Modeling and Simulation Engineer - Data Analytics (Engineer or Principal Engineer Level)

Northrop Grumman Aeronautics Systems is a prominent aerospace and defense technology company known for pioneering advancements that have shaped the course of history in aviation and space exploration. From contributing to the first flight across the Atlantic Ocean to developing stealth bombers and supporting lunar landings, Northrop Grumman continues to be at the forefront of technological innovation. The company fosters a culture that values intellectual curiosity, diversity of thought, and encourages employees to bring their whole selves to work while pushing boundaries to achieve what others deem impossible. With a global impact and commitment to revolutionary systems, Northrop Grumman offers employees the opportunity to be part of a legacy and to make history themselves. This commitment extends to their dedication to inclusion and equal opportunity employment practices, reflecting the company’s belief in a diverse workforce as an asset to innovation and success.

Northrop Grumman Aeronautics Systems is currently seeking a Modeling and Simulation Engineer in Data Analytics at either the Engineer or Principal Engineer level to join their Systems Engineering organization in San Diego, CA. This full-time position offers a 9/80 work schedule, providing every other Friday off, and includes potential relocation assistance. This role requires an active US Government Secret clearance and involves approximately 10% travel. The salary range varies depending on the level, from $91,800 to $137,600 for the Engineer level and $114,000 to $171,000 for the Principal Engineer level, with eligibility for bonuses, overtime, and long-term incentives depending on the position.

The Modeling and Simulation Engineer will focus on supporting data analysis efforts within the Sustainment Systems Engineering team for the Triton Enterprise. Responsibilities include maintaining and developing data analysis tools to enhance data-driven decision-making processes. The individual will also assist with network updates and maintenance for virtual machines hosting databases. Key functions involve designing scalable data mining pipelines, establishing robust data ingestion and transformation protocols, and evolving models to support both long-term trend analysis and real-time analytics. The engineer will perform advanced statistical analysis and hypothesis testing to extract meaningful insights from heterogeneous data sources.

In addition, the role requires creating interactive dashboards and reports using business intelligence and visualization tools such as MATLAB, Tableau, Power BI, and Plotly to communicate findings effectively to technical and non-technical stakeholders. Collaboration with cross-functional teams across engineering, operations, and business units is crucial to define analytical problem statements and translate requirements into actionable solutions. The ideal candidate promotes innovation by staying updated on cutting-edge data science methodologies like deep learning and reinforcement learning and mentors teams to foster a culture of data-driven decision-making. The position also emphasizes governance by establishing data standards, quality metrics, and reproducibility practices.

This role offers a highly stimulating environment for professionals passionate about leveraging data analytics to enhance defense systems and contribute to the development of autonomous air vehicle platforms. Candidates should be proactive, capable of cross-team influence, and possess excellent communication skills to translate complex data insights into clear strategies. Northrop Grumman's comprehensive benefits package includes health insurance, life and disability coverage, a savings plan, paid holidays, and paid time off, ensuring a supportive workplace for its employees.