Spotify

Trust & Safety

DataScientistII-Trust&Safety

$117–167k New York, New York, United States Permanent Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“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.

Trust & Safety
Problems you'll solve

scoping ambiguous problems; prioritizing them in a fast-moving environment; understand how risks emerge from system design

Eligibility Requirements

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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