Prescient Edge is seeking a SME-Computer Scientist (QAF Accreditation) to support a federal government client. Please note that the availability of this position is contingent upon contract award.
SME-Computer Scientist (QAF Accreditation) Description:
Employs mathematics, statics, 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, 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.
Specific QAF Duties:
• 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. • 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 AI system development, testing, and deployment. • 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.
Supports capability development by contributing, editing, and storing code in government owned/controlled source version control repositories.