Peraton · 4 months ago
Expert Computer Scientist - Quality Assurance Framework (QAF) Accreditation
Peraton is a next-generation national security company that drives missions of consequence spanning the globe. The Expert Computer Scientist will utilize expertise in designing, developing, and maintaining data systems and software, focusing on Quality Assurance Framework (QAF) Accreditation to support military intelligence programs.
Information TechnologyRobotics
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
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
Qualification
Required
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
This Position requires an Active TS/SCI and the ability to obtain a CI Poly, US Citizenship is required to hold this clearance
Preferred
Doctorate degree in a relevant field, such as Computer Science
Experience working in the customer environment is preferred
Benefits
Medical
Dental
Vision
Life
Health savings account
Short/long term disability
EAP
Parental leave
401(k)
Paid time off (PTO) for vacation
Company paid holidays
Company
Peraton
Peraton Fearlessly solving the toughest national security challenges.
Funding
Current Stage
Late StageRecent News
Washington Technology
2026-01-22
2025-09-25
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