Principal Data Scientist

Northrop Grumman

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Quick summary

Work type: On-site
Location: Palmdale, CA
Employment: Full-time
Posted: 85 days ago
Freshness: Confirmed live today
Nearby: 31 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $185k

$118k $236k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $155,037–$214,500.

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 629 open roles on FindRole.

Listed pay typically runs $117,500–$176,300 across 314 roles with salary data.

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View all roles at Northrop Grumman

At a glance

TL;DR · Principal Data Scientist

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The Principal Data Scientist joins the Program Management Office within the Aeronautics Sector as an individual contributor. This role involves managing and securing SQL databases, optimizing complex queries, and developing automated ETL processes to transform engineering and business datasets. The successful candidate will build interactive dashboards in Tableau and PowerBI, write advanced Python scripts using Airflow for process automation, and utilize Gitlab for version control within an agile framework. Key responsibilities include creating data mining architectures, statistical reporting, and data analysis methodologies to identify trends in large datasets. The position requires bridging the gap between business requirements and technical specifications to provide predictive and prescriptive analytics. The work focuses on solving business issues and providing a competitive advantage through robust data manipulation and visualization.

What does a Data Scientist earn in California?

Median $214500 from 114 postings across 26 companies.

See salary data

Skills

SQL Python Tableau PowerBI Apache Airflow ETL Gitlab Agile Scrum Data Mining Machine Learning Prescriptive Analytics Data Visualization

What you'll do

Manage, maintain, and secure SQL databases while optimizing complex queries for high performance.
Design and manage automated ETL processes to ingest and transform complex engineering and business datasets.
Build interactive Tableau and PowerBI dashboards to communicate technical metrics to various stakeholders.
Write and deploy advanced Python scripts using Airflow for data manipulation and process automation.
Create data mining architectures, statistical reporting, and analysis methodologies to identify trends in large datasets.
Utilize Gitlab for version control, code reviews, and collaborative development within an agile framework.
Review project status, budgets, and resource planning while supporting various administrative functions.

What we're looking for

Must have an active U.S. Government DoD Secret security clearance at the time of application.
Must be a U.S. citizen.
Must have 5 years of experience with a bachelor’s degree in science, 3 years with a master’s, or 1 year with a PhD.
Must have a degree in Data Science, Mathematics, Computer Science, or Engineering (preferred).
Must have experience writing, optimizing, and troubleshooting complex SQL queries and managing SQL databases.
Must have experience developing and managing ETL processes.
Must have experience in Python programming for data analysis, manipulation, and automation.
Must have experience using version control systems like Gitlab and Agile/Scrum methodologies.
Must have experience defining and visualizing metrics using Tableau and PowerBI.
Must have expertise in orchestrating ETL processes using Apache Airflow (preferred).
Must have proficiency in advanced statistical methods, machine learning, and predictive analytics (preferred).

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