Statistical Programmer
Solliciteren
Plaats
BrusselsBelgië
België
Contract
Vooltijds, Onbepaalde duurDatum gepubliceerd
2026-03-04Online to:
2026-05-03EUR 15.00 HOUR
Statistical Programmer
Statistical Programmer / Data Scientist - Forecasting System Migration
Yearly B2B contract (freelance)
Location Brussels-Haren (once a week)
About the Role We are seeking a skilled Statistical Programmer or Data Scientist to lead the migration of our forecasting system from SAS to R on the Posit platform. This is an excellent opportunity to modernize a critical analytics platform while working with cutting-edge tools and methodologies. Required Skills R Programming Strong proficiency in R for statistical analysis and forecasting Experience with R packages for time series analysis (forecast, prophet, etc.) Ability to write clean, efficient, and maintainable R code SQL Solid SQL skills for data extraction, transformation, and manipulation Experience working with relational databases Ability to optimize queries for performance Preferred Skills SAS Familiarity with SAS programming to understand legacy codebase Experience translating SAS procedures to R equivalents Knowledge of SAS forecasting methodologies Posit Platform Experience with Posit Workbench, Connect, or Package Manager Understanding of the Posit ecosystem for enterprise R deployment Familiarity with RStudio IDE and publishing workflows Cloud & Data Platforms Hands-on experience with Databricks for large-scale data processing Azure cloud platform experience Understanding of cloud-based analytics architectures Modern Development Practices AI/ML model development and deployment DevOps practices and tooling Git version control CI/CD pipeline implementation Agile/Scrum methodologies Responsibilities Translate existing SAS forecasting models and workflows to R Deploy solutions on the Posit platform Collaborate with stakeholders to ensure business continuity during migration Optimize and modernize forecasting processes Document code and create knowledge transfer materials Implement best practices for version control and code deployment
About the Role We are seeking a skilled Statistical Programmer or Data Scientist to lead the migration of our forecasting system from SAS to R on the Posit platform. This is an excellent opportunity to modernize a critical analytics platform while working with cutting-edge tools and methodologies. Required Skills R Programming Strong proficiency in R for statistical analysis and forecasting Experience with R packages for time series analysis (forecast, prophet, etc.) Ability to write clean, efficient, and maintainable R code SQL Solid SQL skills for data extraction, transformation, and manipulation Experience working with relational databases Ability to optimize queries for performance Preferred Skills SAS Familiarity with SAS programming to understand legacy codebase Experience translating SAS procedures to R equivalents Knowledge of SAS forecasting methodologies Posit Platform Experience with Posit Workbench, Connect, or Package Manager Understanding of the Posit ecosystem for enterprise R deployment Familiarity with RStudio IDE and publishing workflows Cloud & Data Platforms Hands-on experience with Databricks for large-scale data processing Azure cloud platform experience Understanding of cloud-based analytics architectures Modern Development Practices AI/ML model development and deployment DevOps practices and tooling Git version control CI/CD pipeline implementation Agile/Scrum methodologies Responsibilities Translate existing SAS forecasting models and workflows to R Deploy solutions on the Posit platform Collaborate with stakeholders to ensure business continuity during migration Optimize and modernize forecasting processes Document code and create knowledge transfer materials Implement best practices for version control and code deployment
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