…Ensure the completeness, accuracy, and end-to-end reliability of critical data pipelines and inputs feeding our compliance models, mitigating systemic risks and safeguarding…

…Provide technical and domain leadership in Identity & Product Safety Become a go-to partner for senior engineers, data scientists, and PMs on how identity…

…distinguish genuine risk reduction from friction that slows users down. ABOUT THE ROLE We are looking for a senior data scientist to help define…

…engagement, forecasting, experimentation, and business strategy. They are comfortable navigating ambiguity, influencing senior stakeholders, and translating complex data into actionable business decisions. Microsoft’s…

…You'll work shoulder-to-shoulder with data engineers, data scientists, and BI/analytics teams to bring that vision to life. You will also…

Build AI/ML solutions that strengthen audit risk identification and control testing through advanced analytics. Join our Audit Data Strategy Team as a Data…

…set crisp, outcome-oriented priorities. - Aligning and influencing senior stakeholders across Product, Engineering, Design, Risk, Finance, Operations, Marketing, and Partnerships. - Ensuring execution excellence at…

…This data scientist will perform careful hypothesis generation, causal inference framework development, and model development/evaluation to ideate and drive payment strategies on our…

…code reviews, testing strategy, and sound architectural decisions. - Manage dependencies and communicate status, risks, and trade-offs to stakeholders and senior leadership. - Foster an…

…be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on…

…the unique needs of the business Provide data-driven insights and recommendations on org health, attrition risk, engagement, and team effectiveness Partner with Finance…

…rule engines, ML-based anomaly detection, and risk scoring pipelines - Architect real-time and batch data processing systems to aggregate fraud signals across multiple…

…growth drivers, and anticipate business risks that need to be surfaced to leadership. As a Principal Data Scientist, you will be the technical thought…

…and make data-driven decisions that impact company objectives and long-term strategy. Proactive foresight in roadmapping and managing high-risk data science programs…

…financial and reputational risk. The Senior Analyst will take ownership over multiple discrete fraud segments to develop and execute a strategy which addresses fraud…

…This includes discovery with executives, proving ROI and value, and partnering with CSMs who manage risk and adoption at the end-user level. You…

…You'll lead our embedded analytics organization, including analysts and data scientists aligned to growth, product, markets, finance, risk, and institutional, ensuring every team…

…ABOUT THE ROLE Polymarket is looking for a Sr Data Scientist / Analyst, Fraud & Risk to proactively prevent and detect potential fraud and abuse on…

…decarbonization mechanisms, and establish benchmarks for automated validation and risk assessment. As a Research Scientist, you will be responsible for independently leading assessments of…

…Your proactive inquisitiveness, supported by your data dexterity, means you lead first-of-its-kind analyses and mentor the data scientists around you to…

…Product, Engineering, and Design — helping shape strategy, not just measure it. You’ll proactively identify opportunities and risks, framing the right questions before they…

…Make technical and program decisions with incomplete information, proactively identify opportunities and manage risks, providing data-driven recommendations to stakeholders. Champion and cultivate reusable…

…About the role We're looking for a data-driven professional to help us measure, understand, and improve the performance of our risk strategies…

…risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data…

…matter expertise to evaluate trends in risks and optimize mitigation strategies across projects for high-impact risk scenarios using qualitative analyses (e.g., probability…