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Expert Computer Scientist - Quality Assurance Framework; QAF Accreditation

Job in Herndon, Fairfax County, Virginia, 22070, USA
Listing for: Peraton
Full Time position
Listed on 2025-11-11
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 135000 - 216000 USD Yearly USD 135000.00 216000.00 YEAR
Job Description & How to Apply Below
Position: Expert Computer Scientist - Quality Assurance Framework (QAF) Accreditation

Overview

Expert Computer Scientist - Quality Assurance Framework (QAF) Accreditation

Locations: US-VA-Herndon; US-VA-Reston

Requisition :
• Position Category:
Scientific, Research & Analysis
• Clearance:
Top Secret/SCI w/ Poly

Responsibilities

Peraton has an opportunity for you to join our military intelligence program(s) of record to deliver, operate and sustain modernized, transformed data science/data analysis environments worldwide that enable speedy and precise decision making to warfighters.

Responsibilities are, but are not limited to:

  • Computer Science specific:
    Employ mathematics, statistics, 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-sourced data analytics, wargaming, and strategy development.
QAF Specific
  • Review and evaluation of QAF documentation submitted by advanced analytic product owners.
  • 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 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.
Qualifications

Required Qualifications
  • 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.
  • Experience in utilizing the Quality Assurance Framework and standards.
  • Experience in advanced analytics, machine learning, and data integration methodologies.
  • Experience with intelligence databases, software, and analytical tools.
  • Ability to work collaboratively with users and stakeholders.
  • Capacity to adapt to changing situations and prioritize tasks effectively.
  • Excellent communication, analytical, and problem-solving skills.
Preferred Qualifications
  • Doctorate degree in a relevant field, such as Computer Science.
  • Experience working in the customer environment is preferred.
Security Clearance

This Position requires an Active TS/SCI and the ability to obtain a CI Poly. US Citizenship is required to hold this clearance.

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading…

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