Data Scientist II, Trust & Safety
$117k - $167kSpotify AB
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 methods, including LLM-based evaluation approaches, behavioral instrumentation, and measurement frameworks in collaboration with data scientists and engineers You will work closely with product managers, designers, engineers, policy specialists, researchers, and other data scientists. Your work will help inform decisions that often involve senior leadership. Who You Are You have 3+ years of experience leading data science or research projects with a focus on safety, integrity, responsible AI, fairness, or a related domain You are experienced with SQL and Python and are comfortable working across quantitative and qualitative evidence You have hands‑on familiarity with modern AI and machine learning systems, including recommendation systems and large language models, and understand how risks emerge from system design You are comfortable scoping ambiguous problems, including early‑stage or zero‑to‑one research areas, and prioritizing them in a fast‑moving environment You communicate clearly with both technical and non‑technical audiences, including explaining methodological choices to policy partners and leadership You care about turning research into practice and are comfortable making concrete, evidence‑based recommendations You bring a thoughtful perspective on responsible product innovation and how to measure and improve platform safety Where You’ll Be This role is based in New York or Boston We offer you the flexibility to work where you work best! There will be some in‑person meetings, but still allows for flexibility to work from home This team operates within the Eastern Standard time zone for collaboration Learn about life at Spotify The United States base range for this position is $117,000 – $167,000 USD, plus equity. The benefits available for this position include health insurance, six‑month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future. Extensive learning opportunities, through our dedicated team, GreenHouse. Flexible share incentives letting you choose how you share in our success. Global parental leave, six months off - for all new parents. All The Feels, our employee assistance program and self‑care hub. Flexible public holidays, swap days off according to your values and beliefs. #J-18808-Ljbffr Spotify AB
$117k - $167k
Creandum is looking for a Data Scientist II in New York or Boston to lead safety research projects for Spotify's Product Trust Insights. You will evaluate product safety, translate complex findings into clear recommendations, and partner with various teams to ensure user...Suggested$117k - $167k
Spotify AB is looking for a Data Scientist II to join Product Trust Insights. You will lead research projects evaluating the safety of features and ensure product launches reflect user safety needs. The role requires strong expertise in data science, SQL, and Python, with...SuggestedWork from homeFlexible hours$180k - $205k
Principal Data Scientist page is loaded## Principal Data Scientistlocations: Remote USAtime type: Full timeposted on: Posted 7 Days Agojob... ...to prioritize their cybersecurity investments, build greater trust within their ecosystem, and reduce their chances of financial...SuggestedFull timeRemote workFlexible hours$130k - $150k
Senior Software Engineer- Core Data Team page is loaded## Senior Software Engineer- Core Data Teamlocations: Remote USAtime type: Full... ...to prioritize their cybersecurity investments, build greater trust within their ecosystem, and reduce their chances of financial loss...SuggestedFull timeRemote workFlexible hours- ...operates within the Global Quality, Safety, Sustainability and Regulatory... ...organization and provides data, analytics, insights, and data... ...is responsible for delivering trusted reporting, interactive... ...We are seeking a Lead Data Scientist to drive advanced analytics and...SuggestedLocal areaWorldwide
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...cybersecurity company is seeking a Senior Software Engineer for the Core Data Team. The role involves optimizing data processing and... ...like Airflow, AWS, and Python. The position promotes a culture of trust and accountability, and offers a competitive benefits package...Remote job- InnoGames GmbH, located in Hamburg, is offering a part-time Master's program in Big Data Engineering, starting in September/October 2026. This unique opportunity allows students to merge studies with practical experience while receiving a monthly gross salary of €2,410...Part timeWork at office
€2,410 per month
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$150k - $250k
TenOneTen is seeking an Engineering Manager for the Data Platform to lead a talented team and design resilient data infrastructure in a remote-first environment. In this role, you will ensure data quality while facilitating collaboration across product and data science...Remote job- ...into scalable, reliable production systems Architect training, inference, and evaluation pipelines for structured and unstructured data Own model performance, reliability, scalability, and lifecycle management Drive experimentation, model iteration, and...Local areaImmediate startRelocation package
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...solutions that tell stories about our content and our users Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in...Flexible hours$138.25k - $197.5k
A leading audio streaming service is seeking a Machine Learning Engineer to develop storytelling capabilities that enhance user experience. You will design and implement LLM-based solutions, collaborate with diverse teams, and contribute to innovative features for millions...- Mindpeak is seeking an AI driven (Senior) Backend Developer in Town of Hamburg, NY. This role involves building and scaling backend services for AI models in digital pathology. Candidates should have 3-5 years of backend development experience with Python and Docker, alongside...
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...tools for the Architecture, Engineering, and Construction (AEC) industry. This hybrid role involves building a diverse team, ensuring data privacy, and enhancing product quality through innovative AI solutions. Candidates should have an MS in a relevant field and...
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