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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # SAS/Python Model Validation and Modernization Developer - **Company:** BLN24 - **Location:** McLean, VA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Cloud Computing, Computer Programming, Continuous Integration, Python (Programming Language), NumPy, Tensorflow, SAS (Software), SAS/Base, SQL Databases, Google Cloud, Macros, Model Validation, Git, SC Clearance, Pandas, Containerization, Scikit Learn, Information Technology, Xgboost - **Published:** June 12, 2026 - **Apply:** http://bln24.applytojob.com/apply/jobs/details/TzQAMjPq9n ## About the Role * Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Technology, or related field. * 4+ years of experience developing analytical solutions using SAS and Python. * Strong experience with SAS Base Programming, SAS Macros, and SAS analytical workflows. * Strong Python programming skills, including experience with Pandas, NumPy, and SQL. * Experience testing, validating, and analyzing statistical or predictive models. * Experience conducting model performance evaluations and impact analyses. * Experience migrating SAS applications, scripts, or workflows to Python. * Strong understanding of algorithms, data analysis, and quantitative methodologies. * Excellent analytical, troubleshooting, and problem-solving skills. * Strong communication and documentation skills. * Ability to work independently and as part of a team. * U.S. Citizenship required., * Previous experience supporting the U.S. Census Bureau or other federal statistical agencies. * Active or previously held Census Bureau suitability determination, Public Trust, Secret Clearance, or equivalent federal clearance. * Experience with survey processing systems, demographic analysis, economic statistics, or federal statistical programs. * Experience with machine learning frameworks such as Scikit-Learn, XGBoost, or TensorFlow. * Experience with cloud platforms such as AWS, Azure, or Google Cloud. * Familiarity with Git, CI/CD pipelines, and containerized environments. * Experience with SAS Viya and modern analytics platforms. Key Competencies: * Creative problem-solving with a strong visual and storytelling instinct * Curiosity and experimentation with emerging technologies, particularly AI * Strategic mindset with the ability to connect content to broader campaign goals * Strong collaboration and communication skills * Ability to balance speed, quality, and innovation ## Description * Test, validate, and analyze statistical, predictive, and analytical models. * Evaluate model performance and assess the impact of parameter, assumption, and business-rule changes. * Conduct scenario analysis, sensitivity testing, and what-if simulations to determine model behavior. * Analyze algorithms, calculations, and methodologies to identify opportunities for optimization and improvement. * Review existing SAS applications, scripts, and macros and develop migration strategies to Python. * Convert SAS code, workflows, and analytical processes into maintainable Python solutions. * Compare and validate SAS and Python outputs to ensure functional equivalency and accuracy. * Develop automated testing frameworks and validation processes for migrated applications. * Perform data analysis and investigate anomalies, inconsistencies, and unexpected model behavior. * Create technical documentation, validation reports, migration plans, and process diagrams. * Collaborate with business stakeholders, statisticians, developers, and project teams to implement analytical solutions. * Support modernization initiatives and continuous improvement of analytical systems and processes. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Vectorize all the things! 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