Signifyd is seeking Staff Data Scientists to join our team and shape the future of our machine learning capabilities. You will expand ML capabilities by identifying, prototyping, and integrating new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability. You'll drive experimentation at scale by developing and implementing robust experimentation frameworks to increase velocity while maintaining scientific rigor, enabling rapid iteration and deployment of fraud detection models. You will also architect and optimize ML pipelines, designing and building scalable, end-to-end ML pipelines that support both offline and online measurement of model performance, ensuring our models deliver real-world impact. Influence across teams by collaborating closely with engineering, product, and risk teams to align ML architecture and experimentation with business goals, driving measurable outcomes, and lead and mentor by solving technical concerns and elevating the technical bar by mentoring data scientists and engineers.