Analytic Scientist I

FICO•San Rafael, CA

2d•$88,000 - $121,000•Hybrid

About The Position

FICO is hiring an Analytic Scientist I to help develop and enhance FICO Scores using current data and advanced decisioning techniques. The role involves designing exploratory analyses and predictive models to solve business problems, including assessing and cleaning data, identifying patterns, creating variables, defining sampling and performance criteria, and selecting model variables. The scientist will also support new and existing products through analytic investigations for internal teams and clients and by contributing analytic content to sales and client materials. The position requires thorough documentation and clear communication of methods and results to technical and non-technical colleagues. This is a hybrid role requiring the candidate to work onsite at FICO’s Novato, California office at least 3.5 days per week, with the remaining time eligible to be worked remotely. The targeted base pay range is $88,000 to $121,000, reflecting differences in candidate knowledge, skills, and experience.

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, Physics, Statistics, Mathematics, Operations Research, or another quantitative science field.
Hands-on academic or industry experience building predictive models on real-world data, including data cleaning and statistical analysis of large datasets.
Experience analyzing large datasets and applying data-cleaning techniques and statistical analysis.
Proficiency in one or more of R, Perl, Python, SAS, SQL, Java, C, or C++.
Familiarity with basic software design principles and coding standards or best practices.
Intellectual curiosity, motivation as a self-starter, and strong potential to learn new concepts quickly and adapt in a fast-paced environment.

Nice To Haves

Exposure to financial services or credit data, or a similar relevant industry.
Knowledge or exposure to clustering, classification and regression trees, random forests, gradient boosting algorithms, time series analysis, Bayesian networks, PCA, independent component analysis, linear and logistic regressions, inference, estimation, experimental design, neural networks, or SVM.

Responsibilities

Develop and enhance FICO Scores using the latest data and state-of-the-art decisioning techniques.
Design and develop exploratory analyses and predictive models to solve business problems.
Assess historical data for modeling suitability, clean data, identify patterns, create variables, define sampling criteria and performance definitions, and select variables.
Support new and existing products through analytic investigations for internal teams and clients.
Develop analytic content for sales and client materials.
Document methods and results thoroughly and explain them clearly to technical and non-technical colleagues.