Sr. Principal Data Scientist

Northrop Grumman•Magna, UT

9d•$135,000 - $202,600•Onsite

About The Position

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Expand your horizons, advance your career, and contribute to a secure future for generations. Northrop Grumman’s Space Sector invites you to bring your pioneering spirit to our collaborative teams. As a Sr. Principal Data Scientist – Level 4 located in Magna, UT you’ll be a linchpin in missions of paramount importance, defining the art of the possible from day one. The Sr. Principal Data Scientist 4 applies reliability, statistics, and data science expertise to solid rocket motor hardware design, production, test, and sustainment. This is a highly versatile technical position, requiring strong primary collaboration with engineering, as well as work in partnership with quality, operations, supply chain, program management, and business management. The successful candidate blends knowledge of probabilistic statistics and uncertainty estimation methods with knowledge of solid rocket motor products and processes.

Requirements

Bachelor’s degree in Statistics, Data Science, Engineering or other quantitative field (Mathematics, Industrial Math, Reliability Engineering) with 8 years of professional experience – OR – Master’s degree in Statistics, Data Science, Engineering or other quantitative field (Mathematics, Industrial Math, Reliability Engineering) with 6 years of professional experience – OR – PhD with 4 years of professional experience.
Must have a current, active U.S. Government DoD Secret security clearance at the time of application.
Basic knowledge of solid rocket motor components, functions, and manufacturing processes. Other practical experience with complex systems may be considered.
Knowledge of systems reliability, probabilistic and Bayesian uncertainty quantification statistical methods
Experience with Rstudio, Statistica, or other similar statistics software
Ability to learn how to apply statistics and data science in novel applications
Excellent teamwork skills, collaborating with cross-functional teams in highly interdependent environment
Excellent organization, time management, and communication skills
Entrepreneurial drive to proactively identify opportunities and develop solutions
Desire to work with hardware and support a production environment

Nice To Haves

Dual-degree, MS degree or other advanced training and certification preferred.

Responsibilities

Partner with systems and design engineering to develop failure modes and effects, develop data supporting estimated variability and probabilities of failure for each component, model and analyze reliability for the entire system
Partner with process and quality to develop estimates of manufacturing variability, capabilities, inspection, and statistical process controls
Support manufacturing defect reduction and improvement initiatives
Develop models and maintain data for material properties used in design based on characterization and acceptance testing
Design, analyze and interpret data from various performance tests on solid rocket motor systems
Develop models, databases, and provide annual reports monitoring aging trends, service life estimates, and support sustainment activities for fielded hardware
Develop and utilize predictive cost models for products and programs
Develop technology roadmaps and support development of new tools
Other duties as assigned