Data Scientist

Location: Suffolk, VA, Virginia, United States

Requisition Number: 29243

Required Travel: 11 - 25%

Employment Type: Full Time/Salaried/Exempt

Anticipated Salary Range: $-$

Security Clearance: Secret

Level of

Experience:

Senior

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.

• 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/Dev Sec Ops  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

• 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

• 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/Dev Sec Ops  pipelines and secure model deployment
• Experience supporting joint, multi-domain, or coalition operations
• Relevant certifications (AWS, Kubernetes, Security+, CISSP, or similar)

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.