Jobs

Position Overview:
Join a company that makes more than 25 billion decisions a year. By the time you finish reading this job description Fair Isaac will have made tens of thousands of decisions in credit risk assessment and fraud detection around the world. You will be a part of a talented team for designing, developing, and deploying state-of-the-art, data-driven predictive models to solve business problems using the latest technologies in neural networks, machine learning, statistical modeling, pattern recognition, and artificial intelligence.

Job Responsibilities:
The main responsibilities include: analyzing and understanding large amounts of historical data for 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.

Minimum Qualifications:
Recently graduated with Master's or Ph.D. in science, mathematics, or engineering field. Industry or academic experience in employing neural networks, machine learning techniques, 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 attitude, as well as the ability to work independently with minimum direction. Preferred experience with Unix and strong experience in C/C++ and Java.

Contact:

Joseph Milana, JosephMilana@fairisaac.com.