Data Scientist 3 - 29243

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)