Senior Principal Data Scientist

Northrop Grumman

On-sitePosted July 26, 2026

About the role

Northrop Grumman is seeking an experienced Senior Principal Data Scientist to support the Product Support Analytics and Innovation team onsite in Rancho Bernardo, California. This full-time, in-office role may transition to hybrid scheduling in the future depending on project needs. The successful candidate will architect and build core data logic for our systems, creating custom, high-performance statistics and machine learning tools from the ground up, and will work closely with software engineers, analysts, and other data scientists to deliver robust, integrated solutions.

Senior Principal Data Scientist

Northrop Grumman

On-sitePosted July 26, 2026

About the role

Northrop Grumman is seeking an experienced Senior Principal Data Scientist to support the Product Support Analytics and Innovation team onsite in Rancho Bernardo, California. This full-time, in-office role may transition to hybrid scheduling in the future depending on project needs. The successful candidate will architect and build core data logic for our systems, creating custom, high-performance statistics and machine learning tools from the ground up, and will work closely with software engineers, analysts, and other data scientists to deliver robust, integrated solutions.

Responsibilities

Qualifications:

Architect and develop maintainable data science solutions from the ground up
Write and maintain tests and documentation for data architecture, workflows, and processes
Promote software engineering best practices within the data domain, including unit/integration testing, CI/CD automation (Git, Docker), and robust documentation
Tune and optimize complex algorithms in our on-premise infrastructure
Bachelor’s degree in STEM with at least 8 years of relevant experience, or Master’s with 6 years, or PhD with 4 years
Deep understanding of machine learning and deep learning
Experience in software development and/or data engineering
Proficiency in Python and SQL
Familiarity with CI/CD pipelines and version control (Git, Docker, etc.)
Ability to obtain and maintain a US Government Top Secret clearance and SAP access within a reasonable time
Preferred: Master’s or higher in Data Science or related field; experience with C/C++, ML pipelines, SQLAlchemy, Nu

Responsibilities

Qualifications:

Architect and develop maintainable data science solutions from the ground up
Write and maintain tests and documentation for data architecture, workflows, and processes
Promote software engineering best practices within the data domain, including unit/integration testing, CI/CD automation (Git, Docker), and robust documentation
Tune and optimize complex algorithms in our on-premise infrastructure
Bachelor’s degree in STEM with at least 8 years of relevant experience, or Master’s with 6 years, or PhD with 4 years
Deep understanding of machine learning and deep learning
Experience in software development and/or data engineering
Proficiency in Python and SQL
Familiarity with CI/CD pipelines and version control (Git, Docker, etc.)
Ability to obtain and maintain a US Government Top Secret clearance and SAP access within a reasonable time
Preferred: Master’s or higher in Data Science or related field; experience with C/C++, ML pipelines, SQLAlchemy, Nu

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