Basic Qualifications: Bachelor's degree in Statistics, Data Science, Engineering or other quantitative field (Mathematics, Industrial Math, Reliability Engineering) with 8 years of professional experience- OR - Master's degree in Statistics, Data Science, Engineering or other quantitative field (Mathematics, Industrial Math, Reliability Engineering) with 6 years of professional experience- OR - PhD with 4 years of professional experience. Job responsibilities include, but are not limited to, the following: Partner with systems and design engineering to develop failure modes and effects, develop data supporting estimated variability and probabilities of failure for each component, model and analyze reliability for the entire system.