Sr. Principal Data Scientist – Machine Learning and Predictive Analytics

Overview

RELOCATION ASSISTANCE:
Relocation assistance may be available. CLEARANCE TYPE:
Top Secret. TRAVEL:
Yes, 25% of the Time.

Northrop Grumman is seeking an experienced Senior Principal Data Scientist to support our Product Support Analytics and Innovation team onsite in Rancho Bernardo, California. This position is required full-time, in-office. Hybrid scheduling (time split between in-office and work-from-home) may become available depending on future project needs.

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; this 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.

• Bachelor of Science degree in Data Science, Computer Science, Software Engineering, Applied Mathematics, or related field, with a minimum of 8 years of relevant experience, OR Master of Science degree in relevant fields with 6 years of relevant experience, OR PhD/Doctorate degree in relevant fields with 4 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, etc.).
• Your ability to obtain and/or transfer and maintain the final adjudicated government Top Secret clearance, and any program access required for the position within a reasonable period of time, as determined by the company.

• 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, Numpy, Pandas, SKLearn, PyTorch.
• Ability to troubleshoot and optimize complex data queries and workflows.
• Familiarity with big data concepts, machine learning pipelines, and MLOps.
• Excellent problem-solving skills with the ability to troubleshoot and optimize across the entire data stack.
• Ability to work in a fast-paced environment.
• Current, Active, DoD Top Secret clearance.

At Northrop Grumman we are invested in the growth and well-being of all our employees. We offer flexible work arrangements, opportunities for learning, exposure to a wide variety of projects and customers, and a very friendly team environment.

Our Total Rewards Program offers a comprehensive employee benefits package, including a Retirement and Savings Plan, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.

We have Employee Resource Groups (ERGs) that provide benefits for the member, our leaders and the company. Our ERGs offer opportunities to be a friend, be active, be a volunteer, be a leader, to be recognized and to be yourself. Every ERG is inclusive of all employees!

If you are ready to join us in defining possible, apply now.

Primary Level Salary Range: $ - $. The above salary range represents a general…