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.

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, architectures, and distributed systems
• Proficiency in Python or R and common data science libraries
• Experience with data wrangling, feature engineering, and exploratory data analysis
• Understanding of supervised/unsupervised learning and model evaluation
• Experience creating technical documentation
• Ability to work in cross-functional teams and manage multiple priorities
• Strong analytical and problem solving skills
• Experience working in Linux environments
• Must have an active Secret Clearance

Preferred Requirements
• Experience developing or fine-tuning large-scale or foundation models (LLMs, multimodal models).
• Familiarity with modern AI/ML frameworks.
• Experience deploying ML models into production systems or enterprise environments.
• Knowledge of real-time data processing and streaming technologies (Kafka).
• Familiarity with Joint Training and Simulation environments such as JTSE, JLVC, or similar DoD systems.
• Understanding of data governance, data standards, and enterprise data strategy.
• Experience with simulation data or synthetic environments.
• Familiarity with MLOps/DevSecOps pipelines and secure model deployment.
• Experience supporting joint, multi-domain, or coalition operations.
• Relevant certifications (AWS, Kubernetes, Security+, CISSP, or similar).

The listed salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, HII's Mission Technologies division takes a variety of factors into consideration which include, but are not limited to, the role's function and a candidate's education or training, work experience, and key skills.

HII is more than a job - it's an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application.