Spotify
Trust & Safety
DataScientistII-Trust&Safety
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist II - Trust & Safety at Spotify. Skills: data science, research, measurement, risk assessment, AI, machine learning systems, large language models, SQL, Python. Lead end-to-end research and measurement projects that evaluate the safety of new and existing features, from scoping through delivery of actionable recommendations. Design and generate data for product risk assessments, stress tests, and evaluation of AI-powered features, including generative and agentic experiences”
What You'll Achieve.
enable R&D teams to confidently expand into new products, markets, and technologies; inform how Spotify designs, launches, and improves features across the platform; help product teams understand where risks concentrate, which user segments are most affected, and which interventions improve outcomes; keep safety upstream of moderation by shaping product design before launch and measuring how features perform once they reach users; ensure product launches reflect user safety needs and support thoughtful, “no regrets” design; inform decisions that often involve senior leadership
Industry & Context.
scoping ambiguous problems; prioritizing them in a fast-moving environment; understand how risks emerge from system design
some in person meetings, operates within the Eastern Standard time zone for collaboration
What They're Looking For.
Must Have
3+ years of experience leading data science or research projects with a focus on safety, integrity, responsible AI, fairness, or a related domain, SQL, Python, comfortable working across quantitative and qualitative evidence, scoping ambiguous problems, prioritizing them in a fast-moving environment
Nice to Have
hands-on familiarity with modern AI and machine learning systems, including recommendation systems and large language models, understand how risks emerge from system design, thoughtful perspective on responsible product innovation and how to measure and improve platform safety
What You'll Do.
Lead end-to-end research and measurement projects that evaluate the safety of new and existing features
from scoping through delivery of actionable recommendations
Design and generate data for product risk assessments
and evaluation of AI-powered features
including generative and agentic experiences
Develop longitudinal trust and safety metrics and use them to evaluate the effectiveness of product interventions over time
Translate complex research findings into clear narratives
and recommendations for product
and leadership audiences
Build and improve evaluation methods
including LLM-based evaluation approaches
behavioral instrumentation
and measurement frameworks in collaboration with data scientists and engineers
How You'll Work.
Team & Collaboration
Partner with product safety specialists, policy advisors, product leads, and engineering counterparts to ensure product launches reflect user safety needs and support thoughtful, “no regrets” design; work closely with product managers, designers, engineers, policy specialists, researchers, and other data scientists
Communication Scope
communicate clearly with both technical and non-technical audiences; explaining methodological choices to policy partners and leadership; Translate complex research findings into clear narratives, tools, and recommendations
Process & Methodology
scoping ambiguous problems, prioritizing them in a fast-moving environment, leading data science or research projects
Full Job Description
## Description The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers. Spotify is seeking a Data Scientist II to join Product Trust Insights (PTI) within Trust & Safety. PTI accelerates Spotify innovation by providing safety research, risk measurement, and evidence-based recommendations that enable R&D teams to confidently expand into new products, markets, and technologies. PTI's research informs how Spotify designs, launches, and improves features across the platform, with a particular focus on AI-powered experiences, recommendations, social and messaging surfaces, and the safety needs of younger users. Our work helps product teams understand where risks concentrate, which user segments are most affected, and which interventions improve outcomes. We aim to keep safety upstream of moderation by shaping product design before launch and measuring how features perform once they reach users. ## What You'll Do Lead end-to-end research and measurement projects that evaluate the safety of new and existing features, from scoping through delivery of actionable recommendations Design and generate data for product risk assessments, stress tests, and evaluation of AI-powered features, including generative and agentic experiences Develop longitudinal trust and safety metrics and use them to evaluate the effectiveness of product interventions over time Translate complex research findings into clear narratives, tools, and recommendations for product, policy, and leadership audiences Partner with product safety specialists, policy advisors, product leads, and engineering counterparts to ensure product launches reflect user safety needs and support thoughtful, “no regrets” design Build and improve evaluation
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