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MTSI is seeking aData Architect & Scientist SMEto supportdigital transformation,infrastructure modernization, and the development of mission-critical analytics capabilities across secure environments. This role combines advanced systems design, data-driven decision frameworks, and scalable software development to deliver high-reliability architectures tailored for U.S. national security operations. The ideal candidate is a systems engineer and data scientist withexpertisein designing auditable and scalable infrastructures, implementing advanced machine learning workflows, and enabling multimodal system integration in classified ecosystems. The role focuses on integrating secure data architectures and enabling lifecycle traceability to strengthen mission assurance and sustainability. Job Responsibilities: Design scalable, secure data architectures that enable lifecycle compliance and traceability across multimodal and mission-critical systems. Develop and deploy machine learning workflows, probabilistic reasoning frameworks, and advanced algorithms tailored for operationalobjectives. Integrate distributed, auditable data pipelines aligned withDevSecOpsworkflows to support rapid testing and validation of system prototypes. Direct efforts to enhance semantic clarity and modular tool design by building ontologies and architectures to enable streamlined multimodal integration. Create interoperability guidelines aligned with open system architectures, ensuring scalability and adaptability across mission-critical systems of systems. Develop intuitive, software-driven decision aids and dashboards that transform complex data into actionable intelligence for key stakeholders. Oversee cross-functional prototyping efforts to test and evaluate innovative solutions, balancingresilienceand mission assurance requirements. Mentor engineers and analysts to strengthen adoption of ML-driven architectures and sustain technical capability across mission-critical programs. Document system designs, workflows, and innovations to ensure operational continuity and compliance with lifecycle standards. Required Experience: 7+ years of experienceintegrating data architectures(cloud, hybrid,oron-premise)and analytics solutions across mission-critical environments. Expertisein Python, R, TensorFlow,PyTorch, and probabilistic modeling frameworks for machine learning applications. Proficiencyin integrating distributed pipelines with lifecycle analytics frameworks, simulation readiness requirements, and secureDevSecOpsworkflows. Demonstrated ability to enhance systems design using ontologies, modular tools, and architectures focused on interoperability within System-of-Systems environments. Hands-on experience in systems engineering and algorithm development for decision aids aligned with missionobjectives. Familiarity withZero Trust,RMF(NIST SP 800-37/800-53),and DoDDigital Data Strategy,andsimilarstandardsto ensure compliance and secure ecosystem integration. Exceptional communication skills to collaborate across technical and non-technical teams and deliver data-driven decision-making. Experience designing conceptual, logical, and physical data modelsto support analytics, simulation, and decision-support across complex mission systems Proven ability to define and implement data governance and data quality practices Desired Skills: Proficiencyin designing adaptive architectures to integrate ML-enabled workflows and data-driven modeling. Experience mentoring teams, championing innovative solutions, andmaintainingmission resilience across high-stakes projects. Ability to manage multiple concurrent priorities and timelines in cross-functional, classified environments. Education Requirements: Bachelor's degree in data science,Computer Science,Mathematics,Engineering,Statistics, or related disciplinesrequired. Master's degree or PhD preferred