Principal Data Scientist - Machine Learning and Predictive Analytics - Top Secret at Northrop Grumman – United States-Florida-Melbourne | Jobyssey

RELOCATION ASSISTANCE: No relocation assistance available

CLEARANCE REQUIRED FOR START: Yes

CLEARANCE TYPE: Top Secret

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 the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and secure technological solutions to enable strategic objectives. We’re looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we will support yours by expanding your personal network and developing skills, whether you are new to the field or an industry thought leader. At Northrop Grumman, you will have the resources, support, and team to do some of the best work of your career.

The Northrop Grumman CIDO Classified Solutions team is seeking a Principal Data Scientist to support Machine Learning and Predictive Analytics. The selected candidate will be required to work on-site, full-time at our Melbourne, FL location.

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.

Note: Due to the classified nature of the work being performed, this position does not offer any virtual or telecommute working options. Applicants are encouraged to apply, only if they are willing to work on-site.

The responsibilities of this role include, but are not limited to, the following:

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.
Create and implement cutting‑edge technologies powered by Artificial Intelligence (AI).

Basic Qualifications:

Bachelor of Science degree in Data Science, Computer Science, Industrial 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
Must have a Security+ security certification (or greater) to be considered
Candidates must have a current US Government Top Secret level security clearance (at a minimum) in order to be considered
Experience with IT systems (Windows and/or Linux)
Experience with Graphic Design/Data Visualization
Deep understanding of Machine Learning and Deep Learning
Experience in software development and/or data engineering
Python and SQL programming experience
Experience building Tableau and Power BI Dashboards
Familiarity with CI/CD pipelines and version control (e.g., Git, Docker, etc.)

Preferred Qualifications:

Master’s degree or higher, in Data Science, Artificial Intelligence (AI) or related discipline
Experience with Python, SQL, Tableau, Airflow, Denodo, Atlassian Jira.
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 natural language processing (NLP).
Excellent problem-solving skills with the ability to troubleshoot and optimize across the entire data stack.
Ability to work in a fast-paced environment.

We offer flexible work arrangements, phenomenal learning opportunities, exposure to a wide variety of projects and customers, and a very friendly team environment. At Northrop Grumman, we are on the cutting edge of innovation. Our diverse portfolio of programs means there are endless paths to cultivate your career. We also offer exceptional benefits/healthcare, a 9/80 work schedule, and a great 401k matching program. Come join us!

#MPR

Primary Level Salary Range: $108,200.00 - $164,200.00

The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.

Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.

The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.

Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

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