Data Scientist: Insights & Intelligence - Level 3

Northrop Grumman

Falls Church, VA, US
Base: $113,900 - $187,900; bonus/equity: annual bo...
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Python programming
Sql proficiency
Machine learning model deployment
** Northrop Grumman is seeking a Data Scientist (Level 3) for their Insights & Intelligence organization, focusing on the development of AI-driven analytical solutions. The role emphasizes collaboration with stakeholders to form analytical frameworks that impact business decisions, with a strong emphasis on machine learning and production-grade applications. **

Job Summary

  • 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.
  • As a Data Scientist – Level 3, you will lead analytical projects that drive high-impact business decisions—working with program teams to deeply understand their challenges, developing rigorous analytical approaches and models, and delivering insights through production-quality code, applications, and strategic recommendations.
  • 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.

Matching Summary

Match Score: 75

** Northrop Grumman is seeking a Data Scientist (Level 3) for their Insights & Intelligence organization, focusing on the development of AI-driven analytical solutions. The role emphasizes collaboration with stakeholders to form analytical frameworks that impact business decisions, with a strong emphasis on machine learning and production-grade applications. **

Salary

Base: $113,900 - $187,900; Bonus/Equity: Annual bonuses and discretionary bonuses; Benefits: Health insurance, life and disability insurance, savings plan, paid holidays and PTO

Skills & Requirements

Must-have

  • Python programming
  • SQL proficiency
  • Machine learning model deployment
  • Production-quality code development
  • Data science analytical frameworks
  • Cloud-based platforms (AWS, Databricks)
  • Stakeholder collaboration

Nice-to-have

  • Intellectual curiosity
  • High agency and ownership
  • Bridge-building communication skills
  • Rapid prototyping and production engineering
  • Experience with PySpark
  • MLOps and containerization knowledge
  • Domain expertise in manufacturing analytics

Key Requirements

  • Bachelor’s degree with 5+ years experience or Master’s with 3+ years
  • Proficiency with Python, SQL, and Git
  • Experience deploying machine learning models in production
  • Excellent communication skills
  • No clearance required to start

Work Rights

U.S. Citizenship required for certain restricted positions

Tailored Resume

Cover Letter