Data Scientist 3

Requisition Number: 27918 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $103,467.00 - $125,000.00 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 team member contributes to our mission and culture: 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 a 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 developing advanced analytics, AI/ML models, and data architectures that enhance joint training, simulation, and decision support capabilities. What You Will Do • Lead end to end data science workflows, including problem definition, data acquisition, feature engineering, model development, evaluation, deployment, and lifecycle monitoring. • Translate operational and training objectives into data driven solutions by defining analytical approaches and data requirements for integrating advanced AI/ML models into JTSE and Joint Training Tools. • Design and maintain scalable data pipelines and architectures that support real time and near real time ingestion, processing, and analysis of operational and test & evaluation data. • Develop, train, and fine tune machine learning models — including large scale and foundation models to enhance simulation fidelity, decision support, and training outcomes. • Ensure data consistency and interoperability across multiple sources, systems, and stakeholders within a unified analytics environment. • Integrate AI/ML models into simulation and synthetic environments, including the Fully Informed Simulation Environment (FISE), to support advanced analytics and dynamic scenario generation. • Define, implement, and enforce data standards, schemas, and governance practices to ensure data quality and compliance. • Support exercise planning, execution, and after action analysis by enabling predictive analytics, anomaly detection, performance metrics, and other advanced analyses. • Collaborate with cross functional teams — including government stakeholders and mission partners — to align data science solutions with operational requirements and modernization goals. • Conduct model validation, testing, and performance assessments to ensure accuracy, robustness, and mission alignment. • Identify and mitigate risks related to data quality, model bias, scalability, and operational performance. • Support MLOps/DevSecOps practices to enable secure, repeatable, and continuous delivery of data science capabilities. • Document data pipelines, models, methodologies, and analytical findings for technical and non technical audiences What You Must Have • 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in related field; 0 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience. • Ability to obtain and maintain a Secret Clearance within 45 days of hire. • Experience building and deploying machine learning or statistical models in production or operational environments. • Strong knowledge of data processing, distributed data systems, and data architecture principles. • Proficiency in Python or R and experience with common data science libraries and toolkits. • Experience with data wrangling, feature engineering, and exploratory data analysis. • Understanding of AI/ML concepts including supervised/unsupervised learning, model evaluation, and performance metrics. • Experience preparing and maintaining technical documentation for datasets, models, and analytical workflows. • Ability to work within cross functional teams and manage multiple priorities. • Strong analytical reasoning and problem solving skills. • Experience working in Linux based environments. Preferred Requirements • Experience developing or fine tuning large scale or foundation models (LLMs, multimodal models). • Familiarity with modern AI/ML frameworks. • Experience deploying machine learning models into production or enterprise systems. • Knowledge of real time data processing and streaming technologies such as Kafka. • Familiarity with Joint Training and Simulation environments such as JTSE, JLVC, LVC, or similar DoD systems. • Understanding of data governance, data standards, and enterprise data strategy frameworks. • Experience working with synthetic data or simulation generated datasets. • Familiarity with MLOps/DevSecOps pipelines and secure model deployment practices. • Experience supporting joint, multi domain, or coalition operations. • Relevant certifications (AWS, Kubernetes, Security, CISSP, or similar). Physical Requirements May require working in an office, industrial, shipboard, or laboratory environment. Capable of climbing ladders and tolerating confined spaces and extreme temperature variances. 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. Meet HII’s Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense – the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that’s right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: 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. Why HII We build the world’s most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America’s top large company employers, we are a values and ethics driven organization that puts people’s safety and well-being first. Regardless of your role or where you serve, at HII, you’ll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career. Together we are working to ensure a future where everyone can be free and thrive. 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. Do You Need Assistance? If you need a reasonable accommodation for any part of the employment process, please send an e-mail to View email address on click.appcast.io and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call View phone number on click.appcast.io for assistance. Press 3 for HII Mission Technologies.aa415a4b-8b21-40fc-a65c-70d2b25ca29a