Data Mining Engineer- Threat Detection

Posted:	12 November 2011
Company name:	McAfee
Location:	Alpharetta, GA
	United States
Travel:	occasionally
Poster represents:	employer
Terms of employment:	Salaried employee
Hours:	full time
Onsite:	yes
Description: The Global Threat Intelligence team at McAfee Labs is looking for an addition to their team, located in Alpharetta, GA, for researching and developing novel threat detection systems. . Data mining of security data sets . Large scale data processing using map/reduce and other techniques . Feature extraction and selection, development and integration of classifier code . Design of efficient and effective classifiers working on large scale data sets
Required skills: . B.S. or M.S degree in Computer Science, Electrical Engineering, Mathematics. PhD is preferred. . Familiarity with at least one common data mining tools. R or Weka is preferred. . Good programming skills in Java. . Proficient with Linux. . Experience with SQL databases.
Desired skills: . Experience with supervised learning techniques (e.g. Logistic Regression, Linear Discriminate Analysis, Support Vector Machines, Decision Trees, Neural Networks, Bagging/Boosting) and unsupervised learning techniques (e.g. k-Means, Hierarchical Clustering) is a big plus . Background in network security research (e.g. malware detection, malicious url detection, botnet detection, spam email filtering) is a big plus . Background in underlying math and statistical theory (e.g. Bayesian learning framework, Markov models, Principal Component Analysis, Factor Analysis) is a plus . Familiarity with Hadoop and map/reduce is a plus . Programming skills in Python, Perl, C/C++ are a plus
URL for more information: http://mcaf.ee/ktygh
Contact information: Wendy Gillette McAfee Team Lead, Talent Acquisition, R&D wendy_gillette@mcafee.com 408-346-3884