Job Description

Senior Statistician/Mathematician - Quality Assurance Framework (QAF) Oversight & Monitoring

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face.

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:

• 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.

Qualifications:

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.

Target Salary Range: $135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at

Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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