[Remote] Lead Data Scientist

Note: The job is a remote job and is open to candidates in USA. Kadence is a Series B fintech company focused on advanced fraud detection and financial risk systems. They are seeking a Lead Data Scientist to build and deploy real-time machine learning models for fraud detection and risk assessment, while collaborating with engineering teams and external stakeholders to address evolving threats.ResponsibilitiesBuilding and deploying real-time ML models for fraud detection and risk assessmentDesigning anomaly detection systems to identify emerging fraud patternsDeveloping behavioral models across multiple data sources and signalsPartnering closely with engineering to productionise models at scale (monitoring, iteration, reliability)Working with external stakeholders to understand evolving threat landscapes and requirementsOwning technical decisions and being able to clearly defend modelling approaches in high-impact environmentsSkills7+ years of hands-on data science experience (openings range from mid-level through staff)Strong background in fraud detection, risk modelling, identity, or security-focused data scienceExperience deploying and monitoring models in production environmentsStrong Python + SQL foundations (modern ML tooling experience expected)Ability to communicate clearly with both technical and non-technical stakeholdersComfortable operating in fast-paced environments where the work has direct customer and business impactFintech or financial services exposure is idealGraph ML, time series modelling, ensemble methods, or sequential behaviour modelling experienceFamiliarity with regulated environments and risk constraintsTrack record of improving model performance post-deploymentCompany OverviewKadence - We place elite AI talent at the intersection of science & engineering, from PHD to Executive. It was founded in undefined, and is headquartered in New York, , US, with a workforce of 2-10 employees. Its website is https://kadencetalent.com/.