GM Financial is looking to solve business problems in originations, collections, risk, pricing, fraud, customer experience, and marketing through predictive, prescriptive, and statistical models.
Requirements
- Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statistics
- Advanced knowledge and demonstrated understanding of applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decision trees, multivariate methodologies, non-parametric techniques, principal components, and linear programming techniques
- Advanced skills in Python, SAS, SQL, R, JMP, Excel, Word, PowerPoint
- Comprehensive knowledge and experience with technical systems, datasets, data warehouses, and data analysis techniques
- Efficiently work with large datasets
- Ability to design and implement model documentation and monitoring protocols
- Ability to identify and understand business issues and map these issues into quantitative questions
Responsibilities
- Implementing the design, development, deployment, and maintenance of predictive/prescriptive/statistical models
- Modeling with expertise in forecasting, optimization, data mining, analysis, and analyzing complex datasets
- Conducting studies with the use of descriptive and supervised machine learning methods and advanced statistical methods
- Summarizing, reporting, and providing polished presentations of findings to a variety of internal clients
- Leading in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance
- Develop and apply algorithms or models to key business metrics with the goal of improving operations or answering business questions
- Presents findings and analysis for use in decision making
Other
- Provides leadership, coaching, and/or mentoring to Data Scientists I and II
- Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management
- Ability to interact collaboratively with internal and external customers
- Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure
- 4+ years as Data Scientist or similar quantitative field required
