> Markdown version of [/jobs/ext/3918040-sr-principal-data-scientist-aht](https://www.wearedevelopers.com/jobs/ext/3918040-sr-principal-data-scientist-aht). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Principal Data Scientist (AHT) - **Company:** Northrop Grumman - **Location:** Dayton, OH, United States - **Experience:** Expert - **Salary:** $142,200 - $213,200 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Data Architecture, Data Infrastructure, Data Visualization, Data Warehousing, Information Lifecycle Management, Interoperability, MATLAB, Machine Learning, NoSQL, Power BI, SQL Databases, Tableau (Software), Google Cloud, JMP (Statistical Software), Data Storage Technologies, Non-relational Database, Data Management, Tools for Reporting - **Published:** October 26, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3467405066&tx=DT11303UTI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 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. ## Description 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., * 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.