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Senior Principal Data Scientist – Machine Learning and Predictive Analytics

Northrop Grumman
Full Timeprincipal
United States-California-San DiegoPosted 2 days ago

Role Overview

Northrop Grumman is hiring a Senior Principal Data Scientist – Machine Learning and Predictive Analytics. This is a full-time role in United States-California-San Diego. Part of Northrop Grumman's Data Science hiring, posted 2 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Job description

R10218639

About Northrop Grumman

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Northrop Grumman

northropgrumman.com

Data ScienceOn-site

699 other open roles at Northrop Grumman on TryApplyNow.

Frequently Asked Questions

How do I apply for the Senior Principal Data Scientist – Machine Learning and Predictive Analytics position at Northrop Grumman?

Use the Apply button above to submit your application directly to Northrop Grumman. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Senior Principal Data Scientist – Machine Learning and Predictive Analytics position at Northrop Grumman located?

This position is based in United States-California-San Diego. Northrop Grumman has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Senior Principal Data Scientist – Machine Learning and Predictive Analytics at Northrop Grumman earn?

Northrop Grumman has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Principal Data Scientist – Machine Learning and Predictive Analytics role at Northrop Grumman posted?

This role was posted on July 9, 2026 (2 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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