Data Scientist / Principal Data Scientist

Northrop Grumman•Roy, UT

9d•$87,200 - $162,400•Onsite

About The Position

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).

Requirements

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.

Nice To Haves

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.

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.