Principal​/Sr. Principal Data Scientist – Machine Learning and Predictive Analytics - R10217658

Principal / Sr. Principal Data Scientist – Machine Learning and Predictive Analytics - R

Principal / Sr. Principal Data Scientist – Machine Learning and Predictive Analytics - R role at Northrop Grumman

Relocation assistance may be available.

CLEARANCE TYPE:
Top Secret

TRAVEL:
Yes, 25% of the Time

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 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 and landing on the moon. We look for people with bold new ideas, courage, and a pioneering spirit 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. Employees here are not only part of history—they’re making it.

We are seeking a first‑principles thinker and skilled data scientist to solve complex data challenges. This is not a role for operating pre‑built tools; it is an opportunity to architect and build the core data logic of our systems. You will be responsible for creating custom, high‑performance statistics and machine learning tools from the ground up, making meaning of complex data sets.

Your work will involve deep data modeling, abstracting reusable patterns, and writing modular, maintainable code that stands the test of time.

• Collaborate closely with software engineers, analysts, and other data scientists to understand data requirements and deliver robust, integrated solutions.
• Architect and develop custom, maintainable data science solutions from the ground up.
• Write and maintain tests and documentation for data architecture, workflows, and processes.
• Champion software engineering best practices within the data domain, including comprehensive unit/integration testing, CI/CD automation (Git, Docker), and robust documentation.
• Tune and optimize complex algorithms within our on‑premise infrastructure.

The individual we seek will be self‑motivated, proactive, goal‑oriented to help us grow our services, become even better at what we do, and will possess the following qualifications.
This requisition may be filled at either a Principal Level or a Sr. Principal Level.

• Bachelor of Science in Data Science, Computer Science, Software Engineering, Applied Mathematics, or related field, with a minimum of 5 years of relevant experience, or Master of Science in a relevant field with 3 years of relevant experience.
• Deep understanding of Machine Learning and Deep Learning.
• Recent professional experience in software development and/or data engineering.
• Strong programming skills in Python and SQL.
• Familiarity with CI/CD pipelines and version control (e.g., Git, Docker).
• Ability to transfer and maintain the final adjudicated government Top Secret clearance, and any program access required for the position within a reasonable period of time. Active In‑Scope Top Secret clearance required to start.

• Bachelor of Science in a relevant field with a minimum of 8 years of relevant experience, or Master of Science with 6 years, or Ph.D./Doctorate with 4 years, in a related discipline.
• Deep understanding of Machine Learning and Deep Learning.
• Recent professional experience in software development and/or data engineering.
• Strong programming skills in Python and SQL.
• Familiarity with CI/CD pipelines and version control (e.g., Git, Docker).
• Ability to transfer and maintain the final adjudicated government Top Secret clearance, and any program access required for the position within a reasonable period of time. Active In‑Scope Top Secret clearance required to start.

• Master’s degree or higher in Data Science or related discipline.
• 7 years of experience in software development.
• Experience with C/C++.
• Experience with machine learning pipelines and data science workflows.
• Familiarity with SQL Alchemy, Num Py, Pandas,…