Principal Data Scientist: Strategic Data Pipelines

Northrop Grumman; Utah; On-site; USD 108,000 - 188,000; Full time

Job summary

Northrop Grumman is seeking a Principal Data Scientist to lead strategic data execution initiatives across the Mission Systems sector. The role involves developing data architecture, predictive models, and end-to-end pipelines from authoritative sources to enable analytics and data-driven decision-making at the highest levels.

The position offers opportunities to collaborate with ELT, program leadership, and functional leaders while delivering dashboards and insights to executives.

Qualifications

• Bachelor’s degree and a minimum of 5 years experience building or creating data workflows, or Masters degree and a minimum of 3 years of experience building or creating data workflows.
• Experience with SQL to ingest, process, store, and analyze data.
• Experience with data visualization tools Tableau, Power BI, or Excel.
• US Citizenship.
• Ability to obtain a government Secret clearance.

Responsibilities

• Plan, design, develop and implement data solutions to address business performance opportunities.
• Work in a fast-paced, Agile/Scrum environment focused on stakeholder outcomes.
• Collaborate with sector teams to understand analytics and data modeling requirements.
• Architect and build data pipelines connected to multiple systems and tools.
• Develop and publish Tableau server dashboards and visualizations used by leaders across the sector.
• Support cross-team development for data cleanup, ingestion, and data linkage.
• Document design, deployment and operating procedures for each work product.
• Present data to executive management.

Skills

Data workflows

SQL

Tableau

Power BI

Excel

US Citizenship

Education

Bachelor’s degree

Master’s degree

Tools

SAP

Alteryx

SSIS

Azure Data Factory

AWS Glue

Databricks

Hadoop

Job description

Northrop Grumman is seeking a Principal Data Scientist to lead strategic data execution initiatives across the Mission Systems sector. The role involves developing data architecture, predictive models, and end-to-end pipelines from authoritative sources to enable analytics and data-driven decision-making at the highest levels.

The position offers opportunities to collaborate with ELT, program leadership, and functional leaders while delivering dashboards and insights to executives.