Sr. Principal Data Scientist Security Clearance

Position: Sr. Principal Data Scientist with Security Clearance
RELOCATION ASSISTANCE:
No relocation assistance available CLEARANCE TYPE:
None TRAVEL:
Yes, 10% of the Time 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.

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.

The Insights & Intelligence (i2) Supplier AI & Analytics team operates within the CIDO organization and drives AI, analytics, and data-driven decision making within Global Supply Chain. The team is responsible for executing Global Supply Chain's analytics and AI strategy by translating leadership priorities into scalable, production-grade solutions that strengthen supplier performance, reduce risk, and improve enterprise visibility. We work closely with the Supply Chain Leadership Council (SCLC) to prioritize high-impact use cases and deliver durable analytics and AI capabilities.

Our focus is on turning supplier data into insight through sound analytical methods, statistical rigor, and engineered solutions that can be governed, reused, and scaled across the enterprise. In this Sr. Principal Data Scientist role, you will serve as a senior technical leader and force multiplier. You will help shape how supplier data is analyzed, modeled, and operationalized, and you will design and deploy production systems that enable better supply chain decisions t You'll Do:
* Partner with Global Supply Chain leadership and subject-matter experts to define analytical problem statements, clarify assumptions and constraints, and determine appropriate statistical or modeling approaches
* Perform exploratory data analysis and statistical analysis to identify patterns, drivers, and risks in supplier performance and related supply chain data
* Design, develop, and deploy machine learning and advanced analytics solutions that support supplier performance, risk identification, and decision-making
* Translate analytical outputs into user-facing, production-grade ML and AI applications (for example, Streamlit or Gradio tools) that make insights accessible to non-technical users
* Bridge analytics and infrastructure by building systems that operationalize models and analyses through scalable data pipelines and applications
* Develop and maintain cloud-based infrastructure and tooling using platforms such as AWS and Databricks to support reliable analytics workflows
* Design and implement CI/CD pipelines, infrastructure-as-code, and MLOps practices that support model deployment, monitoring, and iteration
* Improve existing workflows and advocate for strong software engineering and analytical best practices, including version control, testing, documentation, and reproducibility
* Stay current on statistical methods, machine learning techniques, and analytics tooling, applying them where they deliver measurable business value What Makes You Successful Here You apply statistical rigor with business judgment. You know how to explore data, select appropriate methods , and communicate uncertainty without over complicating the message. You balance speed and quality. You understand when fast analysis is sufficient and when deeper modeling or engineering is required .

You operate with high agency.

You proactively identify analytical opportunities, data limitations, and risks, and move work forward with minimal direction. You are technically versatile. You are comfortable moving between data analysis, modeling, application development, and infrastructure depending on the problem. You are a bridge-builder. You translate between data scientists, engineers, and supply chain…