Data Scientist - Level 4

Northrop Grumman; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Northrop Grumman's Mission Enabling Products (MEP) is seeking an experienced Data Scientist to shape the BU's operational strategy and program execution initiatives. You will partner with ELT, program leadership, and functional leaders across sites to design data-driven strategies enabling production readiness and continuous improvement at multiple California facilities with 15% travel.

The Data Scientist - Level 4 will lead advanced analytics, drive strategic initiatives, and institutionalize

Qualifications

• Bachelor's degree with 8+ years data mining experience; Master’s with 6+ years.
• Proficient in SQL and Tableau or comparable BI tools.
• Experience ingesting, processing, storing, analyzing, and visualizing data across systems.
• Experience leading cross-functional projects and translating concepts for operations teams.
• Master's degree in IT/Data Science/Industrial engineering or related field.
• Project management, problem-solving, and data visualization skills.
• Knowledge of data mining architectures and prescriptive analytics.
• Lean and Six Sigma knowledge with Black/Green Belt certification.
• Familiarity with ERP/MRP systems such as SAP or Costpoint.

Responsibilities

• Own end-to-end data visualization tools, dashboards, and data entry solutions.
• Lead performance reviews focused on metrics for strategy and execution.
• Coach stakeholders on data literacy and data flow across business systems.
• Lead data quality and cleanup for new or enhanced systems.
• Translate data into actionable insights for executives to frontline leaders.
• Collaborate with cross-functional teams to implement data-driven improvements.

Skills

SQL

Tableau

Data pipelines

Cross-functional leadership

Education

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

Master's degree in IT/Data Science/Industrial Eng.

Tools

SAP

Costpoint

Solumina MES

TipQA

Job 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) an

RELOCATION ASSISTANCE: No relocation assistance available

CLEARANCE REQUIRED FOR START: No

CLEARANCE TYPE: None

TRAVEL: Yes, 10% of the Time Description