Data Scientist - Cleared (Multiple Levels)

Noblis; Chantilly (VA); On-site; USD 91,000 - 142,000; Full time

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

Responsibilities

Noblis is seeking Data Scientists at all experience levels with an active TS/SCI with a Polygraph to support mission-critical national security initiatives in Chantilly, Virginia.

Noblis is seeking Data Scientists at all experience levels with an active TS/SCI with a Polygraph to support mission-critical national security initiatives in Chantilly, Virginia.
As a Data Scientist, you will support the intelligence community by developing innovative, data-driven solutions to address mission-critical challenges. You will provide technical expertise to government customers through the development of machine learning, statistical analysis, and data mining solutions. You will collaborate with cross-functional teams including data scientists, software engineers, subject matter experts, and cyber analysts to apply advanced analytics, machine learning, and AI techniques. Additionally, you will contribute to the full model lifecycle, including model development, versioning, deployment, monitoring, and vulnerability identification.
Your work will directly contribute to capabilities such as object detection, data triage, search optimization, inference, facial recognition, behavior analysis, and automated decision-making.
The ideal candidate will have experience analyzing cyber data and applying data science methodologies to solve complex customer problems, with strong proficiency in Python and experience working with modern AI/ML technologies and cloud-based environments.

Key Responsibilities

• Analyze large volumes of structured and unstructured data using open-source datasets, statistical software, cloud services, and AI/ML technologies to identify meaningful patterns, relationships, and insights
• Support production AI/ML infrastructure and operations, including platform maintenance, issue triage, troubleshooting, and user support
• Support Kubernetes-based platform operations, including the use of management and deployment tools to maintain and optimize AI/ML environments
• Work with containerized model-serving environments, contributing to configuration updates, authentication, troubleshooting, and operational support for LLM and multimodal AI capabilities
• Explore and model data to identify relevant patterns, trends, relationships, and features of interest
• Design, develop, train, evaluate, and refine machine learning models to support mission-focused applications
• Collect, curate, clean, transform, and process large-scale structured and unstructured datasets for analytical and machine learning applications
• Research, implement, evaluate, and document analytical methodologies, models, and outcomes
• Leverage high-performance computing (HPC) resources, including GPU clusters and cloud-based platforms, to support large-scale data processing and model development
• Develop data visualizations and analytical products using tools such as Tableau to effectively communicate findings and recommendations to technical and non-technical stakeholders

#HighlyCleared

Required Qualifications

• Active Top Secret/SCI (TS/SCI) with Polygraph
• U.S. Citizenship is required

One Of The Following

Level I

• Bachelor's or Master's degree with 1 year of related experience including exposure or coursework in data science tools and technologies such as Python; OR Associate's degree with 3 years of related experience; OR High School diploma/GED with 6 years of related experience
• Compensation: $82,500 - $128,925

Level II

• Bachelor's degree with 3 years of related experience; OR Master's degree with 1 year of related experience; OR Associate's degree with 6 years of related experience; OR High School diploma/GED with 9 years of related experience
• Experience with data science tools and technologies, including analyzing data in Python
• Compensation: $90,700 - $141,775

Level III

• Bachelor's degree with 5 years of related experience; OR Master's degree with 3 years of related experience; OR Associate's degree with 8 years of related experience; OR High School diploma/GED with 11 years of related experience
• Experience with data science tools and technologies, including analyzing data in Python