Senior SAS/Python Model Validation and Modernization Developer

🕒 October 16

🇺🇸 United States – Remote

💵 $85k - $95k / year

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Dynamo Technologies, LLC

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

💼 Consulting

🏛️ Government

🔒 Cybersecurity

Consulting • Government • Cybersecurity

Dynamo Technologies, LLC is a technology and government contracting firm that delivers digital transformation and mission-focused IT services for public sector clients. The company blends human-centered design, agile and DevOps practices, No Code/Low Code development, cybersecurity, data analytics, and programmatic support to modernize government operations and support DoD and federal programs. Dynamo also invests in R&D and AI initiatives, partners with data science firms, and provides program planning, research, finance, and engineering services to deliver secure, user-centered solutions at scale.

📋 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 • Analyze algorithms, calculations, and methodologies to identify optimization and improvement opportunities • 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 for 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 • Support modernization initiatives and continuous improvement of analytical systems and processes

🎯 Requirements

• 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 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 • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Technology, or related field • Ability to obtain a Public Trust clearance • Nice to have: Previous experience supporting the U.S. Census Bureau or other federal statistical agencies • Nice to have: Active or previously held Census Bureau suitability determination, Public Trust, Secret Clearance, or equivalent federal clearance • Nice to have: Experience with survey processing systems, demographic analysis, economic statistics, or federal statistical programs • Nice to have: Experience with machine learning frameworks such as Scikit-Learn, XGBoost, or TensorFlow • Nice to have: Experience with cloud platforms such as AWS, Azure, or Google Cloud • Nice to have: Familiarity with Git, CI/CD pipelines, and containerized environments • Nice to have: Experience with SAS Viya and modern analytics platforms

🏖️ Benefits

• No travel requirement • Equal Opportunity employer

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume