Data Scientist - Level 4

Northrop Grumman is seeking a Data Scientist - Level 4 to drive advanced analytics and data-driven execution within the Mission Enabling Products (MEP) Business Unit. Based onsite in Oxnard, CA, this role leads the full analytics lifecycle, from planning and development through deployment and ongoing maintenance, while translating performance data into clear, actionable insights across multiple audiences.

Role overview

You will develop and lead analytics capabilities that support operational strategy for program management, engineering, and manufacturing and operations leadership. The work includes owning visualization and dashboard lifecycle activities, strengthening data literacy and data quality, and partnering across sites to enable continuous improvement in a fast-paced environment.

Responsibilities

• Own the full lifecycle (identify, plan, design, develop, implement, and maintain) of data visualization tools and dashboards, data entry solutions, and other automated analytics capabilities
• Structure and facilitate recurring performance review meetings centered on metrics critical 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 (for example, ERP, MES, and planning/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 tailored to audiences from executive management to front-line leaders
• Collaborate with cross-functional teams to develop data-driven strategies and implement continuous improvement initiatives

Requirements

• Bachelor’s degree in Engineering, Business, or related field with 8 years of relevant data mining experience, or Master’s degree with 6 years of relevant experience
• Demonstrated proficiency with SQL and Tableau (or comparable BI/data visualization tools)
• Hands-on experience working with multiple complex systems to ingest, process, store, analyze, and visualize data, including 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

Technologies

• SQL, Tableau
• ERP, MES, SAP, Costpoint, Solumina MES, TipQA
• Power Apps/Automate, SharePoint

Travel

• Yes, 10% of the Time
• This position may be located at Oxnard, CA, Goleta, CA, Commerce, CA, or San Diego, CA with 15% travel to the various sites

Compensation

Primary level salary range: $156,400.00 - $234,600.00 per year.

Benefits

• Health insurance coverage
• Life and disability insurance
• Savings plan
• Company paid holidays
• Paid time off (PTO) for vacation and/or personal business
• Depending on the position, eligibility for overtime, shift differential, and a discretionary bonus in addition to base pay
• Annual bonuses designed to reward individual contributions and allow employees to share in company results
• Employees in Vice President or Director positions may be eligible for Long Term Incentives

Additional details

• Relocation assistance: No
• Clearance required for start: No
• Clearance type: None

Preferred qualifications

• Master’s degree in Information Technology, Data Science, Industrial engineering, or related field
• Self-starter with demonstrated project management, problem-solving, statistical analysis, and data visualization skills
• Demonstrated knowledge of data mining architectures, models, and protocols
• Demonstrated 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 (for example, SAP and Costpoint) or others (for example, Solumina MES, TipQA) and tools (Power Apps/Automate, SharePoint)