
Expert Computer Scientist - Quality Assurance Framework (QAF) Accreditation
- Reston, VA Herndon, VA
- Permanent
- Full-time
- Employ 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.
- Correlate complex, technical findings into graphical, written, visual and verbal narrative products.
- Assess trends for existing data to identify and leverage other data sources.
- Develop and utilize machine learning and data mining algorithms, including, but not limited to, Multiple Information Model Synthesis Architecture (MIMOSA) prediction algorithms based on open-source capabilities.
- Integrate or code algorithms to support Government intelligence search and discovery missions.
- Make best practice recommendations on managing data within hardware, software, storage, and bandwidth constraints.
- Employ data science techniques to support predictive analysis, social media and crowd-source data analytics, wargaming, and strategy development.
- Review and evaluation of QAF documentation submitted by advanced analytic product owners.
- Ensure compliance with tradecraft standards and adherence to best practices in Artificial Intelligence (AI) system development and deployment.
- Assess QAF documentation for completeness, accuracy, and thoroughness, and provide detailed feedback to advanced analytic product owners and developers.
- Support maintaining a QAF documentation repository to facilitate knowledge sharing and best practices.
- Collaborate with product owners and developers to identify and address potential issues or gaps in QAF documentation.
- Develop and deliver training materials and workshops to educate advanced analytic product owners, developers, and stakeholders on the QAF process and its application in AI system development.
- Assist analytic methodologists and advanced analytic product 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.
- Master’s degree in a relevant field, such as Computer Science, with a minimum of 20 years of work experience.
- Expertise in algorithm development, data structures, and software development practices.
- Strong analytical and critical thinking skills to interpret complex data and draw meaningful conclusions.
- Experienced in utilization of the Quality Assurance Framework and standards.
- Experienced in advanced analytics, machine learning, and data integration methodologies.
- Experienced with intelligence databases, software, and analytical tools.
- Ability to work collaboratively with users and stakeholders.
- Capacity to adapt to changing situations to prioritize tasks effectively.
- Excellent communication, analytical, and problem-solving skills.
- Doctorate degree in a relevant field, such as Computer Science.
- Experience working in the customer environment is preferred.