details: Must Have Skills R, R Programming Machine Learning, Python, Statistical Modelling Using R Nice to have skills Python Data Structures Detailed Job Description Role Overview: Develop and deploy statistical and machine learning models using R programming to solve business problems, leveraging 5+ years of experience in a mid-level data science role. At least 5+ years of strong hands on experience in R programming, working with R Models, Developing Statistical Machine Learning Models using R Model Development: Build and implement models (e.g., regression, random forests) using R programming packages like caret, dplyr, and tidyr for predictive analytics. Productionization: Productionize R programming models using Bitbucket for version control, CI/CD pipelines, and collaboration with data engineering teams for scalable deployment. ETL Pipelines: Create and maintain ETL workflows in R programming to extract, transform, and load data from diverse sources using packages like data.table or dplyr. SQL Integration: Write complex SQL queries to preprocess data, integrating results into R programming workflows for modeling and analysis. Data Analysis & Visualization: Perform statistical analysis and create visualizations using R programming tools like ggplot2 or shiny to communicate insights to stakeholders. Collaboration & Documentation: Work with cross-functional teams to translate requirements into R programming solutions, documenting code and processes in Bitbucket repositories. Qualifications: Bachelor’s degree in a related field, with Mathematics backgroud 5+ years of R programming experience, expertise in Bitbucket, ETL, and SQL, with strong analytical and communication Minimum years of experience • >10 years