Job description

RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: No CLEARANCE TYPE: None TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world’s biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today. The Mission Enabling Products (MEP) Business Unit is seeking an experienced Data Scientist to shape and implement the BU’s operational strategy and program execution initiatives. This role will partner closely with the MEP BU Executive Leadership Team (ELT), Program Leadership, and Functional Leaders across multiple sites to design and implement data-driven strategies that enable production readiness, scalable execution, and a continuous improvement culture of operational excellence at our Southern CA facilities. This position may be located at Oxnard, CA, Goleta, CA, Commerce, CA or San Diego, CA with 15% travel to the various sites. The Data Scientist - Level 4 will develop and apply advanced technical principles and lead the technical aspects of strategic initiatives to ensure cost, schedule, and quality objectives are met through advanced analytics, multi-disciplined leadership, and continuous improvement techniques. This individual will inform strategic planning, prioritize and execute high-impact initiatives, and institutionalize a data-driven decision-making culture to drive high performance while maintaining absolute quality. Primary 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 focused on metrics critical to strategy and execution for program management, engineering, and manufacturing/operations leadership • Coach and train stakeholders on data literacy and effective use of data, including how information flows within and between business systems (e.g., ERP, MES, 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 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 Basic Qualifications: • 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 with experience identifying trends in large data sets • Proven experience facilitating cross-functional projects across all levels of an organization with the ability to translate complex concepts into practical, operational applications 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 (e.g., SAP and Costpoint) or others (e.g., Solumina MES, TipQA) and tools (Power Apps/Automate, SharePoint) Primary Level Salary Range: $156,400.00 - $234,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit northropgrumman.com. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Requirements

Must-haves

RELOCATION ASSISTANCE: No relocation assistance available
CLEARANCE REQUIRED FOR START: No
CLEARANCE TYPE: None
TRAVEL: Yes, 10% of the Time Description
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 focused on metrics critical to strategy and execution for program management, engineering, and manufacturing/operations leadership
Coach and train stakeholders on data literacy and effective use of data, including how information flows within and between business systems (e.g., ERP, MES, 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 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
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 with experience identifying trends in large data sets
Proven experience facilitating cross-functional projects across all levels of an organization with the ability to translate complex concepts into practical, operational applications

Nice-to-haves

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 (e.g., SAP and Costpoint) or others (e.g., Solumina MES, TipQA) and tools (Power Apps/Automate, SharePoint)
The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sql

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Pto

Paid Time Off