This role pays less than
97%
of similar roles. Most pay
$173,200–$242,625
— the shaded band above.
At the midpoint, this role pays about
$135k
versus about
$208k
for comparable roles.
Based on 239 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
358 open roles
on FindRole.
Listed pay typically runs
$114,000–$171,000
across 345 roles with salary data.
As a Principal / Sr. Principal Data Scientist – Machine Learning and Predictive Analytics, you will join a specialized team to solve complex data challenges by architecting and building core data logic rather than using pre-built tools. You will be responsible for creating custom, high-performance statistics and machine learning tools from the ground up, performing deep data modeling, and developing modular code to make meaning of complex datasets. The role requires collaborating with software engineers and analysts to deliver robust solutions while championing software engineering best practices like unit testing and CI/CD automation. You will utilize Python, SQL, Git, and Docker to optimize algorithms on on-premise infrastructure. Preferred technical skills include C/C++, SQLAlchemy, NumPy, Pandas, SKLearn, PyTorch, and MLOps. The work focuses on developing custom data science solutions within a high-security environment requiring a Top Secret clearance.
What does a Data Scientist earn?
Median $162000 from 274 postings across 59 companies.
Architect and build custom, high-performance statistics and machine learning tools from the ground up.
Develop core data logic and model complex datasets into reusable patterns.
Write modular, maintainable code for data architecture, workflows, and processes.
Implement software engineering best practices including unit/integration testing and CI/CD automation.
Tune and optimize complex algorithms within on-premise infrastructure.
Create and maintain comprehensive documentation for all data science solutions and workflows.
Troubleshoot and optimize complex data queries across the entire data stack.
What we're looking for
Active In Scope Top Secret clearance is required to start.
U.S. Citizenship is required for this position.
A Bachelor's degree in a relevant field with 5 years of experience, or a Master's degree with 3 years of experience is required for the Principal level.
A Bachelor's degree with 8 years of experience, a Master's with 6 years, or a PhD with 4 years of experience is required for the Senior Principal level.
Candidates must have a deep understanding of Machine Learning and Deep Learning.
Recent professional experience in software development and/or data engineering is required.
Strong programming skills in Python and SQL are required.
Familiarity with CI/CD pipelines and version control tools like Git and Docker is required.
SQL
Python
Tableau
ETL
Data Modeling
CI/CD
Airflow
dbt
Dagster
Prefect
Databricks
Denodo
Snowflake
Version Control
Agile
Data Warehousing
Data Governance
Machine Learning
Python
Scala
R
SQL
AWS
Spark
Deep Learning
Foundation Models
Embeddings
Time Series Analysis
Sentiment Analysis
Clustering
Classification
Statistical Modeling