Job Summary
A company is looking for a Staff Data Scientist to join their Risk Analytics Modeling Team.
Key Responsibilities
- Develop quantitative and machine learning models to forecast product losses
- Aggregate and synthesize datasets from multiple data environments
- Analyze complex datasets to understand performance and drivers for losses across various products
Required Qualifications
- 6+ years of loss forecasting experience with a Master's or PhD in a quantitative field
- Proficient in Python, SQL, and Tableau
- Experienced in model development and data analysis
- Excellent knowledge of data science, statistical methodologies, and machine learning models
- Hands-on knowledge of common loss forecasting methodologies
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