Jobs

Description: As a member of the SAS Enterprise Miner Development team, you will develop state-of-the-art algorithms to solve problems in text and data mining.

Your primary responsibility will be to develop algorithms to analyze tone and sentiment in textual documents, and to develop learning techniques to perform Boolean rule induction for textual categorization. In this role, you will collaborate with applications developers, senior statistical researchers, product marketing, systems engineers, and technical support personnel; and work with testing and documentation staff to develop test plans and contribute to product documentation. You will also research data mining applications; plan and develop implementations; and author papers and presentations on your work.

Qualifications Essential:

• Ph.D. degree in statistics, computational linguistics, computer science, or a related quantitative field

• Master's degree in statistics, computational linguistics, computer science or a related quantitative field
• 2 years of experience developing statistiical algorithms

Excellent interpersonnal and problem-solving skills

• Excellent writteen and verbal communication skills
• Ability to wwork independently, as well as with a team
• Knowledge of predictive modeling methods and applications

Preferences:

• 3 years of experience developing statiistical algorithms
• 2 years of experience prograamming in C
• Experience with SQL programming in relational database environments
• Experience wiith SAS platform technologies, such as Stored Process Development

The level of this position will be determined based upon the applicant's education, skills and experience.

Resumes may be considered in the order they are received.

Contact:
Applications accepted online only at:

www.sas.com/jobs/USjobs/search.html

All other forms of application may not be considered. Please refer to job# 08002151 when applying online.