Principal / Sr. Principal Data Scientist – ML and Predictive Analytics

Northrop Grumman

Hybrid

Quick summary

Work type
Hybrid
Location
Rancho Bernardo, CA
Salary
$125,300–$187,900 / yr
Posted
25 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $191k
This role $157k
$113k most similar roles pay here $239k

This role pays less than 74% of similar roles. Most pay $155,390–$226,600 — the shaded band above. At the midpoint, this role pays about $157k versus about $191k 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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View all roles at Northrop Grumman

At a glance

TL;DR · Principal / Sr. Principal Data Scientist – ML and Predictive Analytics

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Northrop Grumman is hiring a Principal or Senior Principal Data Scientist to join their Product Support Analytics and Innovation team at their Rancho Bernardo, CA facility. This role involves architecting and building custom data science solutions from scratch, focusing on creating high-performance statistical tools and machine learning algorithms. The successful candidate will collaborate with software engineers and analysts to develop robust integrated systems, write maintainable code, and champion best practices such as CI/CD automation using Git and Docker. Essential skills include strong Python and SQL programming abilities, along with a deep understanding of machine learning and data engineering experience. Preferred qualifications enhance expertise in C/C++, advanced problem-solving, and familiarity with tools like Numpy, Pandas, SKLearn, and PyTorch.

Skills

Python SQL CI/CD Git Docker Machine Learning Deep Learning Numpy Pandas SKLearn PyTorch C/C++ SQL Alchemy MLOps

What you'll do

  • Architect and develop custom, maintainable data science solutions from scratch.
  • Write and optimize complex algorithms within on-premise infrastructure.
  • Collaborate with software engineers to deliver robust integrated solutions.
  • Champion software engineering best practices including CI/CD automation.
  • Maintain tests and documentation for data architecture and workflows.

What we're looking for

  • Bachelor’s degree with 5+ years or Master’s degree with 3+ years of relevant data science experience
  • Deep understanding of Machine Learning and Deep Learning techniques
  • Strong programming skills in Python and SQL
  • Familiarity with CI/CD pipelines and version control systems (Git, Docker)
  • Ability to obtain and maintain a government Top Secret clearance
  • Experience in software development and/or data engineering
  • Excellent problem-solving skills for troubleshooting complex data issues

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