| Responsibilities:
? Analyze historical databases to build predictive models and data-driven knowledge tools.
? Perform methodological research and/or evaluate new methodology.
? Collaborate with chemists and engineers on problems in formulation development, performance testing, and process/product development.
? Design and analyze experiments.
The ideal candidate will possess:
? Recent Master's or Ph.D. degree in statistics, machine learning, or closely related field.
? Strong modeling background with experience in Bayesian inference, regression and classification analysis, and multivariate statistics. Training in experimental design.
? Knowledge and/or interest in machine learning and modern regression methods (e.g., CART, MARS, radial basis functions, Bayesian networks, nonlinear optimization algorithms, multimedia analysis).
? Strong computing background with high-level programming experience (e.g., C, Fortran), and proficiency in SAS or S-Plus.
? Excellent oral and written communication skills and the ability to work in a team environment.
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