Principal Data Scientist

Northrop Grumman

Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $125,300–$187,900 / yr
Posted: 3 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k

This role $157k

$114k most similar roles pay here $231k

This role pays less than 64% of similar roles. Most pay $126,800–$214,500 — the shaded band above. At the midpoint, this role pays about $157k versus about $171k 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 130 open roles on FindRole.

Listed pay typically runs $125,300–$187,900 across 128 roles with salary data.

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At a glance

TL;DR · Principal Data Scientist

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Northrop Grumman Aeronautics Systems is seeking a Principal Data Scientist to join its Systems Engineering team supporting the Triton Enterprise sustainment efforts. This role involves designing scalable data mining pipelines, performing advanced statistical analysis, and creating interactive dashboards using tools like Tableau and PowerBI to drive decision-making. The candidate will work closely with engineering and operations teams to integrate analytical solutions into product roadmaps while maintaining virtual machines and ensuring data governance standards are met. Essential skills include proficiency in Python, SQL, and .DAT file decoding, along with strong communication abilities to translate complex analytics into actionable insights for both technical and non-technical stakeholders. The position requires a background in STEM fields and experience relevant to defense contexts, particularly in autonomous air vehicle platforms.

Skills

Python SQL Tableau .DAT file decoding CI/CD PowerBI Plotly Kubernetes Docker PostgreSQL AWS RStudio Git Jupyter Notebook Scikit-learn TensorFlow Pandas NumPy Matplotlib

What you'll do

Design scalable data mining pipelines and establish protocols for data ingestion, cleaning, transformation, and storage.
Perform exploratory data analysis, hypothesis testing, and advanced statistical modeling to identify key drivers within heterogeneous data sources.
Create interactive dashboards and reports using modern BI tools to communicate insights to stakeholders.
Maintain and update virtual machines that host the database on a central network.
Establish data governance standards and quality metrics across the analytics lifecycle.

What we're looking for

At least 5 years of relevant military or professional experience in STEM fields.
Strong proficiency in Python, SQL, Tableau, and data analysis tools.
Ability to design scalable data mining pipelines and establish data ingestion protocols.
Experience in exploratory data analysis, hypothesis testing, and statistical modeling.
Capable of creating interactive dashboards and reports for diverse stakeholders.
Knowledge of cutting-edge data science methodologies like deep learning.

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