Senior Data Scientist - Fraud (Hybrid)
Tasks
- Apply AI in production fraud prevention
- Build pattern recognition pipelines
- Communicate findings to cross functional partners
- Deploy and monitor fraud models
- Develop models for fraud detection
- Mentor and develop team members
- Partner with fraud operations to improve detection loop
- Perform ad hoc fraud analysis
- Query large datasets with SQL
- Refine features to reduce false positives and false negatives
- Support underwriting and verification improvements
- Write Python programs for data analysis
Perks/Benefits
- 401k matching
- Dental insurance
- Health insurance
- Hybrid schedule
- Mental health benefits
- PTO
- Paid Holidays
- Paid parental leave
- Paid volunteer day
- Sabbatical program
- Summer hours
- Vision insurance
- Voluntary Recognition Program
Skills/Tech-stack
AI | Data Analysis | Feature Engineering | Fraud Detection | Machine Learning | Model Monitoring | Pattern Recognition | Predictive Modeling | Python | Risk Modeling | SQL | Underwriting
Education
N/A
Roles
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