Senior Statistician / Mathematician
Sign up free to see how well your resume matches this role.
What you'll do
- Apply advanced statistical and mathematical methods to solve complex intelligence and AI assurance problems.
- Collect, organize, validate, and prepare numerical data for statistical analysis and modeling.
- Develop statistical and mathematical models for analysis, simulation, and performance evaluation.
- Design scientifically valid metrics and analytical methodologies using appropriate baselines, historical data, statistical testing, sampling, and experimental/test design.
- Process large and complex datasets and develop code or scripts to automate data collection, processing, modeling, and analysis.
- Review Quality Assessment Framework (QAF) documentation for completeness, accuracy, technical rigor, and compliance with applicable analytic tradecraft standards.
- Develop and apply statistical methods to evaluate AI system performance, robustness, fairness, and reliability.
- Design and execute TEVV protocols and analyze results to identify system performance improvements, deficiencies, and areas of risk.
- Conduct audits and analyze performance metrics to identify trends, patterns, risks, deficiencies, and opportunities for improvement.
- Produce graphs, charts, tables, metrics, written assessments, and other analytical products documenting findings and recommendations.
- Communicate and brief complex quantitative findings, analytical results, and recommendations to technical and nontechnical stakeholders.
What they're looking for
- Current TS/SCI security clearance with the ability to successfully complete a Counterintelligence (CI) polygraph.
- Master’s degree with at least 20 years of relevant experience.
- Demonstrated experience applying advanced statistical and mathematical theories and methods to complex intelligence, analytical, or technical problems.
- Extensive experience developing statistical and mathematical models, computational simulations, performance metrics, and quantitative analytical methodologies.
- Demonstrated expertise in statistical testing, sampling, experimental and test design, baseline analysis, and performance measurement.
- Experience processing and analyzing large, complex datasets and developing code or scripts to automate data collection, processing, modeling, and analysis.
- Ability to develop, analyze, and interpret performance metrics to identify trends, patterns, deficiencies, risks, and opportunities for improvement.
- Experience reviewing technical and analytical documentation for accuracy, completeness, methodological rigor, and compliance with applicable analytic tradecraft standards.
- Demonstrated ability to communicate complex quantitative findings through graphs, charts, tables, metrics, written assessments, and briefings to both technical and nontechnical stakeholders.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Company Overview:
ANSER enhances national and homeland security by strengthening public institutions. We provide thought leadership for complex issues through independent analysis, and we deliver practical, useful solutions. ANSER values collaboration, integrity, and initiative and we are client focused in all that we do. Because we were established for the purpose of public service and not for profit, we measure our success in the impact of our service.
Position Summary
ANSER is seeking a highly experienced Senior Statistician/Mathematician to support Defense Intelligence Agency (DIA) intelligence and AI assurance requirements through advanced statistical modeling, quantitative analysis, and rigorous evaluation of analytic and artificial intelligence (AI) system performance. The successful candidate will apply advanced statistical and mathematical methodologies to complex intelligence and technical challenges, develop quantitative models and performance metrics, and support testing, evaluation, verification, and validation (TEVV) activities. This position requires exceptional analytical expertise, technical rigor, and the ability to translate complex quantitative findings into actionable insights for both technical and nontechnical stakeholders.
Day to Day Responsibilities
- Apply advanced statistical and mathematical methods to solve complex intelligence and AI assurance problems.
- Collect, organize, validate, and prepare numerical data for statistical analysis and modeling.
- Develop statistical and mathematical models for analysis, simulation, and performance evaluation.
- Design scientifically valid metrics and analytical methodologies using appropriate baselines, historical data, statistical testing, sampling, and experimental/test design.
- Process large and complex datasets and develop code or scripts to automate data collection, processing, modeling, and analysis.
- Review Quality Assessment Framework (QAF) documentation for completeness, accuracy, technical rigor, and compliance with applicable analytic tradecraft standards.
- Develop and apply statistical methods to evaluate AI system performance, robustness, fairness, and reliability.
- Design and execute TEVV protocols and analyze results to identify system performance improvements, deficiencies, and areas of risk.
- Conduct audits and analyze performance metrics to identify trends, patterns, risks, deficiencies, and opportunities for improvement.
- Produce graphs, charts, tables, metrics, written assessments, and other analytical products documenting findings and recommendations.
- Communicate and brief complex quantitative findings, analytical results, and recommendations to technical and nontechnical stakeholders.
Required Qualifications
- Current TS/SCI security clearance with the ability to successfully complete a Counterintelligence (CI) polygraph.
- Master’s degree with at least 20 years of relevant experience.
- Demonstrated experience applying advanced statistical and mathematical theories and methods to complex intelligence, analytical, or technical problems.
- Extensive experience developing statistical and mathematical models, computational simulations, performance metrics, and quantitative analytical methodologies.
- Demonstrated expertise in statistical testing, sampling, experimental and test design, baseline analysis, and performance measurement.
- Experience processing and analyzing large, complex datasets and developing code or scripts to automate data collection, processing, modeling, and analysis.
- Ability to develop, analyze, and interpret performance metrics to identify trends, patterns, deficiencies, risks, and opportunities for improvement.
- Experience reviewing technical and analytical documentation for accuracy, completeness, methodological rigor, and compliance with applicable analytic tradecraft standards.
- Demonstrated ability to communicate complex quantitative findings through graphs, charts, tables, metrics, written assessments, and briefings to both technical and nontechnical stakeholders.
Individual salaries are determined by a variety of factors including but not limited to: business considerations, local market, internal equity, candidate qualifications such as skills, education and experience. ANSER provides employees benefits to support all aspects of their life including health, financial and well-being. For more information, please visit: http://www.anser.org
In compliance with the Americans with Disabilities Act (ADA), if you have a disability and would like to request an accommodation in order to apply for a position with ANSER, please call 703-416-2000 or e-mail Recruiting@anser.org
ANSER is proud to be an Equal Opportunity Employer. We seek individuals from a broad variety of backgrounds with varying levels of experience who have a desire to do meaningful work. We recruit, employ, train, compensate, and promote regardless of race, color, gender, religion, national origin, ancestry, disability, age, veteran status, sexual orientation, or any other characteristic protected by law.
Company
Company facts come from this company's own listings. We only show what the postings themselves carry.