SpotifyNew York, NYThe Data Scientist supports Legal and Finance through analytics, reporting, automation, and self-service data capabilities. The role requires 4+ years of data analytics experience, strong SQL skills, quantitative education, and experience with complex financial or legal datasets.
The Data Scientist will turn large-scale LLM usage data into routing improvements, analytics products, and user-facing features. The role requires 4+ years of data science, applied ML, or quantitative product experience, plus strong SQL, Python, statistical, and AI expertise.
Analytics Manager serving as a hands-on individual contributor, partnering cross-functionally to solve business problems, design experiments, build predictive models, and deliver trusted reporting. Requires 5–7 years of relevant experience, advanced SQL, Python, machine learning, and strong stakeholder communication.
Build and own quantitative risk models, stress testing, default-risk frameworks, and real-time monitoring for a regulated derivatives exchange. The role requires hands-on derivatives risk experience, strong Python skills, exchange-mechanics expertise, and working knowledge of CFTC requirements.
The Data Scientist partners across Product, Sales, and Engineering to analyze usage, improve business decisions, build data pipelines, and deliver actionable dashboards. The role requires 5+ years of data science or product analytics experience, strong SQL and Python skills, and experience with BI tools and cloud infrastructure.
Builds and owns fraud detection and financial-risk models end to end, from data acquisition and feature engineering through production deployment and monitoring. The role requires strong practical machine learning and statistics expertise, production coding experience, and either 4+ years with a relevant master’s degree or 2+ years with a relevant PhD.