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Peraton · 4 months ago

Expert Computer Scientist - Quality Assurance Framework (QAF) Oversight & Monitoring

Herndon, VA

Full-time

Onsite

Senior Level, Lead/Staff

$135K/yr - $216K/yr

20+ years exp

Peraton is a next-generation national security company that drives missions of consequence around the globe. They are seeking an Expert Computer Scientist to focus on Quality Assurance Framework (QAF) Oversight & Monitoring, utilizing expertise in data systems and software to enhance military intelligence programs.

Information TechnologyRobotics

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

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

Qualification

Algorithm developmentMachine learningData integrationQuality Assurance FrameworkData structuresAdvanced analyticsStatistical modelsAnalytical skillsProblem-solving skillsCommunication skillsCritical thinkingCollaboration