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

Responsibilities

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. 

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. 

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