Senior Data Analyst (Fraud)
Tasks
- Apply causal inference methods
- Build and scale data products and analytical tools
- Communicate insights and recommendations to stakeholders
- Define metrics and data modeling requirements
- Design and analyze experiments
- Detect incentive abuse and refund claim abuse
- Determine causal impact using experiments
- Drive exploratory analysis and root cause analysis
- Frame ambiguous problems and deliver analytical solutions
- Optimize risk and fraud infrastructure
- Own risk and fraud domain end to end
Perks/Benefits
- Company and team events
- Dental insurance
- Diversity and inclusion
- Free food
- Health insurance
- Learning and development opportunities
Skills/Tech-stack
A/B | A/B Testing | B testing | BigQuery | Causal Inference | DID | Data Modeling | Data Systems | Distributed data | Distributed data systems | Experiment design | Google Colab | NoSQL | Optimization | Outlier Detection | Python | SQL | Simulation | Statistical modeling | Synthetic controls | Vertex AI
Education
Roles
Regions
Countries
States
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