Jobs

Career Education Corporation (NASDAQ: CECO), ranks fourth on FORTUNE magazines 2004 list of the 100 Fastest-Growing Companies, and is the world's largest on-campus provider of private, for-profit postsecondary education, operating 82 brick-and-mortar campuses worldwide.

Responsibilities:

• Develop, model, integrate, implement and enhance our Data Mining Platform for our Student Persistence Project
• Work as part of a team to develop, channel and capture data from 80+ brick and mortar schools across the globe
• Build the predictive models to improve retention and graduation rates among those schools
• Assist in developing strategies, predictive models, process improvements and new automation tools to enhance the productivity and usage of data mining techniques
• Database development incorporating data mining technologies and processes as well as creation of new algorithms and techniques, data analysis and predictive modeling
• Design, specify and develop state-of-the-art machine learning/analytical modules for scalable Data Mining engine and applications

• Bachelor's degree in Machine Learning or a related field
• High degree of technical and scientific expertise in core Data Mining and Knowledge Discovery technologies, including Machine Learning, Multivariate Statistics and High Performance Computing
• At least 6-8 years of experience in Data Mining and Modeling techniques
• 4-6 years of related Data Mining experience in an Educational Institution
• 2-3 years of experience with Clementine Software or SPSS tools
• Highly proficient in Microsoft Office software
• Advanced analytical and problem solving skills
• Excellent oral and written communication skills

For consideration, please e-mail your resume to:

hrinfo@careered.com

Please reference Job Code: DMM-IL in the subject line of your e-mail.

Career Education Corporation is an Equal Opportunity Employer