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# Data Scientist

- **Company:** CareerCircle
- **Location:** Washington, DC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $154,050.0 - $278,475.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Algorithm Design, Amazon Web Services, Data Analysis, Application Frameworks, Computing Platforms, Artificial Neural Networks, Computer Vision, Big Data, Cloud Computing, Cloud Engineering, Data Cleansing, Data Integration, Data Systems, Amazon DynamoDB, Statistical Hypothesis Testing, Intelligence Analysis, Python (Programming Language), Machine Learning, Natural Language Processing, Scrum Methodology, Software Maintenance, Cloud Services, Tensorflow, Salesforce.Com, Sensor Fusion, Software Engineering, Software Systems, Unstructured Data, Amazon Connect, Network Routing, Data Processing, Feature Engineering, Large Language Models, Multi-Agent Systems, Prompt Engineering, Deep Learning, Generative AI, AWS Lambda, Cloudformation, Information Technology, Transport Protocols, Machine Learning Operations, Cloudwatch, Restful APIs, Terraform, Amazon Lex, Data Pipelines, Serverless Computing, Software Library
- **Published:** August 22, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/va/reston/26c59e5c-45e2-4e9f-b92d-520c2195920d

## About the Role

Computer Science
Machine Learning
Agile Methodology
Unstructured Data
Influencing Skills
Advanced Analytics
Program Management
Software Solutions
Amazon Web Services
Resource Allocation
Predictive Modeling
Intelligence Agency
Feature Engineering
Software Engineering
Software Development
Instructional Design
Statistical Modeling
Enterprise Analytics
Intelligence Analysis
Cross-Domain Solutions
Artificial Intelligence
R (Programming Language)
Exploratory Data Analysis
Artificial Neural Networks
Verbal Communication Skills
Scrum (Software Development)
Python (Programming Language)
Influencing Without Authority
Statistical Hypothesis Testing
Natural Language Processing (NLP)
Weapons Of Mass Destruction (WMD), maintenance (O&M). The ideal candidate brings deep technical expertise, strong mission awareness, and the ability to communicate analytic insights to senior decision-makers., * U.S. Citizenship is required

 * Active TS/SCI w/ poly level clearance
 * Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field with 15+ years of relevant experience, or Bachelor's degree with 18+ years of relevant experience
 * Extensive experience applying data science and advanced analytics to complex, mission-focused problems
 * Expert-level proficiency in Python and/or R, including advanced data science and machine learning libraries
 * Strong experience working with large, complex datasets from multiple sources
 * Proven experience developing, testing, deploying, and maintaining software applications and AI models within a JWICS (Joint Worldwide Intelligence Communications System) network environment.
 * Understanding of secure cross-domain solutions (CDS), data-transfer protocols, and the deployment of MLOps pipelines across air-gapped systems
 * Demonstrated ability to lead technical efforts and influence analytic direction on large or complex programs
 * Strong written and verbal communication skills, including briefing senior leaders, * Experience in engineering data solutions within AWS (Amazon Web Services) GovCloud or Commercial Cloud Services (C2S).
 * Experience with Agile Scrum Development/Agile methodology.
 * Experience supporting intelligence community, Department of Defense, or other national security customers
 * Experience operating in classified computing environments
 * Expertise in one or more advanced domains such as machine learning, natural language processing, computer vision, graph analytics, or predictive modeling
 * Experience with cloud-based or enterprise analytics platforms
 * Demonstrated experience mentoring technical staff or serving as a technical lead
 * Demonstrated experience providing instruction, instructional design, or curriculum development

#ASBA, Innovation
TensorFlow
Scalability
Forecasting
Prototyping
Market Data
Time Series
Sensor Data
Data Quality
Data Science
Communication
Presentations
Collaboration
Deep Learning
Sensor Fusion
Risk Mitigation
Risk Management
Trustworthiness
Data Processing
Computer Vision
Ancient History
Computer Science
Data Integration
Machine Learning
Analytical Skills
Quality Assurance
Performance Metric
Progress Reporting
Literature Reviews
Data Preprocessing

## Description

Equities
Pipelines
Operations
Mentorship
Innovation
Statistics
Mathematics
Simulations
Market Data
Data Science
Communication
AI Algorithms
Cloud Services
Data Pipelines
Computer Vision
Ancient History, Leidos is seeking a Senior AI/Data Scientist to drive advanced AI development for a strategic Defense Threat Reduction Agency (DTRA) contract, executed in direct partnership with the Defense Intelligence Agency (DIA). You will work within a multi-disciplinary team of engineers, scientists, and software developers to physically and functionally characterize hardened facilities and Weapons of Mass Destruction (WMD) processes in order to create physics based models capable of supporting various simulations. This role supports customers operating in classified environments and requires close collaboration with subject matter experts, designers, engineers, analysts, and mission stakeholders to deliver innovative, operationally relevant data science and AI solutions. The Senior Data Scientist will lead complex analytics efforts across the full solution lifecycle-from problem definition and requirements development through design, implementation, deployment, and ongoing operations and, * Serve as a senior technical contributor and analytic lead on complex, high-impact national security programs

 * Partner with government customers and subject matter experts to define mission problems and analytic objectives
 * Translate ambiguous operational challenges into actionable data science requirements and solution designs
 * Design, develop, and deploy advanced analytics, statistical models, and machine learning solutions
 * Apply advanced data science techniques including exploratory data analysis, feature engineering, predictive modeling, hypothesis testing, and algorithm development
 + Architect and deploy advanced machine learning models (e.g., Physics-Informed Neural Networks, Generative AI) that fuse engineering data with first-principles physics.
 * Translate and integrate structured and unstructured data from diverse sources across classified environments into physical and functional characteristic models for hardened facilities and WMD processes to support effects-based simulations.
 * Communicate analytic findings, insights, and recommendations to senior technical and non-technical stakeholders. Bridge the gap between software engineers, intelligence analysts, and domain scientists to integrate data pipelines and transition proof-of-concepts into production.
 * Support deployment, monitoring, and ongoing operations and maintenance (O&M) of analytic solutions
 * Design, test, and deploy AI-driven software solutions to dramatically increase the efficiency, scale, and accuracy of engineering and scientific assessments.
 * Architect, deploy, and maintain advanced AI/ML pipeline components across disparate security enclaves, transitioning models from low-side development environments to the High Side.
 * Apply data science and AI algorithms to streamline overall program management, resource allocation, and mission execution metrics.
 * Mentor and guide junior data scientists and contribute to analytic standards, best practices, and reusable frameworks
 * Maintain awareness of emerging data science, AI, and big-data technologies relevant to national security missions, FedRAMP
Equities
Fallback
Terraform
LangChain
Claude AI
Governance
Salesforce
AWS Lambda
Opensearch
Amazon Lex
AI Testing
Market Data
RESTful API
Persistence
AWS Bedrock
Amazon Connect
Network Routing
Amazon DynamoDB
Ancient History
LLM Application
Machine Learning
Cloud Development
Amazon CloudWatch
AWS CloudFormation
Prompt Engineering
Workflow Management
Amazon Web Services
Multi-Agent Systems
Software Engineering
Serverless Computing
Solution Architecture
Artificial Intelligence
Python (Programming Language)
Retrieval Augmented Generation
Generative Artificial Intelligence
Application Programming Interface (API)
+0

Google IT Automation with Python
Transportation Data Scientist (AI Solutions)
Leidos

McLean, VA*On-Site

Physics
Research
Equities
Operations
Management
Automation, Big Data
Equities
Pipelines
Operations
Mentorship
Innovation
Statistics
Mathematics
Simulations
Market Data
Data Science
Communication
AI Algorithms
Cloud Services
Data Pipelines
Computer Vision
Ancient History


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