Applied Mathematician - Company The Boeing Company Job ID 1800053846 Date posted 06/26/2018 Location North Charleston South Carolina United States Job Description The Boeing Company is currently seeking an Applied Mathematician to join our North Charleston, SC location. Responsibilities include: Interprets and formulates problems in mathematical or computational terms. Develops algorithms and evaluates resources to solve mathematical problems. Assists with mathematical research. Contributes to the development of research proposals. Influences colleagues and customers to use mathematical tools and processes. Codes, tests and maintains mathematical software tools. Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers and for the world. Division Engineering Test and Tech Relocation Assistance Available No. Relocation assistance is not a negotiable benefit. Qualifications Basic (Required) Qualifications: - Employer will not sponsor applicants for employment visa status - An advanced degree in Statistics, Biostatistics, Applied Statistics or Applied Mathematics with research in statistics or computational statistics. - Experience in scientific/technical consultation on problems that require interaction with customers to identify and define business or engineering problems and perform subsequent analysis. - Proven ability to grasp these types of problems and formulate, analyze, interpret, and communicate results to the business and engineering community. - More than 3 years of computational statistics experience in R or SAS for statistical analysis or other statistical software packages and an interest in learning R and Python.

• Expertise with statistical models, such as linear models, generalized linear models, and linear mixed models; multivariate statistics; reliability and time series methods; advanced knowledge of probability theory and mathematical statistics. Desired Qualifications: - Experience with Python for data handling. - Ability to apply design of experiments and statistical process control to improve products and processes and create statistical criteria to be used in product and process testing. - Understand of a wide range of statistical techniques with an application to business and engineering problems which may include: Regression Modeling (linear, robust, logistic and mixed models), ANOVA, MANOVA, Time Series Analysis, Bootstrap, Reliability, Uncertainty Quantification, Design of Experiments, Statistical Process Control, Acceptance Sampling, and Statistical Tolerancing. Typical Education/Experience: Technical bachelor's degree and typically 5 or more years' related work experience or a Master's degree with typically 3 or more years' or a PhD degree or an equivalent combination of education and experience. A technical degree is defined as any four year degree, or greater, in a mathematic, scientific or information technology field of study. Experience Level Individual Contributor Job Type Standard Travel Yes, 10 % of the Time Contingent Upon Program Award No Union No Job Code BBAQP3