Data Scientist
Core
Develop, deploy, and maintain ML models to detect fake reviews and fraudulent activity on a global customer review platform.
Role type
Applied Data Scientist (Fraud Detection)
Builds
Production ML models for review integrity and fraud detection
Domain
E-commerce / SaaS / Trust & Safety
Deliverable
production ML models
Required skills
Graph neural networks, graph algorithms, large language model fine-tuning, adversarial machine learning, high-precision classification, Python, SQL, data engineering, cloud-based ML deployment
Preferred skills
Experience with large label sets of varying quality, behavioral data analysis, GCP ecosystem
Technologies
Google Agent Platform, Google BigQuery, Python, SQL
Responsibilities
Build and fine-tune language models and sequence/graph-based models; Develop and maintain production-ready ML models; Collaborate with cross-functional teams on the Trust roadmap; Influence business strategy through Applied AI advancements
Seniority
Mid-level, hands-on IC
