Senior Computer Scientist

Analytic Services Inc•Reston, VA

About The Position

ANSER enhances national and homeland security by strengthening public institutions. We provide thought leadership for complex issues through independent analysis, and we deliver practical, useful solutions. ANSER values collaboration, integrity, and initiative and we are client focused in all that we do. Because we were established for the purpose of public service and not for profit, we measure our success in the impact of our service. Position Summary ANSER is seeking a Senior Computer Scientist to support AI/ML Quality Assurance Framework (QAF) efforts by integrating mathematics, statics, information science, AI, 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.

Requirements

TS/SCI with Poly Clearance
Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related technical field.
Twelve or more years of related experience in data science, analytics, or machine learning in support of intelligence or defense missions.
High Proficiency in Python, R, and SQL, and experience with data visualization tools such as Power BI or Tableau.
Strong knowledge of TEVV methodologies, bias detection, and fairness analysis for AI systems.
Experience with predictive modeling, data mining, statistical analysis, and ML algorithms.
Experience with knowledge graphs, semantic data modeling, and query languages (e.g., SPARQL, GraphQL).
Experience developing, implementing, and evaluating AI/ML models for analytic efficiency and tradecraft compliance.
Understanding of DoD 8570/8140 compliance standards for computer science and cybersecurity roles.

Nice To Haves

Experience supporting DIA, IC, or DoD analytic modernization or OBI initiatives.
Experience with distributed data processing, cloud-based analytics, or large-scale machine learning architectures.
Demonstrated understanding of Object Based Intelligence frameworks.
Experience with DoD 8570/8140 compliance and responsible AI policy frameworks.
Experience working with in support of Defense Intelligence All-source Analytic Enterprise (DIAAE) OBI efforts, the Defense Intelligence Enterprise Knowledge Model (DIEKM), and Defense Intelligence Core Ontology (DICO).

Responsibilities

Design and execute Testing, Evaluation, Verification, and Validation (TEW) protocols to evaluate the performance, robustness, and fairness of AI systems in all source analysis ’contexts.
Collaborate with the Statistician/Mathematician to develop and apply statistical models and methods to analyze TEW results and identify areas for improvement.
Develop and implement corrective actions to address TEW findings and ensure AI system performance and robustness.
Develop and implement AI system maintenance schedules to ensure continued system performance and robustness.
Collaborate with stakeholders to identify and prioritize AI system improvements and updates.
Develop and implement AI system updates and improvements to ensure compliance with tradecraft standards and best practices.
Conduct technical assessments to ensure compliant use of AI systems for approved use cases in all source analysis.
Evaluate AI system 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.
Support capability development by contributing, editing, and storing code in Government owned/controlled source version control repositories.
Employ data science techniques to support predictive analysis, social across the Defense Intelligence Enterprise (DIE).