Senior Data Scientist – Operations Strategy (Level 4)

Northrop Grumman; San Diego (CA); On-site; USD 156,000 - 235,000; Full time

Benefits offered by this job

Health insurance

Life and disability insurance

Savings plan

Company paid holidays

Paid time off

Job summary

Northrop Grumman in Southern California is seeking a Data Scientist - Level 4 to shape the BU's operational strategy and drive program execution. You will partner with ELT and leaders to design data-driven strategies for production readiness, scalable execution, and a culture of continuous improvement.

The role emphasizes advanced analytics, data visualization, and leading cross-functional initiatives to meet cost, schedule, and quality targets while maintaining high data integrity across sites

Qualifications

• Bachelors with 8+ years of relevant data mining experience or a Masters with 6+ years.
• Proficiency in SQL and Tableau for data visualization and insights.
• Experience ingesting and modeling data from multiple systems.
• Strong collaboration across levels to translate concepts into actions.

Responsibilities

• Own the full lifecycle of data visualization tools and dashboards.
• Lead performance review meetings with metrics across strategy and execution.
• Coach stakeholders on data literacy and data flow between systems.
• Improve data quality and support new or enhanced business systems.
• Translate analytics into clear, actionable insights for executives to front-line leaders.
• Collaborate with cross-functional teams on data-driven strategies and continuous improvement.

Skills

SQL

Tableau

Data visualization

Data analysis

Cross-functional collaboration

Education

Bachelor's degree in Engineering/Business/related field

Master's degree in IT/Data Science/Industrial Engineering

Tools

SAP

Costpoint

Power Apps/Automate

SharePoint

Solumina MES

TipQA

Job description

Northrop Grumman in Southern California is seeking a Data Scientist - Level 4 to shape the BU's operational strategy and drive program execution. You will partner with ELT and leaders to design data-driven strategies for production readiness, scalable execution, and a culture of continuous improvement.

The role emphasizes advanced analytics, data visualization, and leading cross-functional initiatives to meet cost, schedule, and quality targets while maintaining high data integrity across sites