Analytic Scientist I

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. *This is a hybrid role. Candidates must be able to work onsite from our Novato, CA office at least 3.5 days per week, with the remaining time eligible to be worked remotely. 

What You’ll Contribute

• Develop and enhance FICO Scores with the latest data and state-of-the-art decisioning techniques.
• Design and develop exploratory analyses and predictive models to solve business problems. This includes assessing historical data for modeling suitability, cleaning data, identifying patterns, creating variables, defining sampling criteria and performance definitions, and selecting variables.
• Support new and existing products through analytic investigations for internal teams and clients, and through analytic content for sales and client materials.
• Document your methods and results thoroughly and explain them clearly to technical and non-technical colleagues.

What We’re Seeking

• Bachelor’s Degree in Computer Science, Data Science, Engineering, Physics, Statistics, Mathematics, Operations Research or other Quantitative Science Field.
• Hands-on experience, academic or industry, building predictive models on real-world data, including data cleaning and statistical analysis of large datasets.
• Exposure to working with financial services or credit data (or similar relevant industry).
• Proficiency in one or more of the following: R, Perl, Python, SAS, SQL, Java, C, and C++ and familiarity with basic software design principles and coding standards/best practices. 
• Experience analyzing large datasets and applying data-cleaning techniques and statistical analysis.
• Knowledge and exposure to some of the following areas: 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.
• Intellectually curious, motivated self-starter with strong potential to learn new concepts quickly and adapt in a fast-paced environment. 

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: $88,000 to $121,000 with this range reflecting differences in candidate knowledge, skills and experience.