Principal / Sr. Principal Data Scientist – Machine Learning and Predictive Analytics

Northrop Grumman

Quick summary

Work type
On-site
Location
Melbourne, FL
Salary
$108,200–$162,400 / yr
Posted
2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $192k
This role $135k
$94k most similar roles pay here $242k

This role pays less than 79% of similar roles. Most pay $156,330–$227,753 — the shaded band above. At the midpoint, this role pays about $135k versus about $192k 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 · Principal / Sr. Principal Data Scientist – Machine Learning and Predictive Analytics

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Northrop Grumman is hiring a Principal or Senior Principal Data Scientist to join their team in Melbourne, Florida, focusing on architecting and building custom data science solutions from the ground up. This role involves deep data modeling, creating reusable patterns, and writing maintainable code while collaborating with software engineers and analysts to deliver robust integrated solutions. The ideal candidate will have strong programming skills in Python and SQL, experience with CI/CD pipelines (Git, Docker), and a deep understanding of machine learning and deep learning. They should be capable of optimizing complex algorithms within on-premise infrastructure and maintaining documentation for data architecture and processes. Candidates must hold an active In-Scope Top Secret clearance and have 5 to 8 years of relevant experience depending on the level, with a preference for those familiar with big data concepts and MLOps tools like SQL Alchemy, Numpy, Pandas, SKLearn, and PyTorch.

Skills

Python SQL CI/CD Git Docker Machine Learning Deep Learning Numpy Pandas SKLearn PyTorch C/C++ Version Control Data Engineering Software Development MLOps Big Data Concepts

What you'll do

  • Design and develop custom data science solutions from scratch.
  • Architect high-performance machine learning tools and statistical models.
  • Write and maintain comprehensive documentation and tests for data projects.
  • Optimize complex algorithms within on-premise infrastructure constraints.
  • Champion software engineering best practices in the data domain.

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).
  • Active In Scope Top Secret Clearance required to start.
  • Experience in software development and/or data engineering.

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