Lead Analytics Engineer — Payments, Identity & Trust and Safety
Core
Define canonical data models and KPIs for payments, identity, and trust & safety to ensure data reliability for AI agents and business decisions across Scribd's products.
Role type
Senior IC analytics engineer (payments, identity, trust & safety)
Builds
Canonical data models, semantic layers, and AI tools for payments and trust & safety
Domain
Fintech, digital content, and platform security
Deliverable
production ML models
Required skills
Payments data modeling, Identity data modeling, Semantic layer design, Data lineage & observability, SQL, Databricks, AWS, Looker, Airbyte, Fivetran, AI data pipelines
Preferred skills
Python, LLM-based pipelines, Trust & safety metrics, Local payment methods compliance, Incident response
Technologies
Databricks, AWS, Looker, Airbyte, Fivetran, Stripe, Adyen, Braintree, PayPal
Responsibilities
Own canonical data models for payments, billing, and subscriptions; Own KPI and semantic layer for payments and identity; Extend discipline to Trust & Safety metrics; Drive quality, observability, and lineage; Build AI tools on trusted foundations; Mentor analysts and analytics engineers
Seniority
Senior, hands-on IC
