Sr. Principal Data Scientist (AHT)

Northrop Grumman; Ohio; On-site; USD 142,000 - 213,000; Full time

Benefits offered by this job

Relocation assistance

Overtime eligibility

Discretionary bonus

Long Term Incentives

Health insurance

PTO

Job summary

Northrop Grumman is seeking a Data Scientist to support NASIC at Wright Patterson AFB. You will assess data management, design scalable architectures, implement lifecycle governance, and enable advanced analytics and visualization to inform national security decisions.

The role requires active TS/SCI clearance, strong data skills across cloud, SQL/NoSQL, and BI tools, with potential bonuses and relocation assistance. Join a mission-driven team shaping intelligence capabilities.

Qualifications

• Experience with IC data requirements and related challenges.
• Experience aligning data initiatives with DoW strategic goals and IC mission objectives.
• Experience in data lifecycle management, including governance, quality, and security.
• Experience designing scalable, secure, and efficient data architectures.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage and processing.

Responsibilities

• Aid in assessing the current state of data management within NSIC. Identify existing data assets, systems, and processes. Develop a comprehensive understanding of data needs, challenges, and opportunities.
• Provide recommendations for robust data infrastructure and architecture to support the collection, storage, processing, and analysis of data across NSIC. Identify modern technologies such as cloud computing, big data platforms, and analytics tools to enable scalable and efficient data management.
• Implement a comprehensive data lifecycle management framework that encompasses data acquisition, ingestion, storage, processing, analysis, sharing, and disposal. Ensure compliance with regulatory requirements and best practices throughout the data lifecycle.
• Establish mechanisms for ensuring data quality and integrity across disparate data sources within NSIC. Implement data integration solutions to enable seamless interoperability and information exchange between different systems and organizations.
• Leverage advanced analytics techniques such as machine learning, artificial intelligence, and data visualization to derive actionable insights from NSIC-produced data.
• Identify training programs and capacity building initiatives to empower NSIC personnel with the knowledge and skills required for effective data management.

Skills

Data Modeling

SQL

NoSQL

Cloud platforms

Tableau/Power BI

Machine Learning

Data Visualization

Mentoring

Statistics

Python

Education

Bachelor's degree in a STEM field

Master's degree preferred

Tools

JMP

MATLAB

JSL

Job description

RELOCATION ASSISTANCE: Relocation assistance may be 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.

Northrop Grumman is seeking a Data Scientist in support of the National Air and Space Intelligence Center (NASIC) at Wright Patterson Air Force Base. NASIC is responsible for creating all-source intelligence defining the present and future air, air defense, cyber, space and ballistic missile threats to enable military operations, force modernization, and policy making.

Description of work:

• Aid in assessing the current state of data management within NSIC. Identify existing data assets, systems, and processes. Develop a comprehensive understanding of data needs, challenges, and opportunities.
• Provide recommendations for robust data infrastructure and architecture to support the collection, storage, processing, and analysis of data across NSIC. Identify modern technologies such as cloud computing, big data platforms, and analytics tools to enable scalable and efficient data management.
• Implement a comprehensive data lifecycle management framework that encompasses data acquisition, ingestion, storage, processing, analysis, sharing, and disposal. Ensure compliance with regulatory requirements and best practices throughout the data lifecycle.
• Establish mechanisms for ensuring data quality and integrity across disparate data sources within NSIC. Implement data integration solutions to enable seamless interoperability and information exchange between different systems and organizations.
• Leverage advanced analytics techniques such as machine learning, artificial intelligence, and data visualization to derive actionable insights from NSIC-produced data.
• Identify training programs and capacity building initiatives to empower NSIC personnel with the knowledge and skills required for effective data management.

Basic Qualifications:

• High school diploma or equivalent with 12+ years of relevant experience, OR bachelor’s degree with 8+ years, OR master’s degree with 6+ years.
• Experience with Intelligence Community (IC) data requirements and related challenges.
• Experience aligning data initiatives with DoW strategic goals and IC mission objectives.
• Experience in data lifecycle management, including governance, quality, and security.
• Experience designing scalable, secure, and efficient data architectures.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage and processing.
• Experience with relational and non‑relational databases (SQL, NoSQL) and data warehousing.
• Experience using data visualization tools (e.g., Tableau, Power BI) to present insights.
• Active TS/SCI security clearance.

Preferred Qualifications:

• Proficiency in SQL.
• Experience mentoring and leading peers on data science projects.
• Applied statistics experience (distributions, testing, regression).
• Proficiency with JMP, including scripting in JSL.
• Experience with MATLAB for data analysis or modeling.

#CWI2026

Primary Level Salary Range: $142,200.00 - $213,200.00

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.