Senior Data Scientist, Strategy & Analytics Lead

0090 CORP-Corporate Office; United States; On-site; USD 156,000 - 235,000; Full time

Job summary

Northrop Grumman is seeking a Data Scientist to shape the MEP BU’s data strategy and drive analytics across multiple sites in Southern California with 15% travel. The role emphasizes dashboards, data literacy, and continuous improvement to meet cost, schedule, and quality goals.

Responsibilities include lifecycle ownership of analytics tools, stakeholder coaching, and cross-functional collaboration with ERP/MES and planning systems.

Qualifications

• Bachelor’s degree in Engineering, Business, or related field required; 8+ years data mining experience or Master’s with 6+ years.
• Proficiency with SQL and Tableau (or similar BI tools).
• Experience ingesting, processing, storing, analyzing, and visualizing data from multiple systems.

Responsibilities

• Own end-to-end data visualization tool lifecycle and dashboards.
• Lead performance reviews for metrics tied to strategy and execution across programs.
• Coach stakeholders on data literacy and data flow between ERP/MES and planning tools.
• Lead data quality efforts to support new or enhanced systems.
• Translate data insights into actionable recommendations for execs to front-line leaders.
• Collaborate cross-functionally to drive data-driven strategies and continuous improvement.

Skills

SQL

Tableau

Data mining

Cross-functional collaboration

Problem solving

Education

Bachelor’s degree in Engineering, Business, or related field

Master’s degree in IT/Data Science/Industrial engineering

Tools

Power Apps/Automate

SharePoint

SAP

Job description

Northrop Grumman is seeking a Data Scientist to shape the MEP BU’s data strategy and drive analytics across multiple sites in Southern California with 15% travel. The role emphasizes dashboards, data literacy, and continuous improvement to meet cost, schedule, and quality goals.

Responsibilities include lifecycle ownership of analytics tools, stakeholder coaching, and cross-functional collaboration with ERP/MES and planning systems.