STATISTICIAN

Epsilon is a leading relationship marketing company that helps clients create measurable business results through integrated marketing services. Epsilon is committed to maximizing the value, growth and loyalty of clients' customer and prospect portfolio through core services including data analysis, multi-channel direct communications and database marketing. Epsilon services enable clients to build enduring customer relationships by identifying marketing opportunities and creating actionable customer insight. Founded in 1969, Epsilon maintains offices in Boston, Dallas, St. Louis, New York, Cincinnati and Washington, D.C.

Epsilon is seeking a Sr. Statistician in our Analytics group with the following abilities:

'' Excellent applied statistical and data analysis skills
'' Design, Estimate and interpret such techniques as logistic regression, cluster analysis, factor analysis, CHAID
'' Quality and Statistical validity of analysis and presentations
'' Execute projects with detailed guidance on design and execution from manager
'' Provide proficient problem solving and data analysis, derived from modeling and statistical experience
'' Attend and participate in weekly staff meeting and statistical forum
'' Participate in conference call and attend client meetings, as needed

This position requires excellent applied statistical and data analysis skills with 3-5 years of statistical modeling experience in an industrial setting. The successful candidate will be able to readily design, estimate and interpret such techniques as Cluster Analysis, Factor Analysis, CHAID. Strong background in linear and/or nonlinear modeling is essential. Candidates should have at least a Masters in Statistics or an equivalent quantitative degree or experience. Strong SAS programming skills and experience with advanced multivariate techniques are required

RESPOND HERE! Respond immediately by accessing the following
dedicated online response form which will allow you to cut and paste your
resume. This form will go directly and immediately to the
hiring authority for this position. Access the online response form at:
http://64.89.40.26/servlet/resp/rf?jobid=1727550&boardid=711