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 for customers.
Role type
Staff Data Scientist (Trust and Safety)
Builds
Production ML systems for fraud and abuse detection, security feature analysis, and compliance frameworks.
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, project management, technical leadership
Preferred skills
SaaS product misuse detection, compliance frameworks
Technologies
Spark, Python, SQL
Responsibilities
Develop and implement ML models to detect anomalous activity; analyze performance and pricing of security-related features; collaborate with security engineers to build protective systems; create solutions to meet compliance requirements; define project OKRs and communicate progress; guide junior data scientists and interns; represent the data science discipline organization-wide; present at academic and industrial conferences.
Seniority
Staff, hands-on IC with mentorship
