Principal Systems Engineer – Data-Driven Logistics & PHM

Northrop Grumman; San Diego (CA); On-site; USD 98,000 - 171,000; Full time

Job summary

Northrop Grumman in San Diego, CA is seeking an experienced Principal Systems Engineer for the Product Support Analytics and Innovation team. This on-site role bridges data science with systems engineering to improve readiness and enable predictive support solutions.

The ideal candidate has a STEM degree with 5+ years of experience (or a Masters with 3+ years) and experience in verification/validation, diagnostics, and ML; ability to obtain TS clearance; familiarity with Python stack, SQL, Git,

Qualifications

• Bachelors in a STEM field with ≥5 years of relevant experience, or Masters with ≥3 years.
• Experience with Systems Engineering Verification and Validation for complex analyses, including diagnostics, failures, and machine learning.
• Ability to obtain and maintain US Government Top Secret clearance.
• Familiarity with Python data stack and visualization tools (NumPy, Pandas, scikit-learn, PyTorch; PowerBI/Tableau).

Responsibilities

• Collaborate with cross-functional teams to align logistics goals with the Data Science organization.
• Influence decisions by delivering logistics-focused risk assessments and trade studies.
• Recommend enhancements to logistics elements (R&M, LSA, PHM) to reduce lifecycle costs and improve system availability.
• Prepare concise presentations, executive briefings, and technical reports for senior leadership and partners.

Skills

Python

NumPy

Pandas

scikit-learn

PyTorch

SQL

Git

Docker

Data Visualization

Education

Bachelor's degree in STEM

Master's degree in STEM

Tools

Docker

Git

SQL

PowerBI

Tableau

Job description

Northrop Grumman in San Diego, CA is seeking an experienced Principal Systems Engineer for the Product Support Analytics and Innovation team. This on-site role bridges data science with systems engineering to improve readiness and enable predictive support solutions.

The ideal candidate has a STEM degree with 5+ years of experience (or a Masters with 3+ years) and experience in verification/validation, diagnostics, and ML; ability to obtain TS clearance; familiarity with Python stack, SQL, Git,