Principal Data Scientist

Northrop Grumman

Quick summary

Work type: On-site
Location: Roy, UTManhattan Beach, CA
Salary: $108,200–$162,400 / yr
Posted: 2 days ago
Nearby: 30 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $167k

This role $135k

$95k most similar roles pay here $235k

This role pays less than 73% of similar roles. Most pay $133,750–$200,050 — the shaded band above. At the midpoint, this role pays about $135k versus about $167k for comparable roles.

Based on 240 similar postings.

Employer

About Northrop Grumman

Northrop Grumman is a leading global aerospace and defense technology company providing systems in autonomous systems, cyber, C4ISR, space, strike, and logistics. Industry: Aerospace & Defense

Northrop Grumman currently has 213 open roles on FindRole.

Listed pay typically runs $114,900–$172,400 across 213 roles with salary data.

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View all roles at Northrop Grumman

At a glance

TL;DR · Principal Data Scientist

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Northrop Grumman Defense Systems is hiring a Principal Data Scientist to join its Sentinel program team in Roy, Utah or Manhattan Beach, California. This role involves developing and maintaining data pipelines from authoritative sources for metrics and analytics, collaborating with frontend specialists and stakeholders to create scalable solutions. Day-to-day tasks include architecting data pipelines, applying data engineering practices, and publishing Tableau dashboards to inform decision-making at all levels. The ideal candidate will have expertise in Python, SQL, ETL processes, and proficiency in Git, along with experience in Agile methodologies and cloud platforms like AWS or Azure. They should also possess strong communication skills for presenting insights to both technical and non-technical audiences, and a DoD Secret clearance is required.

Skills

Python SQL Git Agile ETL Tableau AWS DevOps CI/CD MLOps PostgreSQL Docker Kubernetes

What you'll do

Develop and deploy data pipelines from authoritative sources for metrics and analytics.
Architect and build data pipelines connected to multiple program ASoTs.
Apply data engineering processes to manage infrastructure, storage, and transformation of data.
Develop and publish Tableau server dashboards and visualizations for stakeholder insights.
Recommend process changes to business leaders to improve efficiency and decision-making.
Use advanced statistical methods and machine learning techniques for predictive analytics.

What we're looking for

5+ years of relevant data science or related field experience
Active DoD Secret clearance with ability to obtain SAP approval
Proficiency in SQL, database management, and ETL processes
Advanced Python programming skills for data analysis and automation
Experience developing Tableau dashboards and visualizations
Familiarity with Agile methodologies and version control systems
Strong communication skills for presenting technical insights

Remote

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