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About the Role
As a principal data scientist, you will lead analytical projects that drive high-impact business decisions. You will work with program teams to understand their challenges, develop rigorous analytical approaches and models, and deliver insights through production-quality code, applications, and strategic recommendations.
Responsibilities
- Work directly with stakeholders to scope problems, formulate analytical questions, and translate business challenges into data science approaches.
- Apply deep analytical thinking to decompose complex problems, evaluate data quality and relevance, challenge assumptions, and design methods that address business needs.
- Develop statistical models, machine learning solutions, and analytical frameworks that deliver actionable insights and drive operational decisions.
- Build user-friendly, production-grade ML/AI applications and analytical artifacts that provide data insights and enable better decision making.
- Write production-quality Python code and develop analytical pipelines using cloud-based platforms (AWS, Databricks).
- Deliver insights through executive recommendations, analytical reports, interactive dashboards, and direct consultation.
- Take ownership of the technical quality and business impact of your work, making thoughtful methodological decisions and validating approaches.
- Stay current on analytical methods, statistical techniques, and domain-specific best practices.
Requirements
- Minimum of 5 years of hands-on experience in data science, data analysis, or other relevant professional experience.
- Strong proficiency with Python, SQL, and Git.
- Deep understanding of statistical methods, machine learning algorithms, and when to apply different analytical techniques.
- Experience developing and deploying machine learning models in production environments.
- Proven ability to translate complex business problems into rigorous analytical frameworks.
- Demonstrated problem-solving and critical-thinking skills.
- Excellent communication skills and ability to deliver compelling, actionable recommendations to non-technical stakeholders.
- Strong track record of ownership and accountability for technical decisions and project outcomes.
- U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Skills
- Python
- SQL
- Git
- Statistical methods
- Machine learning algorithms
- AWS
- Databricks
- PySpark
- Streamlit
- Dash
- MLOps
- Docker
- Causal inference
- Experimental design
- Time series forecasting
- Optimization
- Bayesian methods
Location
- Northern Virginia area
Work Type
- Hybrid
- Remote
- 9/80 schedule
Experience Level
- Principal
- Minimum of 5 years of hands-on experience
Salary/Compensations
- $113,900.00 - $170,900.00
Benefits
- Health insurance coverage
- Life and disability insurance
- Savings plan
- Company paid holidays
- Paid time off (PTO)
About the Company
- 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.
- Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work.
- At Northrop Grumman, the Insights & Intelligence (i2) organization seeks to embed trusted AI and data insights into every business decision at the company.
- We build lightweight, production‑grade analytics solutions that solve problems traditional enterprise tools struggle to meet.
- Our team operates with high autonomy, working closely with engineers and business leaders to identify high‑value problems, build apps and other products from the ground up, and deploy them into production.
- We value speed, intellectual curiosity, and the ability to toggle between 'prototype rapidly' and 'engineer for production' based on what the situation demands.
Equal Opportunity
- 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.