Data Science Manager - Fraud
Core
Lead a team of data scientists to drive customer-facing fraud analytics, product performance measurement, and scalable fraud product capabilities.
Role type
Senior IC Data Science Manager (Fraud & Product Analytics)
Builds
Fraud detection products, customer intelligence dashboards, and scalable analytics solutions for Plaid's fraud portfolio.
Domain
Fintech / Fraud Detection / Product Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Team leadership and mentorship, fraud domain expertise, product analytics and metric design, Python, SQL, statistics, applied modeling, cross-functional collaboration
Preferred skills
Graph-based data analysis, causal inference, model interpretability, dbt
Technologies
Python, SQL, dbt
Responsibilities
Set 6–12 month roadmap with Product, Engineering, and GTM; define product metrics and reporting practices; establish processes for customer retrospectives and proofs of concept; identify recurring fraud signals and product opportunities; review analytical designs and code; coach data scientists on performance and growth.
Seniority
Senior, hands-on IC with team leadership
