The Statistician works within our quality department to apply statistical methods to real-world manufacturing and quality assurance.
Perform Statistical evaluations of quality assurance data using exploratory data analysis, regression, mixed models' analysis, and statistical process control techniques within a manufacturing environment.
Perform and evaluate statistical analysis to comply with contract requirements.
Document statistical justifications for requirement acceptance and/or violations to support technical acceptance documents and manufacturing component release activities.
Qualify measurement and inspection systems using statistical evaluations including gage R&R studies and process capability studies.
Develop programs in the SAS language which will allow users to perform the required statistical analyses on the product.
Assists other groups in the facility with problem solving investigations, continuous improvement initiatives, and cost reduction assessments.
Performs other duties as assigned
Bachelor's Degree in Statistics is required. Master's Degree is preferred.
Two or more years of statistical experience is required.
Experience with SAS Statistical Software is required: Basic DATA step processing, reporting, the macro facility, and analysis procedures such as MEANS, UNIVARIATE, and GLM.
Strong oral and written communication skills.
Detail oriented and clear decision-making skills.
Ability to work independently as well as collaboratively within a team environment.
Ability to select the appropriate statistical analysis to fit the problem and produce relevant results.
Effectively manage time in an environment that demands multi-tasking.
Experience with Microsoft Office products, especially Word and Excel
Must be a U.S. citizen with no dual citizenship
Must be able to obtain and maintain a U.S. Department of Energy (DOE) clearance
Master's Degree is preferred.
Experience with SAS Statistical Software features is preferred:
Advanced DATA step processing techniques (e.g. multidimensional arrays and hash objects), SAS/AF, The SQL procedure, SAS/GRAPH, and mixed modeling statistical procedures such as MIXED and GLIMMIX.
Experience fitting and evaluating general linear mixed-effect statistical models is preferred.
Competitive salary and benefits package, including health, dental, and retirement plans.
Professional development opportunities, including mentorship programs and sponsorship for continuing education.
An inclusive atmosphere that celebrates new perspectives and supports collaboration between different generations.
The chance to be part of a mission-driven organization making a positive impact on the future of energy.
Opportunities for continuous learning and training to grow throughout your career!