Analytic Scientist II
About The Position
FICO is seeking an Analytic Scientist II to develop data-driven analyses and predictive and decision models that solve business problems, particularly in the credit risk space. The role involves working with large amounts of historical data to assess modeling suitability, clean and explore data, identify patterns, create and select variables, define sampling criteria, and evaluate performance. The scientist will also assist with technical product support for new and existing products and services, including producing sales collateral and conducting investigations requested by internal or external clients. The position includes oversight of project timelines and guidance of junior analysts, and may involve presenting work formally to clients. This is a hybrid role requiring onsite work at FICO’s Novato, California office at least 3.5 days per week, with the remaining time eligible to be worked remotely.
Requirements
- Bachelor’s degree in Computer Science, Cognitive Science, Engineering, Physics, Statistics, Mathematics, Operations Research, or another natural science field.
- Hands-on experience building predictive models and mining data.
- Proficiency in one or more of R, Python, SAS, SQL, and Java/C++.
- Experience analyzing large datasets and applying data-cleaning techniques and statistical analysis.
- Knowledge or exposure to areas including 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.
- Experience with tools for machine learning and unstructured data analysis, such as H2O, Splunk, or TensorFlow.
- Familiarity with basic software design principles, coding standards, and best practices.
Nice To Haves
- Experience working with U.S. Credit Bureau data (highly preferred).
- Prior experience working with financial, banking, or consumer lending data.
- Experience with distributed computing environments such as Spark or Hadoop.
- Experience with cloud-based environments and services such as AWS.
Responsibilities
- Design and develop data-driven exploratory analyses, predictive models, and decision models to solve business problems.
- Analyze historical data, assess its suitability for modeling, clean data, identify patterns, create and select variables, choose sampling criteria, and define performance measures.
- Assist with technical product support for new and existing products and services, including producing sales collateral and conducting ad-hoc investigations for internal or external clients.
- Oversee project timelines and guide junior analysts.
- May deliver formal presentations of work to clients.
Benefits
- Competitive compensation, benefits, and rewards programs.
- Professional development and valuable learning experiences.
- Work/life balance.
- Employee resource groups.
- Social events to promote interaction and camaraderie.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
