Lead Data Scientist - ML & Predictive Analytics (Onsite)

Northrop Grumman; San Diego (CA); On-site; USD 156,000 - 235,000; Full time

Benefits offered by this job

Flexible work arrangements

Total Rewards Program

Retirement and Savings Plan

Medical/dental/vision coverage

Paid time off (PTO)

Job summary

Northrop Grumman is seeking a Senior Principal Data Scientist to support the Product Support Analytics and Innovation team in Rancho Bernardo, CA. The role emphasizes building core data logic, high-performance statistics, and ML tools from scratch, working with software engineers and data scientists to create integrated data solutions.

The ideal candidate has deep ML/DL expertise, strong Python/SQL skills, and experience with CI/CD and on-premise data work.

Qualifications

• Bachelor’s or higher in Science, Technology, Engineering or Mathematics with 8+ years of experience, OR Master with 6+ years, OR PhD with 4+ years.
• Deep understanding of Machine Learning and Deep Learning.
• Recent professional experience in software development and/or data engineering.
• Strong programming skills in Python and SQL.
• Familiarity with CI/CD pipelines and version control (Git, Docker).
• Must be able to obtain and maintain a US Government Top Secret clearance.

Responsibilities

• Collaborate with software engineers, analysts, and data scientists to understand data requirements and deliver robust solutions.
• Architect and develop custom, maintainable data science solutions from the ground up.
• Write and maintain tests and documentation for data architecture and workflows.

Skills

Python

SQL

Machine Learning

Deep Learning

Software Development

Big Data

MLOps

Education

Bachelor’s Degree in STEM

Master’s Degree in STEM

PhD/ Doctorate in STEM

Tools

Git

Docker

CI/CD tools

SQLAlchemy

NumPy

Pandas

Scikit-learn

PyTorch

Job description

Northrop Grumman is seeking a Senior Principal Data Scientist to support the Product Support Analytics and Innovation team in Rancho Bernardo, CA. The role emphasizes building core data logic, high-performance statistics, and ML tools from scratch, working with software engineers and data scientists to create integrated data solutions.

The ideal candidate has deep ML/DL expertise, strong Python/SQL skills, and experience with CI/CD and on-premise data work.