Programmer - Programmer - Data Reporting - MS - MDCPS

Programmer (R Developer / Quantitative Analyst)
Location: Onsite – Jackson, MS
Contract Duration: ASAP – June 16, 2027
Schedule: Monday–Friday | 8:00 AM – 5:00 PM
Hours: 40 per week (Occasional Overtime)
Remote: No
Travel: None
Background Check: Standard HireRight (Package A)

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Position Overview
Varmoda is seeking a Programmer / Quantitative Analyst to support federal reporting initiatives.
Current coding and reporting processes cannot be validated and must be rewritten using modern industry standards. This role will focus on rebuilding statistical reporting models, documenting business rules, and ensuring compliance with federal requirements.
This is an individual contributor role responsible for researching, developing, validating, and maintaining statistical models in R.

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Key Responsibilities

• Rewrite legacy coding processes using current industry standards
• Research, develop, and maintain statistical reporting models in R
• Perform model development, back testing, validation, and deployment
• Conduct User Acceptance Testing (UAT)
• Document business rules, methodologies, and revision history
• Ensure regulatory compliance with federal reporting standards
• Build audit trails and implement data validation processes
• Deliver high-quality documentation and presentations
• Collaborate with functional and technical consultants for model deployment

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Required Skills & Experience

• 5+ years hands-on R programming experience
• Strong statistical background and model development expertise
• 5+ years building and delivering robust statistical models
• Experience in development, back testing, deployment, and UAT
• 5+ years R Studio
• 5+ years SQL / SQL Manager
• 5+ years R Development / Programming
• 5+ years experience validating statistical reporting models
• 1+ year experience with ADABAS/Natural
• 1+ year Agile methodology experience
• 1+ year Power BI experience
• Experience working in Windows 7 and Windows 10 environments

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Core Competencies (Scoring Criteria)

• Advanced proficiency in R (statistical modeling, scripting, reproducible reporting)
• Experience with federal reporting standards & regulatory compliance
• Ability to modernize legacy systems
• Strong documentation and governance practices
• Data validation and quality assurance expertise
• Quantitative research and analytical problem-solving skills
• Ability to work independently
• Strong communication skills (technical to non-technical audiences)
• Version control and structured model governance practices

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Education

• Bachelor''s Degree required

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Ideal Candidate Profile
The ideal candidate is a senior-level R Developer or Quantitative Analyst who has rebuilt legacy reporting environments, understands federal compliance requirements, and can independently deliver validated, production-ready statistical models with thorough documentation.