Principal / Sr. Principal Data Scientist Machine Learning and Predictive Analytics

Northrop Grumman•Melbourne, FL

3d•Onsite

About The Position

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. Northrop Grumman is seeking an experienced Principal or Senior Principal Data Scientist to join our team of qualified, diverse individuals in Melbourne, Fl . This position is required full-time, in-office . There is no option for remote or hybrid work arrangements. 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.

Requirements

Bachelor of Science degree 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 degree in relevant fields 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, etc.)
Your ability to transfer and maintain the final adjudicated government Top Secret clearance, and any program access (es) required for the position within a reasonable period of time, as determined by the company.
Active In Scope Top Secret Clearance required to start.
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.

Nice To Haves

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.

Responsibilities

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.