Modeling & Data Analytics Engineer for Defense Dashboards

Northrop Grumman; San Diego (CA); On-site; USD 92,000 - 171,000; Full time

Benefits offered by this job

Health insurance coverage

Life and disability insurance

Savings plan

Company paid holidays

Paid time off (PTO) for vacation and/o

Annual bonuses

Long Term Incentives

Discretionary bonus

Job summary

Northrop Grumman's Aeronautics Systems in San Diego is seeking a Modeling and Simulation Engineer focused on Data Analytics to design data mining pipelines, perform statistical analyses, and build dashboards that inform data-driven decisions within the Triton Enterprise Sustainment Systems Engineering program.

This role emphasizes turning complex data into actionable insights across engineering, operations, and business units in a defense context.

Qualifications

• BS in STEM with 2+ years of relevant military or professional experience, or MS with some experience, or PhD with 1+ year.
• Experience ingesting, processing, storing, analyzing and visualizing large data sets.
• Active US Government Secret or higher clearance or eligibility for SAP clearance.

Responsibilities

• Design scalable data mining pipelines and data ingestion, cleaning, transformation and storage.
• Perform exploratory data analysis, hypothesis testing and statistical modeling.
• Create interactive dashboards and reports to communicate insights to stakeholders.

Skills

Data analytics

Data mining

Statistical analysis

Dashboard design

Cross-functional collaboration

Education

Bachelor of Science in STEM

Master's in STEM

PhD in STEM

Tools

MATLAB

Tableau

Power BI

Plotly

Python

SQL

.DAT file decoding

Job description

Northrop Grumman's Aeronautics Systems in San Diego is seeking a Modeling and Simulation Engineer focused on Data Analytics to design data mining pipelines, perform statistical analyses, and build dashboards that inform data-driven decisions within the Triton Enterprise Sustainment Systems Engineering program.

This role emphasizes turning complex data into actionable insights across engineering, operations, and business units in a defense context.