Senior Data Scientist (Level 3/4) - Data Strategy & Visualization Lead

Northrop Grumman; United States; On-site; USD 125,000 - 235,000; Full time

Benefits offered by this job

Health insurance

Life and disability insurance

Savings plan

PTO

Job summary

Northrop Grumman's Mission Enabling Products (MEP) Business Unit seeks an experienced Data Scientist to shape and execute data-driven strategies across facilities in Southern California. The role emphasizes cost, schedule, and quality objectives through advanced analytics and continuous improvement.

You will own dashboards, data literacy, data quality, and cross-functional collaboration, partnering with executive leadership to drive performance while upholding stringent quality and security

Qualifications

• 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 ingesting, processing, storing, analyzing, and visualizing 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 ingesting, processing, storing, analyzing, and visualizing 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
• Understanding 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 ERP/MRP (e.g., SAP and Costpoint) or others (e.g., Solumina MES, TipQA) and tools (Power Apps/Automate, SharePoint)

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

Skills

Data mining

Data visualization

Cross-functional collaboration

Lean Six Sigma

Project management

Statistical analysis

Education

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

Master’s degree in Information Technology, Data Science, Industrial engineering, or related field

Tools

SQL

Tableau

ERP/MRP (SAP/Costpoint)

Power Apps/Automate

SharePoint

Job description

Northrop Grumman's Mission Enabling Products (MEP) Business Unit seeks an experienced Data Scientist to shape and execute data-driven strategies across facilities in Southern California. The role emphasizes cost, schedule, and quality objectives through advanced analytics and continuous improvement.

You will own dashboards, data literacy, data quality, and cross-functional collaboration, partnering with executive leadership to drive performance while upholding stringent quality and security