General Motors Insurance is building an Insurtech business to reinvent auto insurance by leveraging data from GM's connected vehicle fleet to revolutionize auto insurance pricing and underwriting.
Requirements
- 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.
- Maintained advanced skills in some combination of SQL, Python, R, Spark, and other common data science software languages
- Strong knowledge of engineering practices that pertain to data science, such as version control, CI/CD, model deployment, and model monitoring
- Ability to design and implement model documentation and monitoring protocols
- Comprehensive knowledge and experience with technical systems, datasets, data warehouses, and data analysis techniques
- Efficiently work with large datasets
- Deep understanding of the various aspects of insurance marketing operations, with preferred experience building models such as for bind, retention, and life-time value.
Responsibilities
- Provides leadership, coaching, and/or mentoring to data science team
- Performs research, analysis, and modeling on organizational data
- Assists in analyzing key metrics and performing data analysis
- Builds technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms
- Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business
- Develops and applies 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
- Ability to be curious in all aspects of the business and your role and continuously learn.
- Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management by making complex concepts easy to understand
- Ability to be curious, ask questions, explore, and be creative when analyzing data and business problems
- Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment
