
Expert Computer Scientist - Quality Assurance Framework (QAF) Oversight & Monitoring
- 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.
- Employ exploratory analysis and rapid iteration techniques of large volumes of data.
- Prepare products to describe and document findings and activities.
- Design and execute Testing, Evaluation, Verification, and Validation (TEVV) protocols.
- 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.
- Analyze TEVV results and identify areas for improvement.
- Develop and implement corrective actions to address TEVV findings.
- Ensure AI system performance and robustness.
- Develop and implement AI system maintenance schedules.
- Ensure continued system performance and robustness.
- 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.