Data Scientist (Fraud)

• We are the Data team within Plaid’s Fraud organization
• We build the machine learning systems that power Plaid’s fraud detection products, leveraging Plaid’s network data to help identify and prevent fraud before it happens
• Our team owns the end-to-end ML lifecycle, from feature pipelines and model training to production serving and monitoring, ensuring our systems are reliable, scalable, and built to support hundreds of customers and data partners
• As a Data Scientist on the Fraud Data team, you will analyze customer and network traffic to understand how Plaid Protect performs across a range of use cases and customer segments
• You’ll build dashboards and metrics that provide a clear, shared view of product performance, run backtests to evaluate performance and identify high-impact rules and model strategies, and generate insights that support customer growth and expansion
• You’ll also design scalable data models and schemas to enable reliable analysis and reporting, while partnering closely with Product and Engineering to design and analyze experiments for new customer-facing features
• Work at the intersection of product analytics, machine learning, and fraud and risk to uncover insights that improve product performance
• Own the metrics, dashboards, and experiments that inform product strategy and decision-making

Benefits

• Vibrant offices in SF, NYC, and Raleigh-Durham—with catered meals, happy hours, and clubs to keep you connected
• Competitive pay, comprehensive health benefits, and support for fertility, mental health, and parental leave
• Lifestyle perks including home office stipends, daycare support, and commuting benefits like CitiBike and Lyft- 3–5 years of relevant experience, including at least 2–3 years working extensively with product analytics, experimentation, or data-driven products
• Hands-on experience with product analytics, experimentation, and/or backtesting methodologies
• Strong proficiency in SQL and Python, with experience analyzing complex datasets and translating insights into action
• Strong communication and stakeholder management skills, with the ability to translate complex analyses into clear, actionable insights for technical and non-technical audiences
• Experience building and maintaining dashboards, reporting frameworks, and core product metrics
• We encourage you to apply to a role even if your experience doesn’t fully match the job description. We are always looking for team members that will bring something unique to Plaid!
• Experience with developing ML models
• Experience in fraud/risk domains