General Dynamics Mission Systems · 3 days ago
Senior Data Scientist - AI/ML Specialist
Huntsville, AL
Full-time
Onsite
Senior Level, Lead/Staff
$191K/yr - $212K/yr
8+ years expGeneral Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. They are seeking a Senior Data Scientist - AI/ML Specialist to support the design and implementation of AI/ML-enabled capabilities for missile defense mission areas, collaborating with various teams and ensuring alignment with system objectives.
AerospaceBusiness Information SystemsInformation ServicesInformation TechnologyNational SecuritySensor
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Support the design, guidance, and implementation of AI/ML-enabled capabilities for missile defense mission areas
Contribute across multiple phases of the mission lifecycle, supporting analytical, modeling, simulation, and decision-support activities related to detection, tracking, discrimination, fire control, and engagement functions within a complex system-of-systems environment
Collaborate with systems engineers, domain experts, and software developers to identify appropriate problem formulations and opportunities for the application of AI/ML techniques
Developing and curating training and evaluation datasets from diverse sources
Defining data management and labeling strategies
Designing scalable training, testing, and validation infrastructure consistent with program constraints and security requirements
Guiding the selection, development, and integration of AI/ML models into existing analytical, modeling, and simulation frameworks
Ensuring alignment with system architectures, interfaces, and performance objectives
Supporting model evaluation, uncertainty characterization, robustness assessments, and lifecycle considerations such as retraining, configuration management, and traceability
Contribute to the establishment of best practices, standards, and governance for AI/ML usage
Documentation, verification and validation approaches, and coordination with broader digital engineering and systems engineering processes
Providing guidance and subject matter expertise to the Digital Ecosystem and Platforms team for the SE&I Team's AI adoption strategy
Identification, evaluation, and integration of Large Language Model(s)
Use case specific AI tooling such as SysML modeling and Integrated Development Environment (IDE) plug-ins
Qualification
Required
Requires a Bachelor's degree in Engineering, or a related Science, Technology or Mathematics field
Also requires 10+ years of job-related experience, or a Master's degree plus 8 years of job-related experience
Department of Defense Secret security clearance is required at time of hire
Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information
Due to the nature of work performed within our facilities, U.S. citizenship is required
Demonstrated experience applying multiple Artificial Intelligence and/or Machine Learning techniques (e.g., artificial neural networks, Bayesian belief networks, decision trees) to complex technical or analytical problems
Experience working with data-centric workflows, including data preparation, curation, labeling, and quality assessment for analytical or modeling purposes
Familiarity with the full AI/ML lifecycle, including model development, training, testing, validation, and iterative improvement
Experience collaborating with multidisciplinary teams, including systems engineering, software development, and domain subject matter experts
Ability to translate high-level mission or system objectives into well-defined analytical or computational problem statements
Experience documenting technical approaches, assumptions, and results in a clear and structured manner suitable for engineering and programmatic review
Understanding of basic software engineering practices, including version control, modular design, and reproducibility
Ability to work within established program constraints, including security, configuration management, and governance processes
Preferred
Experience applying AI/ML techniques within complex, distributed, or system-of-systems environments
Familiarity with modeling and simulation, digital engineering, or analytical frameworks used to support system design, assessment, or decision support
Experience with scalable training, testing, or evaluation infrastructure, including compute resource management and automation
Exposure to uncertainty quantification, robustness analysis, model verification and validation, or performance assessment methodologies
Experience supporting data governance, model traceability, or lifecycle management in regulated or mission-critical environments
Familiarity with explainable AI concepts or techniques and their application in engineering or decision-support contexts
Experience working in government, defense, aerospace, or other highly regulated technical domains
Ability to communicate technical concepts effectively to both technical and non-technical stakeholders
Experience supporting transition of analytical or AI/ML capabilities from development environments into operationally relevant workflows
Familiarity with hardware, programming languages, scientific computing environments, and resource management tools commonly used for data analysis and modeling to include graphical processing units (GPUs), Python / MATLAB / SQL, High Performance Computing (HPC) clusters and SLURM
Benefits
Flexible work environment
Highly competitive benefits
Shared sense of purpose
Company
General Dynamics Mission Systems
General Dynamics Mission Systems designs and delivers critical systems and products for defense and cybersecurity customers. It is a sub-organization of General Dynamics.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Bo Elam
VP and CFO
Scott Butler
Senior Vice President Program Execution
Recent News
Washington Technology
2026-01-17
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