At General Motors Insurance, we are building an Insurtech business that will reinvent auto insurance by leveraging the largest connected vehicle fleet worldwide and utilizing over 900 data points from the vehicle to revolutionize auto insurance and achieve 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
- Proficiency in Python required
- Comprehensive knowledge and experience with technical systems, datasets, data warehouses, and data analysis techniques
- Efficiently work with large datasets
- MS Office 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
