Celestar Corporation is seeking an Expert Statistician/Mathematician (QAF Oversight & Monitoring) to support The Defense Intelligence Agency (DIA) under the Object Based Intelligence and Quality Assurance (OBIQUA) task order. The primary place of performance will be at DIA Facilities across the National Capital Region (NCR). If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity.
ANTICIPATED AWARD: December 2025/ January 2026
ANTICIPATED START: February/March 2026
PERIOD OF PERFORMANCE: 1 Base Year + 3 Option Years
LOCATION: DIA Facilities across the National Capital Region (NCR)
CLEARANCE REQUIREMENT: Active TS/SCI with a Current CI Poly
About Us:
Celestar, a proud Veteran-Owned company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off.

REQUIRED QUALIFICATIONS/SKILLS:

• Minimum 20 years of experience conducting analysis relevant to the

specific labor category with at least a portion of the experience within the last 2 years.

• Master’s degree in an area related to the labor category from a college

or university accredited by an agency recognized by the U.S. Department of Education.

• Demonstrates ability to define problems, supervise studies and lead surveys to collect and analyze data to provide advice and recommend solutions.
• Demonstrates analytic leadership and expertise in identifying, planning, developing, and executing analytic production methodologies, tradecraft and techniques aligned with labor category mission.
• Demonstrates extensive ability to provide strategic advice, technical guidance and expertise to Defense planners and policymakers.

This opportunity will support multiple DIA initiatives, including the Machine-Assisted Rapid-Repository System (MARS), Object Management Services (OMS), and Object-Based Intelligence (OBI).

• The Expert Statistician/Mathematician, (QAF Oversight & Monitoring), Develops and applies fundamental mathematics, mathematical or statistical theory to collect, organize, interpret and summarize numerical data to generate usable information to solve a wide range of intelligence problems.
• Applies mathematical theories and statistical methods to solve practical problems.
• Develops mathematical or statistical models of phenomena for analysis or computational simulation.
• Designs complex metrics projects that apply valid scientific techniques and utilize information obtained from baselines or historical data to structure analyses.
• Plans and performs data collection for projects, determining types/sizes of sample groups and prepares data for processing by organizing information and checking for inaccuracies.
• Processes large amounts of data for statistical modeling and graphic analysis (metrics).
• Develops computer code to automate the collecting and processing of data.
• Produces results of analyses in graphs, charts, tables, and metrics. Prepares products to describe and document findings and activities.
• Conduct audits to ensure compliant use of AI systems for approved use-cases in all source analysis
• Evaluate: AA performance and adherence to tradecraft standards and identify areas for improvement.
• Develop and maintain a repository of audit findings and recommendations to facilitate knowledge sharing and best practices across the organization.
• Design and execute TEVV protocols to 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.
• Collaborate with stakeholders to 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.
• Develop and refine methodologies for evaluating AI system performance, robustness, and fairness in all source analysis contexts.
• Collaborate with stakeholders to develop and implement best practices for AI system development, testing, and deployment.
• Publish and present research findings on AI assurance methodologies and best practices.
• Supports capability development by contributing, editing, and storing code in Government owned/controlled source version control repositories.