Posted today
Secret
$142,200 - $213,200
None
IT - Data Science
Falls Church, VA (On-Site/Office)
RELOCATION ASSISTANCE: No relocation assistance available
CLEARANCE TYPE: None
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.
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.
The Insights & Intelligence (i2) Supplier AI & Analytics team operates within the CIDO organization and drives AI, analytics, and data-driven decision making within Global Supply Chain. The team is responsible for executing Global Supply Chain's analytics and AI strategy by translating leadership priorities into scalable, production-grade solutions that strengthen supplier performance, reduce risk, and improve enterprise visibility.
We work closely with the Supply Chain Leadership Council (SCLC) to prioritize high-impact use cases and deliver durable analytics and AI capabilities. Our focus is on turning supplier data into insight through sound analytical methods, statistical rigor, and engineered solutions that can be governed, reused, and scaled across the enterprise.
In this Sr. Principal Data Scientist role, you will serve as a senior technical leader and force multiplier. You will help shape how supplier data is analyzed, modeled, and operationalized, and you will design and deploy production systems that enable better supply chain decisions at scale.
What You'll Do:
What Makes You Successful Here
You apply statistical rigor with business judgment.
You know how to explore data, select appropriate methods , and communicate uncertainty without overcomplicating the message.
You balance speed and quality.
You understand when fast analysis is sufficient and when deeper modeling or engineering is required .
You operate with high agency.
You proactively identify analytical opportunities, data limitations, and risks, and move work forward with minimal direction.
You are technically versatile.
You are comfortable moving between data analysis, modeling, application development, and infrastructure depending on the problem.
You are a bridge-builder.
You translate between data scientists, engineers, and supply chain leaders, helping align analysis, systems, and decisions.
Basic Qualifications
Preferred Qualifications
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.
CLEARANCE TYPE: None
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.
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.
The Insights & Intelligence (i2) Supplier AI & Analytics team operates within the CIDO organization and drives AI, analytics, and data-driven decision making within Global Supply Chain. The team is responsible for executing Global Supply Chain's analytics and AI strategy by translating leadership priorities into scalable, production-grade solutions that strengthen supplier performance, reduce risk, and improve enterprise visibility.
We work closely with the Supply Chain Leadership Council (SCLC) to prioritize high-impact use cases and deliver durable analytics and AI capabilities. Our focus is on turning supplier data into insight through sound analytical methods, statistical rigor, and engineered solutions that can be governed, reused, and scaled across the enterprise.
In this Sr. Principal Data Scientist role, you will serve as a senior technical leader and force multiplier. You will help shape how supplier data is analyzed, modeled, and operationalized, and you will design and deploy production systems that enable better supply chain decisions at scale.
What You'll Do:
- Partner with Global Supply Chain leadership and subject-matter experts to define analytical problem statements, clarify assumptions and constraints, and determine appropriate statistical or modeling approaches
- Perform exploratory data analysis and statistical analysis to identify patterns, drivers, and risks in supplier performance and related supply chain data
- Design, develop, and deploy machine learning and advanced analytics solutions that support supplier performance, risk identification, and decision-making
- Translate analytical outputs into user-facing, production-grade ML and AI applications (for example, Streamlit or Gradio tools) that make insights accessible to non-technical users
- Bridge analytics and infrastructure by building systems that operationalize models and analyses through scalable data pipelines and applications
- Develop and maintain cloud-based infrastructure and tooling using platforms such as AWS and Databricks to support reliable analytics workflows
- Design and implement CI/CD pipelines, infrastructure-as-code, and MLOps practices that support model deployment, monitoring, and iteration
- Improve existing workflows and advocate for strong software engineering and analytical best practices, including version control, testing, documentation, and reproducibility
- Stay current on statistical methods, machine learning techniques, and analytics tooling, applying them where they deliver measurable business value
What Makes You Successful Here
You apply statistical rigor with business judgment.
You know how to explore data, select appropriate methods , and communicate uncertainty without overcomplicating the message.
You balance speed and quality.
You understand when fast analysis is sufficient and when deeper modeling or engineering is required .
You operate with high agency.
You proactively identify analytical opportunities, data limitations, and risks, and move work forward with minimal direction.
You are technically versatile.
You are comfortable moving between data analysis, modeling, application development, and infrastructure depending on the problem.
You are a bridge-builder.
You translate between data scientists, engineers, and supply chain leaders, helping align analysis, systems, and decisions.
Basic Qualifications
- Must have a PhD with 4 years of rel evant professional experience, OR a Master's degree with 6 years of rel evant professional experience, OR a Bachelor' s degree with 8 years of rel evant professional experience
- Must have a s trong proficiency in Python, SQL, and Git
- Must have a s olid foundation in statistical analysis, data exploration, and applied modeling
- Must have e xperience building and deploying machine learning or advanced analytics solutions
- Must have e xperience with rapid application development frameworks such as Streamlit , Gradio , Starlette, or Next.js
- Must have w orking knowledge of DevOps or MLOps concepts as applied to data science workflows
- Must have e xperience with containerization technologies such as Docker or Podman
- Must have the a bility to collaborate effectively with data scientists and analysts on analytical methods and results
- Strong problem-solving and critical-thinking skills
- Clear communication skills and comfort engaging with non-technical stakeholders
Preferred Qualifications
- Demonstrated experience deploying, operating , and monitoring production analytics or ML systems on AWS
- Experience with Databricks and PySpark for data transformation, feature engineering, and analytics
- Experience building and deploying analytical or decision-support tools for business users
- Familiarity with workflow orchestration tools such as AWS Step Functions or Apache Airflow
- Experience with infrastructure-as-code tools including Terraform or AWS CloudFormation
- Understanding of scalable data architectures and model lifecycle management
- Domain experience in supply chain analytics, manufacturing analytics, operations research, or financial forecasting
- Background in consulting or other client-facing technical roles where statistical analysis and modeling were used to inform decisions under ambiguity
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.
group id: 10122071
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