Data Scientist

Northrop Grumman

Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $101,000–$151,400 / yr
Posted: 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $171k

This role $126k

$87k most similar roles pay here $234k

This role pays less than 91% of similar roles. Most pay $126,800–$214,500 — the shaded band above. At the midpoint, this role pays about $126k 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.

Most-posted roles

View all roles at Northrop Grumman

At a glance

TL;DR · Data Scientist

Apply Now Log in to save

Northrop Grumman Aeronautics Systems is seeking a 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 provide actionable insights for both technical and non-technical stakeholders. The ideal candidate will have expertise in Python, SQL, and .DAT file decoding, along with experience in maintaining virtual machines on a central network. Key responsibilities include collaborating across engineering, operations, and business units to drive data-driven decision-making and ensuring robust data governance standards are established. This position requires a strong background in STEM fields and at least two years of relevant professional or military experience, with a keen interest in autonomous air vehicle platforms.

Skills

Python SQL Tableau .DAT file decoding AWS Azure Google Cloud Platform Docker Kubernetes CI/CD Git Jupyter Notebook PostgreSQL MySQL MongoDB PowerBI Plotly Prometheus Grafana Scikit-learn TensorFlow PyTorch

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

2+ years of relevant military or professional data science experience
Strong proficiency in Python, SQL, Tableau, and .DAT file decoding
Ability to design scalable data mining pipelines and establish data ingestion protocols
Experience in creating interactive dashboards and reports for diverse stakeholders
Capable of maintaining virtual machines and updating network security patches
Demonstrated skill in exploratory data analysis and advanced statistical modeling
Knowledge of cutting-edge data science methodologies like deep learning

Save