Company Overview: 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.

Responsibilities

Review and evaluate QAF documentation submitted by Advanced Analytic (AA) owners to ensure compliance with tradecraft standards and adherence to best practices in AI system development and deployment. Assess QAF documentation for completeness, accuracy, and thoroughness, and provide detailed feedback to AA owners and developers. Develop and utilize and data mining algorithms based on open-source capabilities.

Integrates or codes algorithms to support Government intelligence search and discovery missions. Make best practice recommendations on managing data within hardware, software, storage, and bandwidth constraints. Assist in maintaining a repository of QAF documentation to facilitate knowledge sharing and best practices across the organization.

Provide consultation and guidance to AA owners, developers, and stakeholders on the QAF process, including best practices for Al system development, testing, and Collaborate with AA owners and developers to identify and address potential issues or gaps in QAF documentation. Develop and deliver training materials and workshops to educate AA owners, developers, and stakeholders on the QAF process and its application in AI system development. Assist analytic methodologists and AA owners in translating technical documentation into analytic tradecraft compliant language.

Collaborate with stakeholders to develop, implement, and refine best practices for translating technical documentation into tradecraft compliant language. Review and edit translated documentation to ensure accuracy, completeness, and adherence to tradecraft standards. 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).

Required Qualifications

Active TS/SCI clearance with the ability to obtain and maintain a polygraph. Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related technical field. Twelve or more years of experience in data science, analytics, or machine learning.

Proficiency in Python, R, and SQL, and experience with data visualization tools such as Power BI or Tableau. Strong experience with predictive modeling, data mining, statistical analysis, and ML algorithms. , SPARQL, GraphQL).

Experience developing, implementing, and evaluating AI/ML models for analytic efficiency and tradecraft compliance.

Preferred Qualifications

Experience supporting DIA, IC, or DoD analytic modernization or OBI initiatives. Experience support of intelligence or defense missions Working knowledge of TEVV methodologies, bias detection, and fairness analysis for AI systems. Experience with distributed data processing, cloud-based analytics, or large-scale machine learning architectures.