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Staff Risk Data Scientist at Rippling

Location: San Francisco, CA, US

Job Summary:

Job Duties
- Develop data-driven fraud detection strategies
- Analyze fraud patterns and risk trends
- Collaborate across teams (Fraud Risk, Security, Product, Engineering)
- Conduct comprehensive cost-benefit analyses
- Design cross-product fraud monitoring flows
- Enhance ATO detection through data analysis
- Evaluate third-party vendors for transaction monitoring
- Monitor and refine risk strategies

Required Skills (Keywords)
- Data analysis
- Python, R, SQL
- Fraud detection methodologies
- Data-driven decision-making
- Cross-functional collaboration

Required Experiences (Topics)
- 8+ years in data science and analytics
- Expertise in financial technology or SaaS
- Familiarity with machine learning models (nice to have)
- Experience in SaaS or FinTech environments (nice to have)

Job URLs: