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Principal Data Scientist, Insights & Intelligence
Northrop Grumman. Work directly with stakeholders (engineers, program managers, subject matter experts) to scope problems, formulate the right analytical questions, and translate business challenges into rigorous data science approaches .
Tech Stack
Tools & technologiesAWSCloudPythonSQL
About the role
Key responsibilities & impact- Work directly with stakeholders (engineers, program managers, subject matter experts) to scope problems, formulate the right analytical questions, and translate business challenges into rigorous data science approaches
- Apply deep analytical thinking to decompose complex problems—critically evaluate data quality and relevance, challenge assumptions, and design methods that address the business need
- 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 (e.g., Streamlit, Dash) and analytical artifacts that provide data insights to teams across the enterprise and enable better decision making
- Write production-quality Python code and develop analytical pipelines using cloud-based platforms (AWS, Databricks) to support scalable and reproducible data science workflows
- Deliver insights through multiple channels—executive recommendations, analytical reports, interactive dashboards, and direct consultation with business leaders
- Take ownership of the technical quality and business impact of your work—make thoughtful methodological decisions, validate approaches rigorously, and stand behind your recommendations
- Stay current on analytical methods, statistical techniques, and domain-specific best practices to continuously improve the quality and impact of your work
Requirements
What you’ll need- Minimum of 5 years of hands-on experience in data science, data analysis, or other relevant professional experience
- Must have strong proficiency with Python, SQL, and Git
- Must have deep understanding of statistical methods, machine learning algorithms, and when to apply different analytical techniques
- Must have experience developing and deploying machine learning models in production environments
- Must have proven ability to translate complex business problems into rigorous analytical frameworks
- Must have demonstrated problem-solving and critical-thinking skills with an ability to handle complex analytical challenges
- Must have excellent communication skills and ability to deliver compelling, actionable recommendations to non-technical stakeholders
- Must have strong track record of ownership and accountability for technical decisions and project outcomes
Benefits
Comp & perks- Health insurance coverage
- Life and disability insurance
- Savings plan
- Company paid holidays
- Paid time off (PTO) for vacation and/or personal business
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLGitstatistical modelsmachine learning solutionsanalytical frameworksanalytical pipelinesdata science workflowsanalytical techniquesproduction-grade applications
Soft Skills
analytical thinkingproblem-solvingcritical thinkingcommunication skillsownershipaccountabilitystakeholder engagementmethodological decision-makingtranslating business problemsdelivering recommendations