Senior Data Scientist - Fraud

We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products.

As a Senior Data Scientist on Plaid's Fraud Data team, you will analyse customer and network traffic to understand how Protect performs across different segments and use cases. You'll build dashboards and performance metrics that create a clear, shared view of product health for both the team and our go-to-market partners.

Responsibilities:

• Work at the intersection of product analytics, machine learning, and fraud/risk to drive meaningful product improvements.
• Own the metrics, dashboards, and experimentation frameworks that inform product strategy and decision-making.
• Analyse complex datasets to uncover clear, actionable insights that shape product direction.
• Partner with go-to-market teams to demonstrate the technical and business value of our products to customers.

Qualifications:

• 5+ years of total experience, including at least 2–3 years working deeply with product analytics, machine learning. experimentation, or data-driven products.
• Strong proficiency in SQL and Python.
• Hands-on experience with product analytics, experimentation frameworks, or backtesting methodologies.
• Skilled in designing, building, and maintaining dashboards and core product performance metrics.
• Capable of designing and interpreting backtests or offline evaluations for ML and rules-based systems.
• Excellent communicator with strong stakeholder-management skills across diverse teams.
• Background in fraud or risk domains , Nice to have.
• Familiarity with data-insights products and a solid understanding of model-performance metrics , Nice to have.
• Exposure to customer-facing or GTM-facing analytics , Nice to have.