Analytic Science, Lead Scientist

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

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

• Designs and develops state-of-the-art, data-driven exploratory analysis as well as predictive and decision models to solve business problems. This includes the analysis of large amounts of historical data, determining suitability for modeling, data clean-up, pattern identification and variable creation, selection of sampling criteria and performance definition, and variable selection.

• Assists with technical product support for new or existing products/services; this includes, but is not limited to, production of sales collateral or ad-hoc investigations initiated by internal or external clients.

• Oversight of project timelines and guidance of other junior analysts.

• May deliver formal presentations of work to clients.

What We’re Seeking

• Bachelor’s Degree in Computer Science, Cognitive Science, Engineering, Physics, Statistics, Mathematics, Operations Research or other Natural Science Field.

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

• Experience building B2C-facing analytic solutions (Highly Preferred).

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

• Bachelor's degree in applied mathematics, statistics, operations research, engineering, computer science or related technical discipline. Course work in probability, statistics and quantitative methods required.

• Related experience (school or industry) in predictive modeling and data mining is preferred.

• Experience with one or more of R, Python, SAS, SQL, and Java/C++, experience with tools for machine learning and unstructured data analysis (e.g., H2O, Splunk, TensorFlow, etc.) and familiarity with basic software design principles and coding standards and best practices.

• Experience with distributed computing environments (e.g., Spark, Hadoop) and cloud-based environments and services (e.g., AWS) would be a plus.

• Experience analyzing large datasets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of datasets.

• Prefer knowledge in some of the following: clustering, classification and regression trees, random forest and gradient boosting algorithms, time series analysis, Bayesian networks, PCA, independent component analysis, linear and logistic regressions, inference, estimation, experimental design, neural networks, SVM.

Our Offer to You

• 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: $120,000 to $189,000 with this range reflecting differences in candidate knowledge, skills an