Data Scientist - Level 3 or 4

Northrop Grumman • San Diego, CA

3d • $125,300 - $234,600

About The Position

Northrop Grumman’s Mission Enabling Products (MEP) Business Unit is seeking an experienced Data Scientist to shape and implement operational strategy and program execution initiatives. The role partners with the MEP Business Unit Executive Leadership Team, program leadership, and functional leaders across multiple sites to develop data-driven strategies for production readiness, scalable execution, and continuous improvement at Southern California facilities. The position may be based in Oxnard, Goleta, Commerce, or San Diego, California, and involves travel to various sites.

The Data Scientist develops and applies advanced technical principles and leads technical aspects of strategic initiatives to meet cost, schedule, and quality objectives through advanced analytics, multidisciplinary leadership, and continuous improvement. The role informs strategic planning, prioritizes and executes high-impact initiatives, and promotes data-driven decision-making while maintaining quality.

Requirements

• Level 3: Bachelor’s degree in Engineering, Business, or a related field and 5 years of relevant data mining experience, or a Master’s degree and 3 years of relevant experience.
• Level 4: Bachelor’s degree in Engineering, Business, or a related field and 8 years of relevant data mining experience, or a Master’s degree and 6 years of relevant experience.
• Demonstrated proficiency with SQL and Tableau or comparable business intelligence/data visualization tools.
• Hands-on experience with multiple complex systems used to ingest, process, store, analyze, and visualize data, including experience identifying trends in large data sets.
• Proven experience facilitating cross-functional projects across all levels of an organization and translating complex concepts into practical operational applications.

Nice To Haves

• Master’s degree in Information Technology, Data Science, Industrial Engineering, or a related field.
• Self-starter with demonstrated project management, problem-solving, statistical analysis, and data visualization skills.
• Knowledge of data mining architectures, models, and protocols.
• Knowledge and application of Lean and Six Sigma principles, including Black Belt or Green Belt certification.
• Understanding of advanced descriptive, diagnostic, predictive, and prescriptive analysis techniques and methodologies.
• Familiarity with manufacturing business systems such as ERP/MRP (e.g., SAP and Costpoint), Solumina MES, TipQA, and tools such as Power Apps/Automate and SharePoint.

Responsibilities

• Own the full lifecycle—identification, planning, design, development, implementation, and maintenance—of data visualization tools and dashboards, data entry solutions, and other automated analytics capabilities.
• Structure and facilitate recurring performance review meetings focused on metrics important to strategy and execution for program management, engineering, and manufacturing/operations leadership.
• Coach and train stakeholders on data literacy and effective data use, including how information flows within and between business systems such as ERP, MES, and planning and scheduling tools.
• Lead data quality and cleanup efforts to support implementation of new or enhanced business systems.
• Translate complex data and analytics into clear, actionable insights for audiences ranging from executive management to front-line leaders.
• Collaborate with cross-functional teams to develop data-driven strategies and implement continuous improvement initiatives in a fast-paced, dynamic environment.

Benefits

• Health insurance coverage
• Life and disability insurance
• Savings plan
• Company-paid holidays
• Paid time off (PTO) for vacation and/or personal business
• Potential eligibility for overtime, shift differential, and discretionary bonus, depending on the position
• Potential eligibility for Long Term Incentives for employees in Vice President or Director positions

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level