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Data Scientist - Manager

Confidential Client•Aerospace & Defense
Entry LevelFull-timeOn-SiteN/A
Chantilly, Virginia
A Day Ago

The Data Scientist - Manager at Confidential Client will lead the integration and evaluation of commercial AI/ML-based synthetic media detection solutions within a secure production environment. This role requires expertise in system engineering, data science, and multimedia forensics to support deepfake detection technology adoption, working closely with internal teams and vendors under strict security clearance requirements.

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Description

About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Information Technology & Services.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.


Role Overview

Confidential Client is piloting synthetic-media (deepfake) detection capabilities in a production environment. We’re hiring a Data Scientist - Manager to lead integration and evaluation of one or more Commercial Off-The-Shelf (COTS) SaaS AI/ML detection products, provide multimedia forensic expertise, and develop requirements for broader adoption across Sponsor workflows and cloud infrastructure.


What You’ll Do

  • Support integration of Sponsor-selected COTS deepfake-detection solutions into existing workflows and IT systems
  • Coordinate with internal teams and vendor technical points of contact to document integration steps, test plans, and results
  • Design, execute, and report on test use cases to evaluate AI/ML COTS performance on real-world multimedia (images, video, audio)
  • Develop technical and operational requirements for full adoption of detection technology
  • Provide forensic multimedia analysis and subject-matter expertise on deepfake creation/detection methods
  • Interface with system engineering, cloud, and operational teams to ensure scalable deployment and lifecycle support

Required Qualifications

  • Must be a U.S. citizen
  • Active Top Secret SCI clearance with Polygraph required (existing clearance only)
  • Demonstrated systems engineering experience integrating and documenting COTS capabilities into customer environments
  • Demonstrated data science experience evaluating AI/ML capabilities in production or pilot settings
  • Experience designing and running evaluation/test cases and reporting measurable results
  • Experience working with cloud services and cloud infrastructure for solutions deployment
  • Proven multimedia forensics experience (images, video, audio) and working knowledge of current deepfake creation and detection techniques

Preferred / Optional Skills

  • Project management experience supporting technical pilots or integrations
  • Experience using MS Teams and collaboration platforms for cross-team coordination
  • Familiarity with lifecycle processes for handling publicly available information to address specific requirements
  • Prior experience integrating solutions within Sponsor-like environments that collect and process publicly available information

Compensation & Benefits

  • Salary: Up to $250,000 (salary is commensurate with education and experience)
  • Benefits include Medical, Dental, Vision, Health Savings Account (HSA), Paid Time Off, Holidays, Employee Assistance Program (EAP), team/social events, 401(k), tuition assistance, and other standard programs

Security & Eligibility

This role requires handling classified or controlled information. Candidates must already hold the required clearance (Active Top Secret SCI with Polygraph) and be able to maintain eligibility. U.S. citizenship is required.


Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.

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