Statistician

About This Role

This statistician role is within the quality department, applying statistical methods to manufacturing and quality assurance in a real-world setting. BWXT is hiring talented professionals at all experience levels for this role, from those just starting their careers to seasoned experts.

Responsibilities

• 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
• Assist other groups in the facility with problem-solving investigations, continuous improvement initiatives, and cost reduction assessments
• Perform other duties as assigned

Requirements

• Bachelor's Degree in Statistics (by December 2027)
• 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
• U.S. citizen
• Ability to obtain and maintain a U.S. Department of Energy (DOE) clearance

For more experienced roles:

• Two or more years of statistical experience
• Experience with SAS Statistical Software: Basic DATA step processing, reporting, the macro facility, and analysis procedures such as MEANS, UNIVARIATE, and GLM

Nice to have:

• Experience with SAS Statistical Software features such as 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

Benefits

• Health, dental, and retirement plans
• Professional development opportunities, including mentorship programs and sponsorship for continuing education