Peraton has an opportunity for you to join our military intelligence program (s) of record to deliver, operate and sustain modernized, transformed data science/ data analysis environments worldwide that enable speedy and precise decision making to warfighters . Responsibilities: Th e Expert Statistician/Mathematician - Quality Assurance Framework (QAF) Oversight & Monitoring specializes in collecting, analyzing , and interpreting data to solve and predict/ mitigate complex intelligence problems by applying statistical methods to provide insights that inform decision making . This position will focus on QAF Oversight & Monitoring . Responsibilities are, but are not limited to: Statistician/Mathematician specifically : Develop and appl y mathematical theories and statistical methods to solve intelligence problems . Collect, organize, interpret and summarize data to inform decision making to solve a broad range of problems. Develop mathematical or statistical models of phenomena for analysis or computational simulation. Design complex metrics projects that apply valid scientific techniques and utilize information obtained from baselines or historical data . Plan and perform data collection for projects, determining types/sizes of sample groups and parameters. P repares data for processing by organizing information and checking for inaccuracies. Process large amounts of data for statistical modeling and graphic analysis / metrics. Develop software or work with developers to automate the collecting and processing of data. Produce the results of analyses in graphs, charts, tables, and metrics. Prepare products to describe and document findings and activities ; provide briefings to decision makers. QAF specific : Conduct audits to ensure compliant use of AI systems for approved use-cases in all source analysis. Evaluate advanced analytics performance and compliance with tradecraft standards. Develop and maintain a repository of audit findings and recommendations to i dentify areas of improvement . F acilitate knowledge sharing and best practices across the organization . Design and execute Testing, Evaluation, Verification, and Validation (TEVV) protocols. E valuate the performance, robustness, and fairness of AI systems in all source analysis contexts. D evelop and apply statistical models and methods to a nalyze TEVV results and identify areas for improvement. Develop and implement corrective actions to address TEVV findings . Develop and track performance metrics to evaluate the effectiveness of AI systems in all source analysis. Analyze and interpret performance metrics to identify trends, patterns, and areas for improvement . Collaborate with stakeholders to develop and implement data-driven decision-making processes to inform AI system development and improvement . Publish and present research findings on AI assurance methodologies and best practices . Support capability development by contributing, editing, and storing code in Government owned/controlled source version control repositories .