KDnuggets : News : 2000 : n12 : item18    (previous | next)


From: Robert Hitlin bob@thedotcomgroup.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 (bob@thedotcomgroup.com)

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

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.


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

KDnuggets : News : 2000 : n12 : item18    (previous | next)

Copyright © 2000 KDnuggets. Subscribe to KDnuggets News!