Data Scientist 3 - 29243
HIIAbout the role
Requisition Number: 29243
Required Travel: 11 - 25%
Employment Type: Full Time/Salaried/Exempt
Anticipated Salary Range: $103,467.00 - $145,000.00
Security Clearance: Secret
Level of Experience: Senior
This opportunity resides with Global Security (GS). Mission Technologies’ Global Security (GS) group comprises live, virtual, constructive (LVC) solutions; fleet sustainment; nuclear and environmental; and Australia business.
As a trusted partner to our military customers, HII designs, develops and operates the largest LVC enterprise that prepares warfighters for cross-domain battle. With advanced technologies to enable mission readiness, HII understands that preparation requires full coordination—not readiness in piece-parts.
For more than 40 years, the U.S. Navy has entrusted HII to maintain and modernize the vast majority of its fleet. With a holistic approach to life-cycle maritime defense systems—from small watercraft to submarines, surface combatants and aircraft carriers—HII ensures a high state of readiness.
HII supports the Department of Energy’s national security mission through the management and operation of its sites, as well as the safe cleanup of legacy waste across the country. HII meets clients’ toughest nuclear and environmental challenges.
Leadership Mindset at HII – Mission Technologies
Leadership at HII is a mindset, not a title. Through our Leadership Capability Framework, we define how every employee grows, leads, and contributes—regardless of role. It sets the standard for how you can develop yourself and what you can expect from leaders across our organization. We look for candidates who want to grow in alignment with these capabilities:
- Know & Grow Your People – Commit to learning and supporting team success.
- Build Relationships – Communicate openly, collaborate well, and build trust.
- Take Ownership – Deliver on commitments and take pride in your work.
- Customer First – Focus on the mission and those we serve.
- Shape the Future – Bring ideas, curiosity, and continuous improvement.
- Act with Urgency – Take initiative and follow through with purpose.
These capabilities guide how all employees contribute to our shared success across Mission Technologies.
Summary
Mission Technologies, a division of Huntington Ingalls Industries, is seeking an experienced Data Scientist to support the Joint Training Synthetic Environment (JTSE) and JLVC Modernization effort under the Joint Staff J7 (JS J-7) contract. This role focuses on advancing data-driven capabilities within joint training, simulation, and synthetic environments.
What You Will Do
• Lead end-to-end data science workflows, including problem definition, data acquisition, feature engineering, model development, deployment, and lifecycle monitoring
• Translate operational and training objectives into data-driven approaches and define analytical requirements for AI/ML integration into JTSE and Joint Training Tools
• Design and maintain scalable data pipelines and architectures for real-time and near-real-time ingestion, processing, and analysis
• Develop, train, and optimize machine learning models—including large-scale and foundation models—to enhance simulation and decision-support capabilities
• Ensure data interoperability, quality, and consistency across multiple sources and systems
• Integrate AI/ML models into simulation and synthetic environments, including FISE, to enable advanced analytics and scenario generation
• Support exercise planning, execution, and after-action analysis using predictive analytics, anomaly detection, and performance metrics
• Define and enforce data standards, schemas, and governance practices
• Conduct model testing, validation, and performance evaluations
• Identify and mitigate risks related to data quality, model bias, scalability, and performance
• Support MLOps/DevSecOps practices for secure, reproducible, and continuous delivery
• Collaborate with cross-functional government, industry, and mission partners
• Document data pipelines, models, methodologies, and analytical findings for technical and non-technical audiences
What You Must Have
• 5 years of related experience with a Bachelor’s degree; 3 years with a Master’s; 0 years with a PhD/JD; or 9 years of relevant experience with a high school diploma
• Hands-on experience building and deploying machine learning or statistical models in operational environments
• Strong knowledge of data processing, ar
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