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Sr. Principal Data Scientist (AHT)
Northrop GrummanOHWP10GC, United States, United Statesfull_timeVerifiedPosted 11 Mar 2025
💰 $206,000/yr($137,400/yr – $206,000/yr)
About the role
RELOCATION ASSISTANCE: No relocation assistance availableCLEARANCE TYPE: Top SecretTRAVEL: 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 Defense Systems (NGDS), Beavercreek Ohio, is seeking a Sr. Principal Data Scientist to support the collection, storage, processing, and analysis of data across the National Space Intelligence Center (NSIC) at Wright Patterson Air Force Base, OH. NSIC is a field operating agency that is responsible for performing national and military space missions and evaluating capabilities, performance, limitations, and vulnerabilities of space and counter-space systems and services.
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:
- Must have one of the following:
- High school diploma or equivalent with 12 years of experience
- Bachelor’s degree with 8 years of experience
- Master’s degree with 6 years of experience
- Understanding of IC data requirements and challenges.
- Ability to align data initiatives with the DoD's strategic goals and IC mission objectives.
- Knowledge of data lifecycle management, including data governance, data quality, and data security.
- Understanding of data architecture frameworks and the ability to design scalable, secure, and efficient data systems.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-based data storage and processing.
- Proficiency with databases (SQL, NoSQL) and data warehousing solutions.
- Experience with data visualization tools (e.g., Tableau, Power BI) to present data insights effectively.
- Must have an active TS/SCI clearance.
Preferred Qualifications:
- Proficient using query languages such as SQL
- Experience mentoring and leading peers in data science projects
- Strong applied statistics skills, such as distributions, statistical testing, regression, etc.
- JMP proficiency (SAS statistical tool) and experience scripting in JSL
- MATLAB experience
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