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Senior SAS/Python Model Validation and Modernization Developer

BLN24
McLean, VA

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Job Details

Full-time

Benefits

Dental insurance
Vision insurance

Qualifications

Predictive modeling analysis
SAS
Technical documentation
NumPy
SAS language
SQL
Pandas
Production validation processes
Data-driven problem-solving
Technical writing experience within technology
Test validation method
Model evaluation
Statistical analysis tools

Full Job Description

Job Title: Senior SAS/Python Model Validation and Modernization Developer

Company: BLN24

About Us: We find strength in teamwork-a better you is a better 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 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.

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

What BLN24 brings to the Game:
BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of — physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans.

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 at 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.

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