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Sr. Principal Data Scientist – Machine Learning and Predictive Analytics at Northrop Grumman - ApplyBlast

Sr. Principal Data Scientist – Machine Learning and Predictive Analytics

Northrop Grumman

21 hours ago

2.9 on Glassdoor

San Diego, California, United States

Onsite

Full Time

Senior

0 applicants

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About this role

Northrop Grumman is seeking an experienced Senior Principal Data Scientist to support its Product Support Analytics and Innovation team onsite in Rancho Bernardo, California. The role involves architecting and building core data logic, creating custom high-performance statistics and machine learning tools, and optimizing complex algorithms within on-premise infrastructure. The position requires a first-principles thinker skilled in solving complex data challenges through deep data modeling and modular code development.

Responsibilities

Architect and build custom data science solutions from the ground up
Develop high-performance statistics and machine learning tools
Optimize complex algorithms within on-premise infrastructure

Skills

Qualifications

Bachelor's Degree in a Science, Technology, Engineering or Mathematics disciplineMaster in STEMPhD/Doctorate degree in STEMUS Government Top Secret clearanceSpecial Access Program (SAP)

About Northrop Grumman

northropgrumman.com

Headquarters

Falls Church, Virginia, United States

Company Size

10001+ employees

Founded

1939

View Profile

Northrop Grumman is a global aerospace and defense company that designs, builds, and integrates advanced systems, products, and services for national security, civil space, and commercial customers. With roughly 95,000 employees, it focuses on space systems and satellites, military and unmanned aircraft, advanced electronics, hypersonics, advanced manufacturing, and cyber and digital transformation. The company partners with government agencies — including NASA and the U.S. Department of Defense — to solve complex engineering challenges and deliver end-to-end solutions. Northrop Grumman is known for large-scale systems engineering, technology innovation, and program execution.