The ad says“Hands-on experience with product analytics, experimentation, and/or backtesting methodologies”
The ad says“Experience building and maintaining dashboards, reporting frameworks, and core product metrics”
The ad says“3–5 years of relevant experience, including at least 2–3 years working extensively with product analytics, experimentation, or data-driven products”
The ad says“Experience in fraud/risk domains”
The ad says“Experience with developing ML models”
The ad says“3–5 years of relevant experience, including at least 2–3 years working extensively with product analytics, experimentation, or data-driven products”
The ad says“Strong proficiency in SQL and Python, with experience analyzing complex datasets and translating insights into action”
The ad says“Strong proficiency in SQL and Python, with experience analyzing complex datasets and translating insights into action”
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
Preferred experience
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!
