The Lead Applied Scientist is the senior scientific authority in the Data Science and AI Delivery team, responsible for the quality of the AI the team produces, particularly using large language models and agentic approaches. The role leads work from problem framing through build to evaluation production monitoring.
Compensation
competitive target incentive compensation, with awards based on overall corporate and individual performance.
Responsibilities
Lead the team's approach to solving business problems through advanced analytics and AI
Guide how solutions are designed and built
Contribute directly to technical work such as model development, experimentation, code review and solution architecture
Lead the design and development of AI and ML solutions using large language models and agentic AI
Bring mathematical and statistical rigor to how problems are framed and how uncertainty is handled
Requirements
Postgraduate qualification in a quantitative or computational subject such as computer science, statistics or mathematics
The Northrop Grumman CIDO Classified Solutions team is seeking a Network Administrator / Engineer (at level 3 or level 4) to join supporting complex, multi-site networks that enable critical space missions. The role involves designing, implementing, securing, and sustaining network infrastructure for launch sites, factory operations, and program-specific environments.
Responsibilities
Architect and implement network solutions for Space Sector programs
Build and deploy launch site networks; support factory and mission support networks
Configure, maintain, and troubleshoot network devices across multiple sites
Specify, evaluate, and support procurement of network equipment
Perform site surveys and support facilities with space planning and buildout
Preparation and transfer of technical documents into structured Markdown using AI tools, development of AI-supported workflows.
Responsibilities
Aufbereitung und Überführung bestehender technischer Dokumente, insbesondere PDFs und PowerPoint-Präsentationen, in strukturierte Markdown-Dokumente mithilfe der verfügbaren KI-Tools und weiterer Werkzeuge
Prüfung der erzeugten Dokumente auf Vollständigkeit, korrekte Struktur, Formatierung und inhaltliche Konsistenz mit den Originaldokumenten sowie eigenständige Identifikation und Korrektur von Fehlern
Weiterentwicklung und Dokumentation der KI-gestützten Workflows zur Dokumentenverarbeitung, sodass diese möglichst effizient, standardisiert und wiederverwendbar werden
Unterstützung bei weiteren Aufgaben rund um die KI-gestützte Strukturierung und Aufbereitung technischer Informationen
Möglichkeit zur Bearbeitung weiterführender Themen im Rahmen einer Bachelor- oder Masterarbeit
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