The need for analytics is everywhere! Want to build something meaningful and have fun while doing it? We do too and have been using cutting edge technology to help build industry leading solutions for businesses and consumers in the credit risk space. If you are a problem solver and like the idea of solving tough problems with data and analytics in real world situations, you will thrive here at FICO! You will have the opportunity to work side by side with some of the brightest analytical and engineering minds in the industry who share a passion for innovation.
Bachelor's Degree in Computer Science, Cognitive Science, Engineering, Physics, Statistics, Mathematics, Operations Research, or other Natural Science fields (Highly Preferred).
Advanced proficiency using analytic techniques such as neural networks, logistic regression, non-linear regression, random forests, decision trees, support vector machines, linear/non-linear optimization (Highly Preferred).
Deep level of expertise in predictive modeling and data mining, with demonstrated hands-on related experience in a relevant industry.
Experience working with U.S. Credit Bureau data (Highly Preferred).
Extensive experience analyzing large data sets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of data sets.
Proven experience working with at least two of the following: Python, Java, R, SQL, MATLAB, SAS, C++ or C.
Proven ability to collaborate cross functionally with various stakeholders and senior leadership, including experience presenting and articulating technical topics and analytics.
An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers, and Earn the Respect of Others.
The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
The targeted base pay range for this role is: $140,000 to $220,000 with this range reflecting differences in candidate knowledge, skills and experience.