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This project for the Programmer – Data Reporting is to assist the client with federal reporting requirements. Current coding processes and reporting cannot be validated. The coding and reporting requirements will have to be rewritten using current industry standards, with business rules and revisions documented. This position is that of an individual contributor, a quantitative analyst role with responsibility for researching, developing, and maintaining statistical reporting models in R.
Job Responsibility:
Assist the client with federal reporting requirements
Rewrite coding and reporting requirements using current industry standards, with business rules and revisions documented
Research, develop, and maintain statistical reporting models in R
Requirements:
Advanced proficiency in R (statistical modeling, data manipulation, scripting, reproducible reporting)
Experience developing and validating statistical reporting models
Knowledge of federal reporting standards and regulatory compliance requirements
Ability to rewrite legacy coding processes using current industry standards
Documentation of business rules, methodologies, and revision history
Data validation, quality assurance, and audit trail development
Quantitative research and analytical problem-solving skills
Ability to work independently as an individual contributor
Communication skills (translating technical findings for non-technical stakeholders)
Version control, reproducibility practices, and structured model governance
Hands-on R programming knowledge
statistical background and understanding – 5+ years
Ability to build and deliver robust statistical models – 5+ years
Deliver high-quality documentation and presentations to support and maintain model and library use – 5+ years
Able to interact with functional and technical consultants to ensure successful model building and deployment – 5+ years