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Statistics Validator information

What are Statistics Validators?

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 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.

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 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:
Statistics Validator jobs near you
Infographic showing various Statistics Validator job openings in Virginia as of June 2026, with employment types broken down into 67% Full Time, 26% Part Time, and 7% Nights. Highlights an 100% In-person job distribution.
Energy and Water Statistician

Energy and Water Statistician

Concurrent Technologies Corporation

Arlington, VA • On-site, Remote

Full-time

Posted 5 days ago

Job description

Energy and Water Statistician
Concurrent Technologies Corporation
Crystal City, VA
Minimum Clearance Required: N/A
Clearance Level Must Be Able to Obtain: Secret
Employee Background Check Required
As a trusted partner and leader in providing energy and sustainability consulting services to the federal government, Concurrent Technologies Corporation (CTC) understands the increasing complexity of achieving energy security and data management in a changing world. As part of the Energy, Resilience and Sustainability (ERS) Division, you will collaborate with experts to provide comprehensive policy, planning, and implementation services to deliver solutions that address critical infrastructure resilience and security, and data management issues and support the military mission, while reducing environmental impacts. We take our role seriously, as our efforts ensure our installations and assets are prepared in any operating environment, present and future.
CTC is seeking a highly motivated and qualified statistician with experience in energy and water resources and data center infrastructure planning. This mid-career role offers the opportunity to unify disparate water, energy, environmental, and mission support information into a single, structured analytical model designed specifically for data center siting. The position blends hands-on technical analysis, risk assessment, and client-facing activities. In this role, you will focus on developing a scalable, statistically driven risk assessment framework that prioritizes water and energy resource impact assessment and installation risk tolerance assessments to support the Department of the Air Force (DAF) in resilient data center siting. This is a hybrid position located in the Washington, D.C. area, with the flexibility to work from home while participating in some in-person client and team discussions at or near our Crystal City office. Candidates must be in the Washington, DC area or willing to relocate. Recurring in-office work may be required (e.g., every Monday) at client direction. This role provides a unique opportunity to develop expertise at the intersection of water and energy system operations, facility resilience, and mission assurance-key areas for ensuring the security and sustainability of government and defense infrastructure.
Key Responsibilities:
  • Statistical Model Development: Develop and apply statistically rigorous models to assess water and energy risks, define analytical parameters, and generate defensible, data-driven insights for data center prioritization at DAF installations.
  • Data Transformation & Analysis: Translate raw datasets (internal and external) into standardized, machine-readable parameters suitable for statistical modeling. Develop and document data transformation processes and analytical functions.
  • Risk Assessment: Analyze technical utility frameworks, energy and water supply technology capabilities, and data center requirements. Quantify installation-specific risks and resilience metrics.
  • Tool Integration & Verification: Integrate statistical models into the project's assessment tool. Conduct iterative testing and verification to ensure accuracy, repeatability, and defensibility of outputs.
  • Stakeholder Engagement: Collaborate with project leads, data engineers, research analysts, and government stakeholders to define model requirements, validate assumptions, and refine analytical approaches.
  • Documentation & Reporting: Prepare technical documentation, user guidance, and verification reports for model parameters, transformation logic, and tool outputs.

Basic Qualifications:
  • Master's degree or higher in Statistics, Applied Mathematics, Data Science, or a related quantitative field.
  • Minimum six (6) years of professional experience in statistical analysis, predictive modeling, or quantitative research
  • Demonstrated experience in statistical analysis, predictive modeling, and hypothesis testing.
  • Proficiency in statistical programming languages (e.g., R, Python, SAS) and data visualization tools.
  • Experience translating complex quantitative results into actionable recommendations for technical and non-technical audiences.
  • Familiarity with infrastructure risk assessment, water/energy systems, or resilience engineering is highly desirable.
  • Strong documentation and communication skills.
  • Ability to obtain and maintain a SECRET security clearance.

Preferred Qualifications:
  • Experience with federal or DoD infrastructure, energy, or water resource projects.
  • Knowledge of big-data architectures, AI/ML readiness, and integration with enterprise data systems.
  • Experience working in multidisciplinary teams and engaging with government stakeholders.

Why CTC?
  • Our teams at CTC are passionate and thrive on collaboration in a high-paced team environment
  • When we encounter a difficult problem, we have a variety of talented and diverse employees that work together to solve the toughest challenges
  • Competitive salary and benefits package
  • Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life
  • Visit www.ctc.com to learn more

Join us! CTC offers exceptional career growth, cutting edge technology, educational opportunities, and recognition for quality work.
https://concurrent-technologie...
Staffing Requisition: SR# 2026-0042
"We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law."

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