Senior Principal Data Scientist

Northrop Grumman

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Quick summary

Work type
On-site
Location
Wright-Patterson AFB, OH
Salary
$142,200–$213,200 / yr
Employment
Full-time
Posted
77 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $175k
This role $178k
$107k $238k
below market most similar roles pay here above market

This role pays more than 64% of similar roles. Most pay $141,875–$208,800 — the blue band above. At the midpoint, this role pays about $178k versus about $175k 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 629 open roles on FindRole.

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

Most-posted roles

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At a glance

TL;DR · Senior Principal Data Scientist

The Sr. Principal Data Scientist (AHT) joins the team supporting the National Air and Space Intelligence Center to manage all-source intelligence regarding air, cyber, space, and ballistic missile threats. The role involves assessing current data management states, identifying assets, and developing robust infrastructure for data collection, storage, and processing. Key responsibilities include implementing a comprehensive data lifecycle management framework, ensuring data quality across disparate sources, and establishing integration solutions for seamless interoperability. The position requires leveraging machine learning, artificial intelligence, and data visualization to derive actionable insights. Necessary technical skills include experience with cloud platforms like AWS, Azure, or Google Cloud, as well as SQL, NoSQL, Tableau, Power BI, JMP, and MATLAB. The work focuses on aligning data initiatives with strategic goals and intelligence community requirements.

What does a Data Scientist earn?

Median $173200 from 338 postings across 66 companies.

See salary data

What you'll do

  • Assess the current state of data management, assets, systems, and processes within NASIC.
  • Recommend robust data infrastructure and architecture for collection, storage, processing, and analysis.
  • Identify modern technologies like cloud computing and big data platforms to enable scalable data management.
  • Implement a comprehensive data lifecycle management framework from acquisition through disposal.
  • Establish mechanisms to ensure data quality and integrity across disparate data sources.
  • Implement data integration solutions to enable seamless interoperability between different systems and organizations.
  • Leverage machine learning, artificial intelligence, and data visualization to derive actionable insights.
  • Identify training programs and capacity building initiatives to empower personnel with data management skills.

What we're looking for

  • High school diploma with 12+ years of experience, OR bachelor’s degree with 8+ years, OR master’s degree with 6+ years of experience.
  • Experience with Intelligence Community (IC) data requirements and related challenges.
  • Experience aligning data initiatives with DoW strategic goals and IC mission objectives.
  • Experience in data lifecycle management, including governance, quality, and security.
  • Experience designing scalable, secure, and efficient data architectures.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage and processing.
  • Experience with relational and non-relational databases (SQL, NoSQL) and data warehousing.
  • Experience using data visualization tools (e.g., Tableau, Power BI) to present insights.
  • Active TS/SCI security clearance.
  • U.S. Citizenship is required.
  • Proficiency in SQL (preferred).
  • Experience mentoring and leading peers on data science projects (preferred).
  • Applied statistics experience (distributions, testing, regression) (preferred).
  • Proficiency with JMP, including scripting in JSL (preferred).
  • Experience with MATLAB for data analysis or modeling (preferred).

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