{"schemaVersion":"jobsearcher.job.v1","id":"4bd377772787dfbd8f130982","url":"https://jobsearcher.com/jobs/4bd377772787dfbd8f130982","canonicalUrl":"https://jobsearcher.com/jobs/4bd377772787dfbd8f130982","title":"Senior SAS/Python Model Validation and Modernization Developer","description":"Job Description:\n\nWe are seeking a Senior SAS/Python Model Validation and Modernization Developer to join our team. The successful candidate will support statistical model validation, algorithm analysis, and modernization efforts focused on migrating legacy SAS applications and processes to Python-based solutions. This role will work closely with analysts, statisticians, data scientists, and business stakeholders to evaluate model performance, conduct what-if analyses, validate outputs, and ensure the accuracy and reliability of mission-critical analytical systems. Candidates with prior U.S. Census Bureau experience or an active/previous federal clearance are highly preferred.\n\nDuties/ Responsibilities\n\nTest, validate, and analyze statistical, predictive, and analytical models.\nEvaluate model performance and assess the impact of parameter, assumption, and business-rule changes.\nConduct scenario analysis, sensitivity testing, and what-if simulations to determine model behavior.\nAnalyze algorithms, calculations, and methodologies to identify opportunities for optimization and improvement.\nReview existing SAS applications, scripts, and macros and develop migration strategies to Python.\nConvert SAS code, workflows, and analytical processes into maintainable Python solutions.\nCompare and validate SAS and Python outputs to ensure functional equivalency and accuracy.\nDevelop automated testing frameworks and validation processes for migrated applications.\nPerform data analysis and investigate anomalies, inconsistencies, and unexpected model behavior.\nCreate technical documentation, validation reports, migration plans, and process diagrams.\nCollaborate with business stakeholders, statisticians, developers, and project teams to implement analytical solutions.\nSupport modernization initiatives and continuous improvement of analytical systems and processes.\n\nRequired Skills/Abilities\n\n4+ years of experience developing analytical solutions using SAS and Python.\nStrong experience with SAS Base Programming, SAS Macros, and SAS analytical workflows.\nStrong Python programming skills, including experience with Pandas, NumPy, and SQL.\nExperience testing, validating, and analyzing statistical or predictive models.\nExperience conducting model performance evaluations and impact analyses.\nExperience migrating SAS applications, scripts, or workflows to Python.\nStrong understanding of algorithms, data analysis, and quantitative methodologies.\nExcellent analytical, troubleshooting, and problem-solving skills.\nStrong communication and documentation skills.\nAbility to work independently and as part of a team.\nCreative problem-solving with a strong visual and storytelling instinct.\nCuriosity and experimentation with emerging technologies, particularly AI.\nStrategic mindset with the ability to connect content to broader campaign goals.\nStrong collaboration and communication skills.\nAbility to balance speed, quality, and innovation.\nU.S. Citizenship required.\n\nNice to Have Skills\n\nPrevious experience supporting the U.S. Census Bureau or other federal statistical agencies.\nActive or previously held Census Bureau suitability determination, Public Trust, Secret Clearance, or equivalent federal clearance.\nExperience with survey processing systems, demographic analysis, economic statistics, or federal statistical programs.\nExperience with machine learning frameworks such as Scikit-Learn, XGBoost, or TensorFlow.\nExperience with cloud platforms such as AWS, Azure, or Google Cloud.\nFamiliarity with Git, CI/CD pipelines, and containerized environments.\nExperience with SAS Viya and modern analytics platforms.\n\nEducation and Experience:\n\nBachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Technology, or related field.\n\nTravel Requirement:\n\nNo travel requirement.\n\nClearance Requirement:\n\nAbility to obtain a Public Trust clearance\nU.S. Citizenship required.\n\nSalary Range: The salary range for this position represents Dynamo's good-faith estimate of the compensation expected to be offered at the time of hire. Actual compensation will be determined based on several factors, including, but not limited to, the responsibilities of the role, the candidate's experience, skills, education, work location, and internal equity.\n\n85K-95k annually\n\nDynamo is a full lifecycle digital transformation company providing best-in-class technology and mission support services to our clients. Dynamo’s mission is to lead the digital transformation industry and provide best-in-class solutions for our clients with a truly human touch.\n\nWe leverage industry leading practices to empower our clients, ultimately providing them with the necessary tools, knowledge, and information required to successfully achieve their strategic goals, while optimizing their operations.\n\nThrough our partnerships, boldness, and authenticity, Dynamo goes against the grain of a traditional government contracting company by providing top-caliber team members, delivering quality results, and always exceeding expectations.\n\nDynamo Technologies is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, disability, protected veteran status, age, or any other characteristic protected by law.","company":"Dynamo Technologies","rawCompany":"dynamo technologies","city":"Myrtle Point","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-10-17T08:17:28.222Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2041.00","title":"Statisticians","slug":"statisticians"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"921190","title":"Other General Government Support","slug":"other-general-government-support"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior SAS/Python Model Validation and Modernization Developer","description":"Job Description:\n\nWe are seeking a Senior SAS/Python Model Validation and Modernization Developer to join our team. The successful candidate will support statistical model validation, algorithm analysis, and modernization efforts focused on migrating legacy SAS applications and processes to Python-based solutions. This role will work closely with analysts, statisticians, data scientists, and business stakeholders to evaluate model performance, conduct what-if analyses, validate outputs, and ensure the accuracy and reliability of mission-critical analytical systems. Candidates with prior U.S. Census Bureau experience or an active/previous federal clearance are highly preferred.\n\nDuties/ Responsibilities\n\nTest, validate, and analyze statistical, predictive, and analytical models.\nEvaluate model performance and assess the impact of parameter, assumption, and business-rule changes.\nConduct scenario analysis, sensitivity testing, and what-if simulations to determine model behavior.\nAnalyze algorithms, calculations, and methodologies to identify opportunities for optimization and improvement.\nReview existing SAS applications, scripts, and macros and develop migration strategies to Python.\nConvert SAS code, workflows, and analytical processes into maintainable Python solutions.\nCompare and validate SAS and Python outputs to ensure functional equivalency and accuracy.\nDevelop automated testing frameworks and validation processes for migrated applications.\nPerform data analysis and investigate anomalies, inconsistencies, and unexpected model behavior.\nCreate technical documentation, validation reports, migration plans, and process diagrams.\nCollaborate with business stakeholders, statisticians, developers, and project teams to implement analytical solutions.\nSupport modernization initiatives and continuous improvement of analytical systems and processes.\n\nRequired Skills/Abilities\n\n4+ years of experience developing analytical solutions using SAS and Python.\nStrong experience with SAS Base Programming, SAS Macros, and SAS analytical workflows.\nStrong Python programming skills, including experience with Pandas, NumPy, and SQL.\nExperience testing, validating, and analyzing statistical or predictive models.\nExperience conducting model performance evaluations and impact analyses.\nExperience migrating SAS applications, scripts, or workflows to Python.\nStrong understanding of algorithms, data analysis, and quantitative methodologies.\nExcellent analytical, troubleshooting, and problem-solving skills.\nStrong communication and documentation skills.\nAbility to work independently and as part of a team.\nCreative problem-solving with a strong visual and storytelling instinct.\nCuriosity and experimentation with emerging technologies, particularly AI.\nStrategic mindset with the ability to connect content to broader campaign goals.\nStrong collaboration and communication skills.\nAbility to balance speed, quality, and innovation.\nU.S. Citizenship required.\n\nNice to Have Skills\n\nPrevious experience supporting the U.S. Census Bureau or other federal statistical agencies.\nActive or previously held Census Bureau suitability determination, Public Trust, Secret Clearance, or equivalent federal clearance.\nExperience with survey processing systems, demographic analysis, economic statistics, or federal statistical programs.\nExperience with machine learning frameworks such as Scikit-Learn, XGBoost, or TensorFlow.\nExperience with cloud platforms such as AWS, Azure, or Google Cloud.\nFamiliarity with Git, CI/CD pipelines, and containerized environments.\nExperience with SAS Viya and modern analytics platforms.\n\nEducation and Experience:\n\nBachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Technology, or related field.\n\nTravel Requirement:\n\nNo travel requirement.\n\nClearance Requirement:\n\nAbility to obtain a Public Trust clearance\nU.S. Citizenship required.\n\nSalary Range: The salary range for this position represents Dynamo's good-faith estimate of the compensation expected to be offered at the time of hire. Actual compensation will be determined based on several factors, including, but not limited to, the responsibilities of the role, the candidate's experience, skills, education, work location, and internal equity.\n\n85K-95k annually\n\nDynamo is a full lifecycle digital transformation company providing best-in-class technology and mission support services to our clients. Dynamo’s mission is to lead the digital transformation industry and provide best-in-class solutions for our clients with a truly human touch.\n\nWe leverage industry leading practices to empower our clients, ultimately providing them with the necessary tools, knowledge, and information required to successfully achieve their strategic goals, while optimizing their operations.\n\nThrough our partnerships, boldness, and authenticity, Dynamo goes against the grain of a traditional government contracting company by providing top-caliber team members, delivering quality results, and always exceeding expectations.\n\nDynamo Technologies is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, disability, protected veteran status, age, or any other characteristic protected by law.","datePosted":"2026-10-17T08:17:28.222Z","dateModified":"2026-10-17T08:17:28.222Z","hiringOrganization":{"@type":"Organization","name":"Dynamo Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Myrtle Point","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4bd377772787dfbd8f130982"},"url":"https://jobsearcher.com/jobs/4bd377772787dfbd8f130982"}}