Staff Data Scientist - Trust and Safety
Core
Develop and implement Machine Learning models to detect anomalous activity, fraud, and abuse on the Databricks platform to ensure security and compliance.
Role type
Staff Data Scientist (Trust and Safety)
Builds
Production ML systems for fraud and abuse detection, security compliance frameworks, and anomaly detection tools.
Domain
Cloud data platform security, compliance, and fraud detection
Deliverable
production ML models
Required skills
Machine Learning, statistical analysis, SQL, Python, distributed data processing (Spark), software engineering practices, cross-functional collaboration, technical leadership
Preferred skills
SaaS product misuse detection, compliance program experience
Technologies
Spark, Python, SQL
Responsibilities
Develop ML models for anomaly detection, analyze security feature performance and pricing, collaborate with security engineers to build protection systems, create compliance frameworks, define project OKRs and milestones, guide junior data scientists, represent the data science discipline organization-wide, present at academic and industrial conferences
Seniority
Staff, hands-on IC with mentorship
