Date: Wed, 10 Feb 1999 18:12:53 -0500 From: Ismail Parsa, iparsa@epsilon.com Subject: Analytic Positions at Epsilon Web: http://www.epsilon.com Epsilon is a full-service database marketing company headquartered in Burlington, MA. Since 1969, we've been helping our clients turn their customer data into information-driven marketing strategies to solve business problems and build stronger customer relationships. Epsilon has 800 professionals dedicated to delivering integrated database marketing solutions that combine technology, quantitative research and marketing strategy. Epsilon newly created openings for two statistician/data mining professionals to work with Epsilon's Analytic Consulting Group of 25 consultants/statisticians. The statisticians are involved in all aspects of analytic projects from understanding of the business issue and proposing analytic solutions to handling, cleaning, exploring and modeling large datasets and data mining. The group is working with clients from a diverse set of industries such as telecommunications, technology, not-for-profit, financial services, health care and retail. The Statistician/Data Miner position requires excellent applied data analysis and modeling skills. Qualifications include either a Ph.D. degree in Statistics/Quantitative field or a M.S. degree in Statistics/Quantitative field with 1-3 years of applicable statistical/data mining experience in a business setting. The successful candidate will be able to readily design, estimate and interpret descriptive and predictive models using cluster analysis, factor analysis, decision trees and general linear models with emphasis on linear and logistic regression. Strong problem solving skills and the ability to communicate technical results to a non-technical audience are essential. Proficiency in UNIX and SAS programming is required. Additional desirable skills include familiarity with artificial intelligence techniques, SAS macro language programming, experience in sampling, missing data estimation, application of exploratory data analysis and appropriate model validation techniques. Salary commensurate with experience. We are E.O.E. If you are interested, please email your curriculum vitae or resume to iparsa@epsilon.com Truly yours, Ismail Parsa Director of Quantitative Analysis Epsilon 50 Cambridge Street Burlington MA 01803 USA TEL: (781) 685-6734 FAX: (781) 685-0806
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