Data Scientist - Fraud
Core
Analyze customer and network traffic to evaluate Plaid Protect performance, build dashboards/metrics, run backtests, and design data models to support fraud detection strategy.
Role type
Data Scientist (Product Analytics & Fraud)
Builds
Dashboards, metrics frameworks, backtesting pipelines, and scalable data models for fraud detection products.
Domain
Fintech / Fraud Detection / Product Analytics
Deliverable
dashboards & analysis
Required skills
SQL, Python, product analytics, experimentation, backtesting, data modeling, reporting frameworks
Preferred skills
fraud/risk domain experience, ML model development
Responsibilities
Analyze customer and network traffic to understand product performance; Own metrics, dashboards, and experiments informing product strategy; Design scalable data models and schemas for reliable analysis; Partner with Product and Engineering on experiment design for new features.
Seniority
Mid-level, hands-on IC
