Statistician

Position Overview:

The Statistician works within our quality department to apply statistical methods to real-world manufacturing and quality assurance.

Location: On-site in Lynchburg, Virginia

Your Day to Day as a Statistician:

• 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

Basic Qualifications:

• Bachelor's Degree in Statistics (by December 2027) is required.
• 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.
• Must be able to obtain and maintain a U.S. Department of Energy (DOE) clearance

Qualifications for more experienced roles:

• Bachelor's Degree in Statistics is required.
• 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.
• 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.

What We Offer:

• 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!