Northrop Grumman Mission Systems is seeking a Principal/Sr. Principal Factory Statistician to pioneer new approaches, design and implement technologies for a computer integrated manufacturing system, and to make data driven statistically relevant decisions.
Requirements
- Demonstrate expertise with applied statistics and statistical analysis methods such as ANOVA, T-test, Tukey, etc.
- Skilled in the planning, execution and analysis of Design of Experiment (DOE) methods such as Factorial and Taguchi.
- Understanding of Statistical Process Control methodology and how to best apply charting techniques such as Xbar, R charts, Moving Average and multi variable charts.
- Familiarity with 6-sigma concepts.
- Demonstrated problem solving skills in a manufacturing environment.
- Experience with STEM area (Science, Technology, Engineering or Math)
- Knowledge of statistical software and programming languages
Responsibilities
- Proposes appropriate data analytics techniques and sample sets required to make data driven statistically relevant decisions.
- Evaluates proposed manufacturing changes to ensure statistical validity of data analysis used to justify changes.
- Standardize statistical process control methodology, evaluations, requirements and key performance indicators consistent with statistical best practices.
- Assist with the regular review and summarization of SPC data for the fab.
- Coordinate with engineers and provide statistical consultations for data analysis and experimental design.
- Collaborate on the development of curriculum for standardizing the training of fab personnel on SPC, DOE and statistical data analysis techniques.
- Work collaboratively with other engineering team members.
Other
- Must be willing to work on site 100% of time.
- Limited travel to local Northrop Grumman facilities may be required.
- This position requires the applicant to be a U.S. citizen.
- Must be able to obtain and maintain a US government security clearance per business requirements.
- A degree in a STEM area (Science, Technology, Engineering or Math) with a minimum of 5 years of experience with a bachelor’s degree, 3 years of experience with a master’s degree, or 0 years of experience with a PhD.
