Analytic Scientist I
About The Position
FICO is seeking an Analytic Scientist I to develop and enhance FICO Scores using current data and decisioning techniques. The role involves designing exploratory analyses and predictive models to address business problems, including assessing and cleaning historical data, identifying patterns, creating variables, defining sampling criteria and performance measures, and selecting variables. The scientist will support new and existing products through analytic investigations for internal teams and clients, as well as content for sales and client materials. The role requires thorough documentation and clear communication of methods and results to technical and non-technical colleagues. This is a hybrid position. The employee must work onsite at FICO’s Novato, California office at least 3.5 days per week; the remaining time may be worked remotely. The position offers a targeted base pay range of $88,000 to $121,000, with the range 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.
- Exposure to financial services or credit data, or a similar relevant industry.
- 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.
- Experience analyzing large datasets and applying data-cleaning techniques and statistical analysis.
- Intellectual curiosity, motivation as a self-starter, strong potential to learn new concepts quickly, and adaptability in a fast-paced environment.
Nice To Haves
- Knowledge of or exposure to 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, 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.
- Thoroughly document methods and results and explain them clearly to technical and non-technical colleagues.
Benefits
- Competitive compensation, benefits, and rewards programs.
- Learning experiences and opportunities for professional development.
- Work/life balance.
- Employee resource groups.
- Social events that promote interaction and camaraderie.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
