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