Staff Data Scientist

Northrop Grumman

Requisition ID: R10091712
Category: Research and Sciences
Location: Corinne, UT, USA | Magna, UT, USA +1 more
Citizenship Required: United States Citizenship
Clearance Type: Secret
Telecommute: Yes-May consider hybrid teleworking for this position
Shift: 1st Shift (United States of America)
Travel Required: Yes, 10% of the Time
Relocation Assistance: Relocation assistance may be available
Positions Available: 1
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.
Northrop Grumman’s Space Systems – Propulsion Division is looking for (STAFF DATA SCIENTIST) to join our team at either the Promontory or Bacchus (Magna) UT, Facilities.
Description & Responsibilities:
This position provides data science and reliability analysis support on Northrop Grumman rocket motor programs including the Space Launch System, both the USAF Sentinel and Minuteman missiles, the US Navy Trident (D5) missile, as well as developing rocket motors such as Hypersonics, Castor and GEM motor programs. This position supports other Propulsion Systems organizations outside of Science and Engineering, (Operations, Business Development, Information Technologies, Quality, etc.) with statistical and reliability analyses.
A Staff Data Scientist provides analysis and support on many programs and varied data types. Opportunities vary widely across many applications of statistics and data science needs as well as using statistical methods to predict reliability measures for rocket and missile programs. There are also opportunities to present findings and predictions to design reviews where rocket and missile designs are reviewed and evaluated by the customer. This position may be located at either the Promontory or Bacchus facilities.
Job Duties:
Design of experiments application to support material development.
Analyze and interpret data from various performance tests on rocket motor systems.
Provide support for reliability predictions on solid rocket motors on various programs as needed.
Support data mining and statistical modeling needs for prediction of aging effects on systems.
Prepare and present reliability allocations and predictions at technical interchange and design review meetings.
Provide consulting support for process control measures on ingredients and material properties data.
Make reliability assessments of engineering changes and signoff on those changes.
Teaching university level courses on design of experiments and statistical process control within the company.
Experience Requirements:
Candidate must have a minimum of a MS degree in statistics and 12 years of experience in statistics and data science.
Ability to travel: Travel expectation of up to 10%
Experience with probability or reliability calculations and topics is a plus.
Teaching statistics classes at a university level is also a plus.
Excellent written and oral communication skills is required.
Self-directed and self-motivated. Strong team player.
Writing, documentation and presentation experience.
Experience, or interest, in teaching university level statistics courses.
Strong skills in MS Word, PowerPoint, Excel
Technical software knowledge or experience with R & Rstudio, JMP, Statistica, or other statistics software
Ability to learn how to apply statistics and data science to other fields of science
Excellent written and oral communication skills
Excellent time management and organizational skills
Competencies for Success:
Experience or background in applied statistics and/or reliability analysis and in teaching like methods
Experience and/or background in design and analysis of experiments
Computer applications programming and/or administration
MS degree in Statistics with 12 years or PhD and 9 years’ Experience
This position reports to Corinne, UT, USA, however, this position can also be worked from Magna, UT, UT, USA.
Salary Range: $153,000 USD – $229,400 USD
Employees may be eligible for a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.
The health and safety of our employees and their families is a top priority. The company encourages employees to remain up-to-date on their COVID-19 vaccinations. U.S. Northrop Grumman employees may be required, in the future, to be vaccinated or have an approved disability/medical or religious accommodation, pursuant to future court decisions and/or government action on the currently stayed federal contractor vaccine mandate under Executive Order 14042
Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO/AA and Pay Transparency statement, please visit U.S. Citizenship is required for most positions.

To apply for this job please visit

Subscribe to Our Newsletter

Enter your email address:
/ 2023 Tech Talent Talk, by MyMobileLyfe