Principal / Sr. Principal Data Scientist – Machine Learning and Predictive Analytics
At a glance
Senior AI Research role at Ngc. United States-Florida-Melbourne · full-time.
In listing AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build custom statistical and machine-learning systems from the ground up, shaping complex datasets into useful models
- Work with software engineers, analysts and data scientists to turn data needs into integrated solutions
- Create tests and documentation for data designs, workflows and operating processes
- Apply unit and integration testing, Git, Docker and CI/CD practices to data science work
- Improve complex algorithms so they run efficiently on on-premise infrastructure
What you bring
- A relevant bachelor’s, master’s or doctoral degree, with experience meeting the principal or senior principal level threshold
- Strong knowledge of machine learning and deep learning, plus recent software development or data engineering work
- Strong Python and SQL programming skills, along with familiarity with CI/CD and version control
- An active, in-scope Top Secret clearance at the start of employment
Who this fits
This role suits a senior data scientist who builds underlying algorithms and data systems rather than relying on prebuilt tools. It is full-time and in-office in Melbourne, Florida, with travel around a quarter of the time. You must be able to maintain the required government clearance; relocation assistance may be available.
From the employer
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.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.
Accomplish
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.
Essential Functions:
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.
Succeed
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**
Basic Qualifications for a Principal Data Scientist:
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.
Basic Qualifications for a Sr Principal Data Scientist:
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 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.
Preferred Qualifications:
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.