Senior Product Data Scientist
| Company | Geico |
|---|---|
| Location | Seattle, WA, USA, San Francisco, CA, USA, Fredericksburg, VA, USA, Richmond, VA, USA, Bethesda, MD, USA |
| Salary | $110000 – $230000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- 8+ years experience with writing complex SQL queries and scripting language (e.g., Python, Java, or R)
- 5+ Years Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
- Experience designing, analysis, and refining experiments
- Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, Product management, Program Management, and Analytics
- Intellectual curiosity and drive, decisiveness, ambiguity and complexity
- Bachelor’s degree required
Responsibilities
- Utilize technical expertise (e.g., SQL, R, Python) with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies. Take ownership of open-ended ambiguous business problems to reach an optimal solution
- Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
- Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues
- Identify, measure and report success of product efforts through Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights, forecasting, and monitoring to understand trends and product improvement opportunities
- Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of GEICO data structures and metrics, advocating for changes where needed for product development
- Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
Preferred Qualifications
- Insurance industry experience
- Master’s degree, or Advanced technical degree
- Experience with predictive modeling, machine learning, and experimentation/causal inference methods
- Experience of data modeling and data pipeline design