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

Peraton-posted 3 months ago
$146,000 - $234,000/Yr
Reston, VA
5,001-10,000 employees
Professional, Scientific, and Technical Services
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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. The 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.

  • 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.
  • 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.
  • Master's degree in a relevant field, such as Statistics/ Mathematics or Computer Science, etc., with a minimum of 20 years of work experience.
  • Expertise 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.
  • Doctorate degree in a relevant field, such as Statistics/ Mathematics or Computer Science.
  • Experience working in the customer environment is preferred.
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