Senior / Staff Data Scientist, Trust & Safety

About the role

Trust should be the foundation of every relationship Suno has — with our users, our artists, our rightsholders, and the broader music community. We're looking for our first dedicated data scientist on the Trust & Safety team to help make that real by building the metrics and analysis that let us measure how we're doing, and collaborating to define and execute on an impactful roadmap.

Responsibilities

• Define and evaluate metrics for the health of our trust and safety ecosystem
• Analyze and build models, algorithms, and methodologies for maintaining a safe platform, like bot detection, content filtering, copyright detection, etc.
• Design and run experiments that measure the real impact of changes to Trust & Safety practices, and turn results into clear recommendations
• Partner with product and engineering to size opportunities and shape the Trust & Safety roadmap
• Contribute to building strong data foundations as part of our awesome data science team

Requirements

• 6–8 years of experience in data science or a closely related analytical field, with several years in trust & safety or closely adjacent problems (e.g., spam/fraud, integrity, policy-adjacent ML)
• Strong hands-on SQL and Python
• Experience running online experiments end-to-end, from ideation and metrics selection through analysis and informing the final decision
• Experience building metrics or evaluation frameworks from scratch, without established precedent to lean on

Nice to have

• Experience training and building predictive ML models, offline and real-time
• Musical background or creative hobbyist