Senior SAS/Python Model Validation and Modernization Developer

BLN24; McLean (VA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Remote working opportunities

Work-life balance

Job summary

BLN24 is seeking a Senior SAS/Python Model Validation and Modernization Developer to support statistical model validation and algorithm analysis for the U.S. Federal Government. The successful candidate will migrate legacy SAS applications to Python-based solutions and work alongside analysts and data scientists to ensure accuracy and reliability of analytical systems.

Applicants should have a Bachelor's degree and over four years of experience in SAS and Python. Preferred candidates will have experience with the U.S. Census Bureau and federal clearances.

Qualifications

• 4+ years of experience developing analytical solutions using SAS and Python.
• Strong experience with SAS Base Programming and SAS analytical workflows.
• Experience migrating SAS applications to Python solutions.

Responsibilities

• Test, validate, and analyze statistical models.
• Conduct scenario analysis and sensitivity testing.
• Develop automated testing frameworks for migrated applications.

Skills

SAS Base Programming

Python programming

Statistical model validation

SAS Macros

Pandas

SQL

Data analysis

Algorithm analysis

Documentation skills

Problem-solving

Education

Bachelor’s degree in Computer Science or related field

Tools

SAS

Python

Cloud platforms

Git

Job description

Senior SAS/Python Model Validation and Modernization Developer

Company: BLN24

About Us

BLN24 is an award‑winning Management Consulting Firm that supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client’s end‑state, and then seamlessly integrating within each Agency’s organization to improve and enhance strategic and technical operations and deployments.

Position Overview

BLN24 is 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.

Key Responsibilities

• 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 equivalence 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Benefits

• You can join one of the fastest growing companies headquartered in the Washington DC Metro Area. We give you the opportunity to work in different sectors, so you have the chance for variety while maintaining stability.
• Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives. Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home.

BLN24 is an Equal Opportunity Employer. We believe people are our strength and understand diverse talents are key to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.