Data Scientist/Principal Data Scientist
Listed on 2026-07-08
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IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Engineering
Description
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people’s lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation’s history – from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon.
We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they’re making history.
Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world’s biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible.
With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today.
Data Scientist/Principal Data Scientist – dual level position located in Roy, UT to support the Condition‑Based Maintenance Plus (CBM+) team. This position supports the effort to modernize the ground‑based leg of the United States’ nuclear triad, the Sentinel Weapon System (WS), using CBM+, which is the Department of Defense’s preferred method of maintenance and sustainment for large‑scale weapon systems. CBM+ works to optimize scheduled maintenance, thereby reducing lifecycle cost (LCC).
Key Responsibilities- Develop data architectures in support of predictive modeling for a large‑scale WS designed to be operational for multiple generations.
- Create statistical, ML, and physics‑based predictive models that forecast the remaining useful life (RUL) of line replaceable units (LRU) identified in CBM+ trade studies. This includes processes like data exploration, model feasibility/accuracy evaluation, cost evaluation, model development & validation, and model demonstration.
- Establish templates and standards for modeling and tracking CBM+ items and processes.
- Support development of the CBM+ program plan.
- Collaborate with both NG and customer data scientists to define a data architecture for the WS; ensure the CBM+ tech stack remains aligned with wider architecture tools and plans.
- Engage directly with the customer in support of evolving program requirements.
Minimum Education or Experience
- T02: 2 years with a bachelor’s in science; 0 years with a master’s.
- T03: 5 years with a bachelor’s in science; 3 years with a master’s; 1 year with a PhD data scientist: bachelor’s degree in data science, statistics, applied mathematics, computer science, mechanical/aerospace engineering, or a related STEM field and 3 years of experience; or a master’s degree and 1 year of experience.
- Principal Data Scientist: bachelor’s degree in data science, statistics, applied mathematics, computer science, mechanical/aerospace engineering, or a related STEM field and 5 years of experience; or a master’s degree and 3 years of experience; or a PhD and 1 year of experience.
- U.S. citizen and ability to obtain a DoD Secret clearance.
- 2+ years of demonstrated experience developing cloud-based data architectures.
- 2+ years of demonstrated experience designing and implementing end-to-end data pipelines.
- 2+ years of demonstrated experience using Python, SQL, or other relevant data science programming languages.
- 1+ year of demonstrated experience designing predictive models.
- An active U.S. Government Secret level security clearance (at a minimum), to include a closed investigation date completed within the last 6 years.
- Hands‑on experience with predictive maintenance, prognostics and health management (PHM), or RCM methodologies.
- Strong foundations in…
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