Senior Principal Data Scientist - TS/SCI Data Architect

Northrop Grumman; Dayton (OH); On-site; USD 142,000 - 213,000; Full time

Benefits offered by this job

Health insurance

Paid time off (PTO)

Company paid holidays

Savings plan

Job summary

Northrop Grumman is seeking a data management specialist to assess current data assets, systems, and processes within NSIC and recommend scalable, compliant infrastructure. You will help implement lifecycle management, quality controls, and interoperability across sources, enabling advanced analytics and insights.

The role emphasizes machine learning, data visualization, and capability building to empower NSIC personnel with modern data skills and practices.

Qualifications

• Active TS/SCI clearance is required for consideration.
• Minimum 8+ years of experience with data management and analytics.
• Experience with IC data requirements and DoW alignment.
• Proven ability to design scalable data architectures and secure data systems.
• Strong experience with cloud data platforms (AWS/Azure/Google Cloud).

Responsibilities

• Aid in assessing current state of data management within NSIC and identify assets, systems, and processes.
• Provide recommendations for robust data infrastructure and architecture to support data collection, storage, processing, and analysis.
• Implement data lifecycle management framework ensuring regulatory compliance.
• Establish data quality and integrity mechanisms across sources and enable data interoperability.
• Leverage ML/AI and data visualization to derive actionable insights.
• Identify training programs to empower NSIC personnel with data skills.

Skills

IC data requirements

DoW strategic goals alignment

Data lifecycle management

Cloud platforms

Data warehousing

Data visualization

SQL

Mentoring peers

TS/SCI clearance

Education

Bachelor’s degree in a technical field

Experience in IC-related data projects

Tools

JMP

JSL scripting

MATLAB

Tableau

Power BI

Job description

Northrop Grumman is seeking a data management specialist to assess current data assets, systems, and processes within NSIC and recommend scalable, compliant infrastructure. You will help implement lifecycle management, quality controls, and interoperability across sources, enabling advanced analytics and insights.

The role emphasizes machine learning, data visualization, and capability building to empower NSIC personnel with modern data skills and practices.