At General Motors Insurance, we are building an Insurtech business that will reinvent auto insurance, leveraging the largest connected vehicle fleet worldwide and 900+ data points from the vehicle to revolutionize auto insurance, backed by the bold GM vision of zero crashes, zero emissions and zero congestion.
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, SQL, R, Excel, Word, PowerPoint
- 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
- Proficiency in Python required
Responsibilities
- Provides leadership, coaching, and/or mentoring to Data Scientists I and II
- Performs research, analysis, and modeling on organizational data
- Assists in analyzing key metrics and performing data analysis
- Build 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
- 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
- 4+ years as a Data Scientist or similar quantitative field required
- Master’s Degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Computer Science, Physics or similar quantitative field required
- Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management by making complex concepts easy to understand
- 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
