QAF-Accredited Computer Scientist - AI & Data Analytics

Prescient Edge; United States; On-site; USD 140,000 - 200,000; Full time

Job summary

Prescient Edge is seeking a SME-Computer Scientist (QAF Accreditation) to support a federal government client in a full-time role located in NCR, US. The position requires a Master’s degree and TS/SCI with CI Poly clearance, with responsibilities spanning data science, AI/ML, and advanced analytics to produce actionable intelligence.

The role includes developing and evaluating QAF documentation, training, and collaboration with AA owners and developers to advance AI system development, testing,

Qualifications

• Employs mathematics, statistics, information science, AI, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and other scientific techniques to correlate complex findings into narrative products.
• Develops and utilizes machine learning and data mining algorithms, prediction algorithms based on open-source capabilities.
• Integrates or codes algorithms to support Government intelligence search and discovery missions.
• Makes best practice recommendations on managing data within hardware, software, storage, and bandwidth constraints.
• Employs data science techniques to support predictive analysis, social media and crowd-source data analytics, wargaming, and strategy development.
• Employs exploratory analysis and rapid iteration techniques of large volumes of data to quickly derive intelligence.
• Prepares products to describe and document findings and activities.

Responsibilities

• Review and evaluate QAF documentation submitted by Advanced Analytic (AA) owners to 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 AA owners and developers.
• Assist in maintaining a repository of QAF documentation to facilitate knowledge sharing and best practices across the organization.
• Provide consultation and guidance to AA owners, developers, and stakeholders on the QAF process, including best practices for AI system development, testing, and deployment.
• Collaborate with AA owners and developers to identify and address potential issues or gaps in QAF documentation.
• Develop and deliver training materials and workshops to educate AA owners, developers, and stakeholders on the QAF process and its application in AI System Development.
• Assist analytic methodologists and AA 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.
• Supports capability development by contributing, editing, and storing code in government owned/controlled source version control repositories.

Skills

Machine learning

Data mining

AI techniques

Statistics

Data engineering

Data warehousing

Data protection

Network science

Probabilistic modeling

Exploratory analysis

Education

Master's Degree

Tools

Open-source capabilities

Version control (govt repositories)

Job description

Prescient Edge is seeking a SME-Computer Scientist (QAF Accreditation) to support a federal government client in a full-time role located in NCR, US. The position requires a Master’s degree and TS/SCI with CI Poly clearance, with responsibilities spanning data science, AI/ML, and advanced analytics to produce actionable intelligence.

The role includes developing and evaluating QAF documentation, training, and collaboration with AA owners and developers to advance AI system development, testing,