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# Data Scientist - Level 3 or 4

- **Company:** Northrop Grumman
- **Location:** Los Angeles, CA, United States
- **Experience:** Experienced
- **Salary:** $125,300 - $187,900
- **Contract:** Permanent contract
- **Skills:** Big Data, Business Systems, Costpoint, Data Mining, Data Visualization, SAP (Applications), Microsoft SharePoint, SQL Databases, Tableau (Software), Information Technology, Powerapps
- **Published:** October 26, 2026
- **Apply:** https://www.beyondlosangeles.com/job.asp?id=3467209126&tx=TT4946THI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in Engineering, Business, or related field with 5 years of relevant data mining experience or Master's degree with 3 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, * 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, * 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)

## Description

The Data Scientist - Level 3 or 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., * 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