Principal Data Scientist, Detection
Core
Lead research, design, and evaluation of detection models to identify automated, fraudulent, and malicious activity across Internet-scale data.
Role type
Principal Data Scientist (Detection & Fraud)
Builds
Advanced detection systems and machine learning models operating at scale
Domain
Cybersecurity, Internet-scale fraud and bot detection
Deliverable
production ML models
Required skills
Applied statistics, machine learning, AI methodology, Python, SQL, large-scale data handling, ambiguous ground truth management, high-stakes technical decision making
Preferred skills
Fraud/bot detection experience, weak label learning, adversarial robustness, pragmatic complexity reduction, disciplined code practices
Technologies
Python, SQL
Responsibilities
Lead research, design, and evaluate detection models; Mentor others in uncovering adversary patterns; Own detection measurement framework; Drive adoption of AI/ML techniques; Drive cross-functional partnerships; Shape long-term detection strategy
Seniority
Principal, strategy & mentorship
