Data Scientist - Fraud

The role

You will analyze customer and network traffic to understand Plaid Protect performance. You will build dashboards, run backtests, and design scalable data models to support product strategy and customer growth.

What you will do

• 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.
• Analyze customer and network traffic to understand how Plaid Protect performs.
• 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.
• Generate insights that support customer growth and expansion.
• Design scalable data models and schemas to enable reliable analysis and reporting.
• Partner with Product and Engineering to design and analyze experiments for new customer-facing features.

Required qualifications

• 3–5 years of relevant experience
• At least 2–3 years working extensively with product analytics, experimentation, or data-driven products
• Strong proficiency in SQL and Python
• Experience analyzing complex datasets and translating insights into action
• Hands-on experience with product analytics, experimentation, and/or backtesting methodologies
• Experience building and maintaining dashboards, reporting frameworks, and core product metrics
• Strong communication and stakeholder management skills

Nice to have

• Experience in fraud/risk domains
• Experience with developing ML models

Benefits

• Medical
• Dental
• Vision
• 401(k)

About the company

Plaid builds tools and experiences that thousands of developers use to create products. The company's network covers 12,000 financial institutions across the US, Canada, UK and Europe.