Jobs

Fair Isaac Corporation is the preeminent provider of creative analytics that unlock value for people, businesses and industries. The company's predictive modeling, decision analysis, intelligence management, decision management systems and consulting services power more than 25 billion mission-critical customer decisions a year.

Job Responsibilities:

The main responsibilities of this position include: analyzing and understanding large amounts of historical data to determine suitability for modeling, data clean-up and filtering, pattern identification and feature extraction, feature (variable) selection, experimenting with different types of algorithms and modeling techniques, analyzing performance, preparing model reports for communication with internal and external clients, participating in pre-sales, and providing post implementation support.

Job Requirements: MS or PhD in Statistics. Industry or academic experience in employing neural networks, machine learning, mathematical/statistical modeling, pattern recognition, or data mining/data analysis on real world problems. Strong problem solving and analytical ability. Excellent communication skills. A statistical thinker and quick learner. Team orientated and at the same time has the ability to work independently with minimum direction. Extensive experience with Unix and at least one major programming language such as C or Java.

Due to contract limitations, candidates MUST BE U.S. Citizens or U.S. permanent residents.

Contact Information:

Dawn Ridz, HR Lead/Recruiter, careers@fairisaac.com or fax to 858-202-2056