Principal Systems Engineer, Data-Driven Logistics & PHM

Northrop Grumman

Melbourne (FL)

On-site

USD 98,000 - 171,000

Full time

8 days ago

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Benefits offered by this job

Relocation assistance

Job summary

Northrop Grumman in Melbourne, FL is seeking an experienced Principal Systems Engineer to join our Product Support Analytics and Innovation team on-site at the Melbourne facility or San Diego. This role blends Product Support Engineering with large-scale Data Science to drive informed design decisions, improve system readiness, and enable predictive support solutions.

The selected candidate will serve as the primary bridge between data scientists, algorithm developers, and management to

Qualifications

  • Bachelors degree in a STEM discipline with 5+ years of relevant experience, or Masters with 3 years of related engineering experience.
  • Experience with Systems Engineering Verification and Validation processes for complex analyses.
  • Ability to obtain and maintain a US Government Top Secret clearance.

Responsibilities

  • Collaborate with integrated technical teams, program management, customers, and suppliers to align sector goals with Data Science.
  • Influence high-level decisions by delivering logistics-focused risk assessments and trade studies.
  • Recommend enhancements to logistics support elements to reduce lifecycle costs and improve system availability.
  • Prepare and deliver concise presentations, executive briefings, and technical reports for senior leadership and cross-functional teams.

Skills

Systems engineering
Verifications & Validation
Diagnostics & failures analysis
Communication

Education

Bachelor's degree in STEM
Master's degree in STEM

Tools

Python
NumPy
Pandas
scikit‑learn
PyTorch
SQL
Git
Docker
Matplotlib
Plotly
PowerBI
Tableau

Job description

Northrop Grumman in Melbourne, FL is seeking an experienced Principal Systems Engineer to join our Product Support Analytics and Innovation team on-site at the Melbourne facility or San Diego. This role blends Product Support Engineering with large-scale Data Science to drive informed design decisions, improve system readiness, and enable predictive support solutions.

The selected candidate will serve as the primary bridge between data scientists, algorithm developers, and management to

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