Expert Computer Scientist; QAF Oversight & Monitoring - OBIQUA

Celestar Corporation is seeking an Expert Computer Scientist (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 you meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity.

ANTICIPATED AWARD: TBD

ANTICIPATED START: TBD

PERIOD OF PERFORMANCE: 1 Base Year + 4 Option Years

LOCATION: DIA Facilities across the National Capital Region (NCR)

CLEARANCE REQUIREMENT: Active TS/SCI with a Current CI Poly

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.

• Employs mathematics, statistics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and/or other scientific techniques to correlate complex, technical findings into graphical, written, visual, and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
• Develops and utilizes machine learning and data mining algorithms, including, but not limited to, Multiple Information Model Synthesis Architecture (MIMOSA) prediction algorithms based on open‑source capabilities.
• Integrates or codes algorithms to support Government intelligence search and discovery missions.
• Makes best‑practice recommendations on managing data within hardware, software, storage, and bandwidth constraints. Employs data science techniques to support predictive analysis, social media and crowd‑source data analytics, wargaming, and strategy development.
• Employs exploratory analysis and rapid iteration techniques of large volumes of data to quickly derive intelligence.
• Prepares products to describe and document findings and activities.
• Designs and executes Testing, Evaluation, Verification, and Validation (TEVV) protocols to evaluate the performance, robustness, and fairness of AI systems in all source analysis contexts.
• Collaborates with the Statistician/Mathematician to develop and apply statistical models and methods to analyze TEVV results and identify areas for improvement.
• Develops and implements corrective actions to address TEVV findings and ensure AI system performance and robustness.
• Develops and implements AI system maintenance schedules to ensure continued system performance and robustness.
• Collaborates with stakeholders to identify and prioritize AI system improvements and updates.
• Develops and implements AI system updates and improvements to ensure compliance with tradecraft standards and best practices.
• Conducts technical assessments to ensure compliant use of AI systems for approved use cases in all source analysis.
• Evaluates AI system performance and adherence to tradecraft standards and identifies areas for improvement.
• Develops and maintains a repository of audit findings and recommendations to facilitate knowledge sharing and best practices across the organization.
• Supports capability development by contributing, editing, and storing code in Government‑owned/controlled source version control repositories.

• Minimum 20 years of experience conducting analysis relevant to the specific labor category, with at least a portion of that experience within the last two 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.
• At least 8 years of experience in AI implementation, with an advanced degree in computer science, data science, or a related field.
• Expertise in AI algorithms, model development, TEVV, and operationalization.
• Demonstrated ability to work independently and with minimal oversight.
• Active…