JobsFrom: Robert Hitlin email@example.com
Date: Fri, 9 Jun 2000 09:36:01 -0400
Subject: Reston, VA: Data Mining Analyst at The DotCom Group
Reply to: Dr. Robert A. Hitlin, Chief Data Scientist (firstname.lastname@example.org) Based in Reston, VA -- The .COM Group is a world-class team of technologists, researchers and Internet veterans -- from such distinguished backgrounds as America Online, Booz Allen & Hamilton, IBM, Magnet Interactive, OmniPoint, Georgetown University, American University and George Mason University -- who are charting new territory on the Web. Pioneers in "Customer Experience Optimization" and innovators in Internet monitoring and reporting, The .COM Group is revolutionizing the way we collect, measure and interpret behavior on the Web. Backed by two of the Industry's most prominent and respected Venture Capital Firms, New Enterprise Associates and The Carlyle Group, The .COM Group is well positioned to become a leading and powerful force in the Industry. The .COM Group offers stock options, competitive salary, a comprehensive benefits package along with some very unique perks and team-building events. We are a dynamic and fast-paced company that's seeking energetic and self-starting individuals with an entrepreneurial spirit. We promise a creative and challenging environment and the opportunity to contribute to the future of the Industry and the Company. If you're looking to work in the world's fastest growing industry with an exceptional team of people, consider working with The .COM Group. The Data Mining Analyst will work as an integral part of an interdisciplinary team composed of human factors engineers, interface designers, cognitive psychologists and human/computer interaction researchers. You will have an immediate impact on the design of our Web monitoring tools, and the ability to contribute to research projects, conference presentations and White Papers. Requirements: At least five years of experience in exploratory data analysis, and in statistical and text data mining Familiarity with SAS Enterprise Miner or related software Academic training in a quantitative field (advanced degree preferred, but not required) Desire to contribute in a team environment with both technical and nontechnical colleagues
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