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Data Scientist II – Trust & Safety
SpotifyData Scientist II analyzing safety in AI-powered features at Spotify. Leading research projects within the Trust & Safety team to inform product design decisions.
Posted 5/14/2026full-timeNew York City • Massachusetts, New York • 🇺🇸 United StatesMid-LevelSenior💰 $117,000 - $167,000 per yearWebsite
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Lead end-to-end research and measurement projects that evaluate the safety of new and existing features
- Design data for product risk assessments, stress tests, and evaluation of AI-powered features
- Develop longitudinal trust and safety metrics to evaluate the effectiveness of product interventions
- Translate complex research findings into clear narratives, tools, and recommendations
- Partner with product safety specialists, policy advisors, and engineering counterparts
- Build and improve evaluation methods in collaboration with data scientists and engineers
Requirements
What you’ll need- 3+ years of experience leading data science or research projects with a focus on safety, integrity, responsible AI, fairness, or a related domain
- experienced with SQL and Python
- hands-on familiarity with modern AI and machine learning systems
- comfortable scoping ambiguous problems, prioritizing in a fast-moving environment
- communicate clearly with both technical and non-technical audiences
- care about turning research into practice and making evidence-based recommendations
- thoughtful perspective on responsible product innovation and measuring platform safety
Benefits
Comp & perks- health insurance
- six-month paid parental leave
- 401(k) retirement plan
- monthly meal allowance
- 23 paid days off
- paid flexible holidays
- paid sick leave
ATS Keywords
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Hard Skills & Tools
SQLPythondata sciencemachine learningrisk assessmentevaluation methodslongitudinal metricsAI-powered featuresproduct interventionsdata design
Soft Skills
communicationproblem-solvingprioritizationcollaborationnarrative translationevidence-based recommendationsthoughtful perspectiveadaptabilityleadershipresearch translation