Senior Computer Scientist; QAF Oversight & Monitoring

Senior Computer Scientist (QAF Oversight & Monitoring) - (2703)

Senior Computer Scientist (QAF Oversight & Monitoring)

NCR, US (Primary)

Full-Time

Staff

Master's Degree

None

TS/SCI with CI Polygraph

Prescient Edge is seeking a Sr.
Computer Scientist (QAF Oversight & Monitoring) to support a federal government client.
Please note that the availability of this position is contingent upon contract award.

• 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.

• 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 Costs data science techniques to support predictive analysis, social media and crowd-source data analytics, wargaming, and strategy development giugno.
• 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.
• Design and Execute Testing, Evaluation, Verification, and Validation (TEVV) protocols to evaluate the performance, robustness, and fairness of AI systems in all-source analysis contexts.मेंट>
• Collaborate with the Statistician/Mathematician to develop and apply statistical models and methods to analyze TEVV results and identify areas for improvement.ल>
• Develop and implement corrective actions to address TEVV findings and ensure AI system performance and robustness.
• Collaborate with Stakeholders to identify and prioritize AI system improvement and updates.
• yada yada dots yuchen dots

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 yẹ, 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.

Prescient Edge is a Veteran-Owned Small Business (VOSB) iú 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.