Prescient Edge
Senior Computer Scientist (QAF Accreditation)
Prescient Edge, Virginia, Minnesota, United States, 55792
Senior Computer Scientist (QAF Accreditation) - (2702)
Job Description
Prescient Edge is seeking a
SME- Statistician/Mathematician (QAF Accreditation)
to support a federal government client. Please note that the availability of this position is contingent upon contract award.
At
Prescient Edge , we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes:
A competitive salary with performance bonus opportunities.
Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
A substantial retirement plan with no vesting schedule.
Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
A positive work environment where employees are respected, supported, and engaged.
Description
Employs 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 to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
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.
Specific QAF duties
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.
Job Requirements Desired experiences
Minimum 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years.
Desired education
Master’s Degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education: or have a bachelor’s degree related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related Senior experience for a total of 17 years, as a substitute to the master’s degree.
Security Clearance
Security clearance required TS/SCI with CI POLY or the ability to obtain CI POLY.
Location
NCR to include Maryland and Virginia.
About Prescient Edge Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization’s success.
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SME- Statistician/Mathematician (QAF Accreditation)
to support a federal government client. Please note that the availability of this position is contingent upon contract award.
At
Prescient Edge , we believe that acting with integrity and serving our employees is the key to everyone's success. To that end, we provide employees with a best-in-class benefits package that includes:
A competitive salary with performance bonus opportunities.
Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
A substantial retirement plan with no vesting schedule.
Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
A positive work environment where employees are respected, supported, and engaged.
Description
Employs 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 to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
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.
Specific QAF duties
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.
Job Requirements Desired experiences
Minimum 12 years of experience related to the specific labor category with at least a portion of the experience within the last 2 years.
Desired education
Master’s Degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education: or have a bachelor’s degree related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related Senior experience for a total of 17 years, as a substitute to the master’s degree.
Security Clearance
Security clearance required TS/SCI with CI POLY or the ability to obtain CI POLY.
Location
NCR to include Maryland and Virginia.
About Prescient Edge Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization’s success.
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