Trust and Safety - Senior Data Scientist
Tasks
- Automate workflow pipelines
- Build and extend feature store
- Collaborate with ops and engineering to close feedback loop
- Define labels for fraud and abuse
- Deploy models to production
- Design detection systems
- Implement rules clustering and anomaly detection
- Own model lifecycle end to end
- Perform feature engineering
- Run investigations with AI tools
- Train and evaluate detection models
Perks/Benefits
- Commuter stipend
- Comprehensive health coverage
- Dental coverage
- Generous PTO
- Learning and development stipend
- Retirement benefits
- Vision coverage
Skills/Tech-stack
Abuse detection | Alerting | Anomaly Detection | Clustering | Data Exploration | Data Pipelines | Feature Engineering | Feature Store | Fraud Detection | Google Docs | Google Sheets | Machine Learning | Python | Rule engines | SQL | Semi-Supervised Learning | Semi-supervised | Snowflake | Supervised Learning | Workflow Orchestration
Education
N/A
Roles
Regions
Countries
States
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