General Dynamics · 5 days ago
Senior Data Scientist - AI/ML Specialist
USA-AL-Huntsville
Full-time
Onsite
Senior Level, Lead/Staff
$191K/yr - $212K/yr
8+ years expGeneral Dynamics is a leading company in high technology solutions and services, seeking a Senior Data Scientist with expertise in AI/ML. The role involves supporting the design and implementation of AI/ML capabilities for missile defense, collaborating with various teams to develop and manage datasets, and ensuring the integration of AI/ML models within existing frameworks.
AerospaceNational SecurityPublic Transportation
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
Develop and curate training and evaluation datasets from diverse sources
Define data management and labeling strategies
Design scalable training, testing, and validation infrastructure consistent with program constraints and security requirements
Guide the selection, development, and integration of AI/ML models into existing analytical, modeling, and simulation frameworks
Support 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, including documentation, verification and validation approaches, and coordination with broader digital engineering and systems engineering processes
Provide guidance and subject matter expertise to the Digital Ecosystem and Platforms team for the SE&I Team's AI adoption strategy
Identify, evaluate, and integrate Large Language Model(s), as well as use case specific AI tooling such as SysML modeling and Integrated Development Environment (IDE) plug-ins
Qualification
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
Company
General Dynamics
General Dynamics is a defense industry contractor for shipbuilding, marine, combat and defense systems and, munitions.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$84.9M2010-09-10Grant· $30M
2009-12-30Grant· $33.6M
2009-08-05Grant· $21.3M
Leadership Team
Lauren Bradshaw, SHRM-CP
Global Mobility Business Partner/ EAP
Matthew Brandon, MSHR
Manager, Sr HR Business Partner
Recent News
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