kadence · 21 hours ago
Lead Data Scientist
United States
Full-time
Remote
Senior Level, Lead/Staff
7+ years expKadence is a Series B fintech 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 also designing anomaly detection systems and developing behavioral models.
Staffing & Recruiting
Responsibilities
Building and deploying real-time ML models for fraud detection and risk assessment
Designing anomaly detection systems to identify emerging fraud patterns
Developing behavioral models across multiple data sources and signals
Partnering closely with engineering to productionise models at scale (monitoring, iteration, reliability)
Working with external stakeholders to understand evolving threat landscapes and requirements
Owning technical decisions and being able to clearly defend modelling approaches in high-impact environments
Qualification
Required
7+ 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 science
Experience deploying and monitoring models in production environments
Strong Python + SQL foundations (modern ML tooling experience expected)
Ability to communicate clearly with both technical and non-technical stakeholders
Comfortable operating in fast-paced environments where the work has direct customer and business impact
Preferred
Fintech or financial services exposure is ideal
Graph ML, time series modelling, ensemble methods, or sequential behaviour modelling experience
Familiarity with regulated environments and risk constraints
Track record of improving model performance post-deployment
Company
kadence
Kadence - We place elite AI talent at the intersection of science & engineering, from PHD to Executive.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase