Data Scientist​/Principal Data Scientist * Security Clearance

Position: Data Scientist / Principal Data Scientist * with Security Clearance
RELOCATION ASSISTANCE:
No relocation assistance available CLEARANCE REQUIRED FOR START:
No CLEARANCE TYPE:
Secret TRAVEL:
No

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.

Description 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. The Defense Systems (DS) Sector Digital Enablement (DE) Organization in the Strategic Deterrence Systems (SDS) Division is seeking a Data Scientist/Principal Data Scientist, this is a 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 (DoD) preferred method of maintenance and sustainment for large-scale weapon systems. CBM+ works to optimize scheduled maintenance, thereby reducing Lifecycle Cost (LCC). The individual that fills this role will be responsible for applying data science and engineering principles to develop data architectures and predictive models in support of program CBM+ initiatives.

The individual will coordinate closely with the Reliability and Maintenance-Cost (RAM-C) team in support of CBM+ architecture delivery by WS Critical Design Review (CDR), and predictive model delivery on Reliability Centered Maintenance (RCM)-selected components by System Quality and Verification Review (SQVR). Position Benefits:
As a full-time employee of Northrop Grumman Space Systems, you are eligible for our robust benefits package including:
Medical, Dental & Vision coverage 401k Educational Assistance Life Insurance Employee Assistance Programs & Work/Life Solutions Paid Time Off Health & Wellness Resources Employee Discounts This position's standard work schedule is a 9/80. The 9/80 schedule allows employees who work a nine-hour day Monday through Thursday to take every other Friday off. This role may offer a competitive relocation assistance package.

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. Typical

Minimum Education or Experience
• T02: 2 Years with Bachelors in Science; 0 Years with Masters
• T03: 5 Years with Bachelors in Science; 3 Years with Masters; 1 Year with PhDData 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…