Senior Principal Data Scientist

Northrop Grumman

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Magna, UT
Salary
$135,000–$202,600 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $161k
This role $169k
$100k most similar roles pay here $228k

This role pays more than 59% of similar roles. Most pay $134,375–$188,175 — the shaded band above. At the midpoint, this role pays about $169k versus about $161k 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 352 open roles on FindRole.

Listed pay typically runs $114,000–$171,000 across 337 roles with salary data.

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At a glance

TL;DR · Senior Principal Data Scientist

As a Sr. Principal Data Scientist, you will join the Space Sector team to apply reliability, statistics, and data science expertise to solid rocket motor hardware design, production, test, and sustainment. You will collaborate with engineering, quality, operations, and supply chain teams to develop failure modes, estimate manufacturing variability, and model material properties based on characterization testing. Your daily work involves analyzing performance test data, monitoring aging trends for fielded hardware, and developing predictive cost models for programs. To succeed in this role, you must utilize probabilistic statistics, Bayesian uncertainty quantification methods, and tools such as Rstudio or Statistica. You will solve complex technical problems regarding system reliability and manufacturing defect reduction while creating technology roadmaps and maintaining databases to support the lifecycle of solid rocket motor systems within a production environment.

What does a Data Scientist earn?

Median $162000 from 278 postings across 56 companies.

See salary data

What you'll do

  • Apply reliability, statistics, and data science expertise to solid rocket motor hardware design, production, test, and sustainment.
  • Develop failure modes, estimated variability, and probabilities of failure for individual components and entire systems.
  • Partner with process and quality teams to develop manufacturing variability estimates and statistical process controls.
  • Support manufacturing defect reduction initiatives and improve production processes.
  • Model and maintain data for material properties based on characterization and acceptance testing.
  • Design, analyze, and interpret data from various performance tests on solid rocket motor systems.
  • Develop models and reports to monitor aging trends and service life estimates for fielded hardware.
  • Create predictive cost models for products and programs while developing technology roadmaps and new tools.

What we're looking for

  • Bachelor's degree in Statistics, Data Science, Engineering, or another quantitative field with 8 years of professional experience.
  • Master's degree in Statistics, Data Science, Engineering, or another quantitative field with 6 years of professional experience.
  • PhD in Statistics, Data Science, Engineering, or another quantitative field with 4 years of professional experience.
  • Must have a current, active U.S. Government DoD Secret security clearance at the time of application.
  • Knowledge of solid rocket motor components, functions, and manufacturing processes.
  • Knowledge of systems reliability, probabilistic, and Bayesian uncertainty quantification statistical methods.
  • Experience with Rstudio, Statistica, or other similar statistics software.
  • Dual-degree, MS degree, or other advanced training and certification (preferred).

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