Northrop Grumman · 18 hours ago
Sr. Principal Data Scientist - Machine Learning Engineer
Falls Church, VA
Full-time
Hybrid
Senior Level, Lead/Staff
$142K/yr - $213K/yr
4+ years expNorthrop Grumman is a leading technology company that offers revolutionary systems impacting lives globally. They are seeking a Sr. Principal Data Scientist - Machine Learning Engineer to develop and maintain cloud-based infrastructure and build production-grade ML/AI applications that provide data insights to enhance decision-making across the organization.
AerospaceData IntegrationManufacturingRemote SensingSecurity
Responsibilities
Work directly with stakeholders (engineers, program managers, subject matter experts) to scope problems, identify constraints, and iterate on technical solutions
Bridge analytics and infrastructure by understanding both the business problem and the approach, then building systems that deliver insights
Build user‑friendly, production‑grade ML/AI applications (e.g., Streamlit, Gradio) that provide data insights to teams across the enterprise and enable better decision making
Develop and maintain cloud‑based infrastructure (AWS, Databricks) and tooling to support scalable and reliable data analytics workflows
Design and implement CI/CD pipelines, infrastructure‑as‑code (Terraform, AWS CloudFormation), and MLOps practices that enhance team productivity
Optimize existing workflows and advocate for software engineering best practices (version control, modular design, testing) to drive team efficiency and code quality
Stay current on cloud technologies, MLOps trends, and application frameworks to identify opportunities for improvement
Qualification
Required
Must have a PhD with 4 years of relevant professional experience OR a Master's degree with 6 years of relevant professional experience OR Bachelor's degree with 8 years of relevant professional experience
Must have strong proficiency with Python, SQL, and Git
Must have experience with frameworks for rapid application development (e.g., Streamlit, Gradio, Starlette, Next.js)
Must have knowledge of DevOps or MLOps concepts and their application in data science workflows
Must have strong understanding of containerization (e.g., Docker, Podman)
Must have the ability to work collaboratively with data teams (data scientists, analysts) to support analytics workflows and insights
Must have demonstrated problem‑solving and critical‑thinking skills with an ability to handle complex technical challenges
Must have excellent communication skills and comfort engaging with non‑technical stakeholders
Preferred
Proven track record of deploying and monitoring production‑grade software systems on AWS
Experience with Databricks and PySpark for data transformation and analytics
Proven experience building and deploying web‑based visualization or decision‑support tools for business use cases
Exposure to workflow orchestration tools (e.g., AWS Step Functions, Apache Airflow) and infrastructure‑as‑code tools (e.g., Terraform, AWS CloudFormation)
Familiarity with scalable data architectures and machine learning deployment frameworks
Domain experience in manufacturing analytics, operations research, supply chain optimization, or financial forecasting
Background in consulting, forward‑deployed engineering, or other client‑facing technical roles where you translated ambiguous business problems into technical solutions
Benefits
Health insurance coverage
Life and disability insurance
Savings plan
Company paid holidays
Paid time off (PTO) for vacation and/or personal business
Company
Northrop Grumman
Northrop Grumman is an aerospace, defense and security company that provides training and satellite ground network communications software.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$3.7BKey Investors
U.S. Department of DefenseNASA
2025-05-27Post Ipo Debt· $1B
2024-01-29Post Ipo Debt· $2.5B
2023-12-20Grant· $72M
Leadership Team
Tom Wilson
Corporate Vice President, Enterprise Business Development
Jeffrey Worsham
Chief Product Owner - Advanced Technology Development
Recent News
2026-02-06
Company data provided by crunchbase