Data Scientist

As a Data Scientist on our team, you’ll play a key role in helping customers stay ahead of evolving fraud threats by designing and deploying data-driven solutions with real-world impact. You’ll work directly with clients to understand their unique fraud challenges, rapidly prototype proof-of-concept models, and build scalable, production-ready solutions using machine learning and graph analytics. You’ll also help standardize modeling workflows and collaborate with engineering to streamline backend systems. This is a hands-on, high-impact role ideal for someone who thrives at the intersection of data science, client-facing problem solving, and real-time risk. You will champion a data-first approach across internal teams and client engagements, promoting clarity and impact. You will also evolve our risk metrics, the supporting datasets, and how we measure the causal impact of initiatives. You will build and deploy machine learning models to prevent fraud across diverse fintech use cases, use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience, and collaborate with engineering to scale models into production and optimize performance.