Data Scientist / Principal Data Scientist *

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 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.

Preferred Qualifications:
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 statistics, including survival/reliability analysis, time-series modeling, regression, and uncertainty quantification.

Strong foundation in data engineering and analysis, including structured (relational, time-series) and unstructured (logs, text, imagery) data types, data pipeline design, and hands-on experience managing real-world data quality challenges such as missingness, sensor drift, and irregular sampling.

Production experience with relevant Amazon Web Services (AWS) services (e.g., S3, Glue, SageMaker, Redshift, etc.), Palantir Foundry, Databricks, and/or Snowflake.

Proven expertise in artificial intelligence, demonstrated by hands on experience designing, building, and deploying machine learning models and AI solutions in production environments.

Experience with reliability engineering.

Primary Level Salary Range: $87,200.00 - $130,800.00

Secondary Level Salary Range: $108,200.00 - $162,400.00

The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.

Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.

The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.

Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.