Senior Statistician​/Mathematician - Quality Assurance Framework; QAF Oversight & Monitoring

Required Qualifications:

• Bachelor’s degree in a relevant field, such as Statistics/ Mathematics or Computer Science, with a minimum of 17 years of experience or master’s degree with a minimum of 12 years of work experience.

• Strong in Statistics/ Mathematics application and QAF Oversight & Monitoring.

• Strong analytical and critical thinking skills to interpret complex data and draw meaningful conclusions.

• Experienced in utilization of the Quality Assurance Framework and standards.

• Experienced in advanced analytics, machine learning, and data integration methodologies.

• Experienced with intelligence databases, software, and analytical tools.

• Ability to work collaboratively with users and stakeholders.

• Capacity to adapt to changing situations to prioritize tasks effectively.

• Excellent communication, analytical, and problem-solving skills.

Preferred Qualifications:

• Master’s degree in a relevant field, such as Statistics/ Mathematics or Computer Science.

• Experience working in the customer environment is preferred.

Security Clearance:

This Position requires an Active TS/SCI and the ability to obtain a CI Poly, US Citizenship is required to hold this clearance.

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:

The Senior 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 apply 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.

• Prepares 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 identify areas of improvement.

• Facilitate knowledge sharing and best practices across the organization.

• Design and execute Testing, Evaluation, Verification, and Validation (TEVV) protocols.

• Evaluate the performance, robustness, and fairness of AI systems in all source analysis contexts.

• Develop and apply statistical models and methods to analyze 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.