Principal Data Scientist

Northrop Grumman

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Palmdale, CA
Salary: $125,300–$187,900 / yr
Posted: 39 days ago
Freshness: Confirmed live 2 days ago
Nearby: 12 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $170k

This role $157k

$104k most similar roles pay here $238k

This role pays less than 69% of similar roles. Most pay $137,743–$202,289 — the shaded band above. At the midpoint, this role pays about $157k versus about $170k 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 367 open roles on FindRole.

Listed pay typically runs $114,900–$176,300 across 353 roles with salary data.

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At a glance

TL;DR · Principal Data Scientist

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The Principal Data Scientist joins the Program Management Office as an individual contributor to manage data infrastructure and analytics for complex engineering and business datasets. The role involves managing and securing SQL databases, writing optimized queries, and developing automated ETL pipelines using Apache Airflow. The successful candidate will build interactive dashboards in Tableau or PowerBI to communicate technical metrics to diverse stakeholders while utilizing Python for advanced data manipulation and automation. Working within an Agile/Scrum framework and using Gitlab for version control, the individual will create data mining architectures, statistical reporting, and analysis methodologies to identify trends in large datasets. The position requires expertise in predictive and prescriptive analytics to solve business issues and provide a competitive advantage by bridging the gap between technical specifications and organizational requirements through advanced statistical methods and machine learning techniques.

What does a Data Scientist earn in California?

Median $208978 from 66 postings across 27 companies.

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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 dashboards in Tableau or PowerBI to communicate technical metrics to various stakeholders.
Develop 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 and code reviews within an agile/scrum framework.
Perform predictive and prescriptive analytics using advanced statistical methods and machine learning techniques.
Support project management tasks including budget review, resource planning, and administrative functions.

What we're looking for

Must have an active U.S. Government DoD Secret security clearance at time of application.
Must be a U.S. citizen.
Bachelor's degree in science with 5 years experience, or a Master's with 3 years, or a PhD with 1 year.
Experience writing, optimizing, and troubleshooting complex SQL queries and managing SQL databases.
Experience developing and managing ETL processes, specifically using Apache Airflow.
Experience building interactive dashboards and reporting in Tableau and/or PowerBI.
Proficiency in Python programming for data analysis, manipulation, and automation.
Experience with version control systems like Gitlab and Agile/Scrum methodologies.

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