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Statistics Validator Jobs in Virginia (NOW HIRING)

Educates the organization on approaches, such as testing hypotheses and statistical validation of result * Helps the organization understand the principles and the math behind the scientist process ...

Educates the organization on approaches, such as testing hypotheses and statistical validation of result * Helps the organization understand the principles and the math behind the scientist process ...

Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs). * Apply expert ...

Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs). * Apply expert ...

Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs). * Apply expert ...

Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs). * Apply expert ...

Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs). * Apply expert ...

Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs). * Apply expert ...

Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs). * Apply expert ...

Showing results 41-60

Statistics Validator information

What is a statistics validator?

Statistics Validators are professionals who verify the accuracy, integrity, and reliability of statistical data and analyses. They review datasets, methodologies, and statistical outputs to ensure that findings are valid and meet relevant standards. Their work is crucial in research, government, and industry settings, where credible data is essential for decision making. By checking for errors, inconsistencies, and biases, Statistics Validators help maintain the quality and trustworthiness of statistical information.

What are the primary challenges a statistics validator faces when ensuring data integrity within a project?

Statistics Validators often encounter challenges related to data quality, such as incomplete datasets, inconsistent formats, or errors introduced during data collection and entry. They must meticulously review data sources, cross-check results, and ensure that statistical methodologies are correctly applied. Collaboration with data analysts, researchers, and IT teams is essential to resolve discrepancies and maintain high data standards. Staying up-to-date with industry best practices and regulatory requirements also plays a crucial role in overcoming these challenges.

What are the key skills and qualifications needed to thrive as a statistics validator, and why are they important?

To thrive as a Statistics Validator, you need a strong background in statistics, data analysis, and quality assurance, often supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, or SPSS, as well as proficiency in data validation frameworks and reporting tools, is typically required. Attention to detail, critical thinking, and strong communication skills help ensure the accuracy and clarity of validated data. These skills and qualities are crucial for maintaining data integrity, supporting decision-making, and upholding the credibility of statistical results.

What is the difference between Statistics Validator vs Data Analyst?

AspectStatistics Validator
Required CredentialsTypically a degree in statistics, mathematics, or related field; certifications like CAP or ASA are common
Work EnvironmentPrimarily office-based, working with data validation processes, quality assurance, and compliance
Employer & IndustryFinancial institutions, research organizations, government agencies, and data-driven companies
Comparison with Data Analyst

The main difference between a Statistics Validator and a Data Analyst lies in their focus. A Statistics Validator specializes in verifying the accuracy and integrity of statistical data, ensuring compliance with standards. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require strong statistical knowledge, the validator emphasizes quality assurance, whereas the analyst emphasizes data interpretation and reporting.

How do you become a statistics validator?

To become a statistics validator, candidates typically need a bachelor's degree in statistics, mathematics, or a related field, along with strong analytical skills and experience with data analysis tools like Excel or statistical software. Gaining familiarity with data validation techniques and obtaining relevant certifications, such as the Certified Data Management Professional (CDMP), can enhance qualifications for this role.

Is a statistics validator job in demand?

Statistics validator roles are in demand in industries such as finance, healthcare, and research, where data accuracy is critical. These jobs often require strong analytical skills and proficiency with statistical software, and demand is expected to grow as data-driven decision-making increases across sectors.

What are popular job titles related to Statistics Validator jobs in Virginia?

For Statistics Validator jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Statistics Validator jobs in Virginia look for?

The top searched job categories for Statistics Validator jobs in Virginia are:

What cities in Virginia are hiring for Statistics Validator jobs?

Cities in Virginia with the most Statistics Validator job openings:

Infographic showing various Statistics Validator job openings in Virginia as of August 2026, with employment types broken down into 72% Full Time, 19% Part Time, and 9% Contract. Highlights an 100% In-person job distribution.

Senior SAS/Python Model Validation and Modernization Developer

BLN24

Mclean, VA • On-site

Full-time

Re-posted 13 days ago


Job description

Job Summary:
BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in achieving their mission and goals. They are seeking a Senior SAS/Python Model Validation and Modernization Developer to support statistical model validation and modernization efforts, focusing on migrating legacy SAS applications to Python-based solutions.
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.
Qualifications:
Required:
• 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:
• 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.
Company:
BLN24 is a digital agency that provides marketing, media production, and UX design services. Founded in 2006, the company is headquartered in Mclean, USA, with a team of 11-50 employees. The company is currently Early Stage.