Trust & Safety Data Scientist for AI Music Platform

AI Chopping Block; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity

401(k) Matching

Health Insurance

Paid Holidays

Parental Leave

Education Stipend

Commuter Allowance

In-Office Lunch

Job summary

Suno is seeking a data scientist for the Trust & Safety team to build metrics and analyses that measure our platform's health and safety posture. You will partner with product, engineering, and legal to apply quantitative methods to copyright detection, content filtering, and bot detection.

You’ll design experiments, size opportunities, and contribute to a robust data foundation with our growing data science team.

Qualifications

• 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
• Experience training and building predictive ML models, offline and real-time

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

Skills

SQL

Python

A/B testing

Metrics design

Job description

Suno is seeking a data scientist for the Trust & Safety team to build metrics and analyses that measure our platform's health and safety posture. You will partner with product, engineering, and legal to apply quantitative methods to copyright detection, content filtering, and bot detection.

You’ll design experiments, size opportunities, and contribute to a robust data foundation with our growing data science team.