Staff Data Scientist

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

Signifyd helps businesses of all sizes minimize their fraud exposure and grow their sales. Signifyd improves the e-commerce shopping experience for everyone by reducing the number of false positive declines of good buyers and by making fraud less profitable for criminals. The Data Science organization at Signifyd is responsible for building, maintaining, and monitoring production ML models and risk management tools that are the core of Signifyd's product. The Staff Data Scientist will be part of the Core ML team within the Data Science organization. The team owns the core fraud detection model that decides the majority of the traffic, as well as our model training and evaluation infrastructure. We work closely with the ML and Data Platform teams. The team contributes to: novel modeling methods, advanced feature engineering, and robust statistical practices for offline and online evaluation.

Requirements

• Not specified

Responsibilities

• Expand ML Capabilities: Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability.
• Drive Experimentation at Scale: Develop and implement robust experimentation frameworks to increase velocity while maintaining scientific rigor, enabling rapid iteration and deployment of fraud detection models.
• Architect & Optimize ML Pipelines: Design and build scalable, end-to-end ML pipelines that support both offline and online measurement of model performance, ensuring our models deliver real-world impact.
• Build Influence Across Teams: Collaborate closely with engineering, product, and risk teams to align ML architecture and experimentation with business goals, driving measurable outcomes.
• Lead & Mentor: Lead solving the technical concerns for the entire organization and elevate the technical bar by mentoring data scientists and engineers, sharing best practices, and fostering a culture of innovation and excellence in ML practices.

Company Information

Signifyd values tenacity, curiosity, and a hunger for learning. Our adversaries are highly motivated fraudsters who are looking to exploit any gap that we may leave uncovered. We seek equally motivated – if not more motivated – individuals who are passionate about keeping our customers safe while pulling the field of adversarial machine learning forward. We empower team members to influence our direction and actively enhance the e-commerce shopping experience.