Northrop Grumman Aeronautics Systems has an opening for a Modeling and Simulation Engineer - Data Analytics at Engineer or Principal Engineer level in San Diego, California. This role supports a data analysis effort within the Sustainment Systems Engineering team on the Triton Enterprise. You will maintain, develop, and routinely run a set of data analysis tools to help enable data-driven decision making, and assist with network updates and the maintenance of the virtual machines that host the database. The position follows a 9/80 schedule with every other Friday off.

Essential Duties: - Data Architecture & Modeling: design scalable data mining pipelines; establish protocols for data ingestion, cleaning, transformation, and storage; evolve models to capture long-term trends and support real-time analytics. - Statistical Insight: perform exploratory data analysis, hypothesis testing, and advanced statistical modeling to identify key drivers and associations within heterogeneous data sources. - Visualization & Reporting: create interactive dashboards and reports using MATLAB, Tableau, Power BI, and Plotly to communicate insights to technical and non-technical stakeholders. - Cross-Functional Collaboration: partner with engineering, operations, and business units to define problem statements, translate requirements into analytical solutions, and integrate findings into product roadmaps. - Innovation & Knowledge Leadership: stay abreast of cutting-edge data science methodologies (e.g., deep learning, reinforcement learning) and evaluate their relevance to defense contex

Northrop Grumman Aeronautics Systems has an opening for a Modeling and Simulation Engineer - Data Analytics at Engineer or Principal Engineer level in San Diego, California. This role supports a data analysis effort within the Sustainment Systems Engineering team on the Triton Enterprise. You will maintain, develop, and routinely run a set of data analysis tools to help enable data-driven decision making, and assist with network updates and the maintenance of the virtual machines that host the database. The position follows a 9/80 schedule with every other Friday off.

Essential Duties: - Data Architecture & Modeling: design scalable data mining pipelines; establish protocols for data ingestion, cleaning, transformation, and storage; evolve models to capture long-term trends and support real-time analytics. - Statistical Insight: perform exploratory data analysis, hypothesis testing, and advanced statistical modeling to identify key drivers and associations within heterogeneous data sources. - Visualization & Reporting: create interactive dashboards and reports using MATLAB, Tableau, Power BI, and Plotly to communicate insights to technical and non-technical stakeholders. - Cross-Functional Collaboration: partner with engineering, operations, and business units to define problem statements, translate requirements into analytical solutions, and integrate findings into product roadmaps. - Innovation & Knowledge Leadership: stay abreast of cutting-edge data science methodologies (e.g., deep learning, reinforcement learning) and evaluate their relevance to defense contex