Data Scientist

Vosper Thornycroft Group

Chantilly (VA)

On-site

USD 140,000 - 190,000

Full time

5 days ago
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Job summary

Vosper Thornycroft Group seeks an experienced Data Scientist to support evaluation, integration, and application of AI/ML capabilities within a customer environment in Chantilly, VA. You will assess emerging technologies, analyze multimedia data, and apply deepfake detection methodologies, while coordinating with engineers and analysts to integrate capabilities into cloud-based systems.

The role requires TS/SCI with Polygraph, a relevant technical degree, and strong analytical, written, and

Qualifications

  • Active TS/SCI with Polygraph.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • Demonstrated experience providing data science support for the evaluation or implementation of AI/ML capabilities.
  • Experience evaluating, testing, or working with machine learning and artificial intelligence technologies.
  • Demonstrated experience conducting multimedia forensics or analysis, including images, video, and/or audio.
  • Experience with deepfake creation and detection methods.
  • Experience supporting or developing systems utilizing cloud services and cloud infrastructure.
  • Experience providing technical support for the integration, coordination, and documentation of COTS capabilities within a customer environment.
  • Strong analytical and problem-solving skills.
  • Ability to evaluate technical capabilities and communicate findings to technical and non-technical stakeholders.
  • Strong written and verbal communication skills.

Responsibilities

  • Provide data science support for evaluation, testing, and integration of new AI/ML capabilities within the customer environment.
  • Assess emerging AI/ML technologies to determine their effectiveness and applicability to customer requirements.
  • Conduct analysis and forensic examination of multimedia data, including images, video, and audio.
  • Apply current methodologies and technologies for deepfake and synthetic media detection and analysis.
  • Maintain awareness of evolving deepfake generation techniques and corresponding detection approaches.
  • Support the integration, coordination, testing, and documentation of new COTS technologies.
  • Support the development and integration of systems leveraging cloud services and cloud infrastructure.
  • Work with technical teams to integrate data science and AI/ML capabilities into existing customer systems and workflows.
  • Support the collection, processing, analysis, and lifecycle management of publicly available information (PAI) used to address mission requirements.
  • Assist with evaluating data sources, technical capabilities, and processing methods used within existing customer environments.
  • Document technical findings, evaluations, system capabilities, and recommendations.
  • Collaborate with engineers, analysts, data scientists, and other stakeholders to support technical and mission objectives.

Skills

Data science
AI/ML
Multimedia forensics
Cloud infrastructure
Analytical skills
Communication

Education

Bachelor's degree in Computer Science/Engineering

Job description

Overview

We are seeking an experienced Data Scientist to support the evaluation, integration, and application of emerging Artificial Intelligence and Machine Learning (AI/ML) capabilities within a customer environment. This role will focus on assessing new AI/ML technologies, analyzing multimedia data, supporting deepfake detection and forensic analysis, and integrating technical capabilities into cloud-based environments.

What will you do?
  • Provide data science support for the evaluation, testing, and integration of new AI/ML capabilities within the customer environment.
  • Assess emerging AI/ML technologies to determine their effectiveness and applicability to customer requirements.
  • Conduct analysis and forensic examination of multimedia data, including images, video, and audio.
  • Apply current methodologies and technologies for deepfake and synthetic media detection and analysis.
  • Maintain awareness of evolving deepfake generation techniques and corresponding detection approaches.
  • Support the integration, coordination, testing, and documentation of new Commercial Off-the-Shelf (COTS) technologies.
  • Support the development and integration of systems leveraging cloud services and cloud infrastructure.
  • Work with technical teams to integrate data science and AI/ML capabilities into existing customer systems and workflows.
  • Support the collection, processing, analysis, and lifecycle management of publicly available information (PAI) used to address mission requirements.
  • Assist with evaluating data sources, technical capabilities, and processing methods used within existing customer environments.
  • Document technical findings, evaluations, system capabilities, and recommendations.
  • Collaborate with engineers, analysts, data scientists, and other stakeholders to support technical and mission objectives.
Do you have what it takes?
  • Active TS/SCI with Polygraph
  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or an equivalent combination of education, technical certifications, training, and relevant professional experience.
  • Demonstrated experience providing data science support for the evaluation or implementation of AI/ML capabilities.
  • Experience evaluating, testing, or working with machine learning and artificial intelligence technologies.
  • Demonstrated experience conducting multimedia forensics or analysis, including images, video, and/or audio.
  • Experience with current deepfake creation and detection methods.
  • Experience supporting or developing systems utilizing cloud services and cloud infrastructure.
  • Experience providing technical support for the integration, coordination, and documentation of COTS capabilities within a customer environment.
  • Strong analytical and problem-solving skills.
  • Ability to evaluate technical capabilities and communicate findings to technical and non-technical stakeholders.
  • Strong written and verbal communication skills.
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