Jobs
From: Laura Skibiski
Date: 30 Jun 2006
Subject: New York, NY, USA: Chief Scientist, Spatiotemporal Pattern Analysis at Ma� Networks
Ma� Networks is an intelligence company that uses real time and
historical geospatial data to model and predict consumer behavior,
company and sector performance.
We are seeking a top caliber data architect to help us build a large
scale spatiotemporal data mining and pattern analysis system. The
optimal candidate has a strong background in research over a broad
area of data mining ranging from information retrieval to pattern
recognition.
You must possess:
- A passion for datasets with millions and billions of observations
- Creativity to build something completely new and exciting
- Ability to hold your own with academic scientists at top institutions and leading practitioners from industry
- Desire to work at a small but well funded and rapidly growing company, including an equity stake
- Deep experience in either geospatial/spatiotemporal information retrieval, or geospatial pattern analysis
- An intuitive sense for data-insights with a clear process leading from data -> intuition -> conclusions
- Experience in two of the four following areas: design of experiments, feature extraction, data mining/analysis, information retrieval
- Ability to lead teams of researchers through a variety of problems: statistical analysis, data mining, parallel processing
- A great team-player attitude and exemplary communication skills
Experience we're interested in:
- Econometrics research and analysis
- Human-Computer Interaction research and application
We are also seeking lead programmers in this same space.
Both positions are in downtown Manhattan near NYU.
Contact:
Please send an introductory note with your resume to Laura.
laura@maonetworks.com
| |
|