Data Scientist II
Core
Build production ML models and risk management tools to assess transaction risk, minimize fraud exposure, and improve e-commerce shopping experiences for merchants.
Role type
Senior IC machine-learning engineer (fraud/risk)
Builds
Production ML models, risk decisioning tools, and automation for fraud prevention
Domain
E-commerce, fraud detection, payments
Deliverable
production ML models
Required skills
Python, SQL, machine learning, statistical analysis, distributed data pipelines, experiment design, code review
Preferred skills
Fraud domain knowledge, A/B testing in production, AI coding agents, advanced degree
Technologies
Python, Spark, Databricks, GCP
Responsibilities
Partner with business units to identify decisioning gaps and implement solutions; build or utilize production ML models for fraud identification; develop automation to reduce manual work; run experiments to optimize decisioning strategies; write production and offline analytical code; work with distributed data pipelines.
Seniority
Mid-level, hands-on IC
