TS/SCI Data Scientist — Mission-Critical Analytics

Noblis

Chantilly (VA)

On-site

USD 91,000 - 142,000

Full time

3 days ago
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Job summary

Noblis is seeking Data Scientists of all experience levels to support mission-critical national security initiatives in Chantilly, Virginia. The role involves applying machine learning, statistical analysis, and data mining to help government customers and intelligence communities.

You will collaborate with data scientists, software engineers, and subject matter experts to develop scalable AI/ML solutions, contribute to the full model lifecycle, and deploy insights using cloud platforms and HPC

Qualifications

  • Active Top Secret/SCI with Polygraph required.
  • U.S. Citizenship required.
  • Experience with Python and data science tools.
  • Experience with HPC and cloud platforms.
  • Familiarity with AI/ML technologies and large-scale data processing.

Responsibilities

  • Analyze large volumes of structured and unstructured data to identify patterns and insights.
  • Support production AI/ML infrastructure and operations, including troubleshooting.
  • Support Kubernetes-based platform operations and model-serving environments.
  • Develop, train, evaluate, and refine machine learning models for mission-focused applications.
  • Collaborate with cross-functional teams to apply advanced analytics and AI techniques.
  • Leverage cloud and HPC resources for large-scale data processing and model development.
  • Develop data visualizations and analytical products to communicate findings.

Skills

Python
AI/ML techniques
Data analysis
Cloud environments
HPC

Education

Bachelor's degree
Master's degree

Tools

Tableau

Job description

Noblis is seeking Data Scientists of all experience levels to support mission-critical national security initiatives in Chantilly, Virginia. The role involves applying machine learning, statistical analysis, and data mining to help government customers and intelligence communities.

You will collaborate with data scientists, software engineers, and subject matter experts to develop scalable AI/ML solutions, contribute to the full model lifecycle, and deploy insights using cloud platforms and HPC

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