Sr. Scientist, Analytic Science

FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!

The Opportunity 

"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."  – Director Analytic Science 

What You’ll Contribute 

• Work with large amounts of real-world data and ensure data quality throughout all stages of acquisition and processing, including data collection, normalization and transformation. 

• Build features that enhance and empower consumer understanding of the FICO Score.

• Research and select appropriate statistical methods and computational algorithms.

• Oversee project teams building high-end analytic models and tools for relevant problems using statistical modeling techniques. Manage these projects under time constraints, working with other teams within FICO to provide high quality support to enable integration and deployment of analytics software and solutions.

• Assist with model go-lives by performing production data validations and analysis of models in production. 

• Assist with client meetings to investigate and resolve problems.  Apply data mining methodology in thorough analyses of model behavior and provide support for customer meetings, model construction and pre-sales.  May also participate in post-implementation support. 

What We’re Seeking 

• Bachelor's Degree in Computer Science, Cognitive Science, Engineering, Physics, Statistics, Mathematics, Operations Research or other Natural Science fields

• Proven hands-on related experience in predictive modeling and data mining. 

• Experience working with U.S. Credit Bureau data (Highly Preferred)

• Experience building B2C facing analytic solutions.

• 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. 

• Experience working with at least two of the following: R, SQL, SAS, Java, Python, C++ or C. 

• Experience with analytic techniques such as neural networks, logistic regression, non-linear regression, random forests, decision trees, support vector machines, linear/non-linear optimization (Highly Preferred). 

Our Offer to You