Predictive Modeler
| Company | Auto-Owners Insurance |
|---|---|
| Location | East Lansing, MI, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Junior, Mid Level |
Requirements
- Bachelor’s degree (or equivalent experience) in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.)
- Outstanding problem solving and critical thinking skills
- An understanding of statistical modeling or data science concepts, especially clustering, regression, and classification techniques.
- Aptitude and willingness to learn new things
- Strong communication skills and ability to work as part of a team
Responsibilities
- Use statistical or machine learning techniques to build models that address business needs and comply with regulatory requirements
- Work with large, complex data sets and develop a working knowledge of Auto-Owners data structures and metrics
- Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through visual displays of quantitative information
- Create clear and easy to understand documentation for models
- Monitor model performance and implement iterative improvements
Preferred Qualifications
- (Preferred) Proficiency with common coding languages (Python, R, SQL, etc.)
- (Preferred) Advanced degree in a quantitative discipline
- (Preferred) Professional experience building models with large data sets