Data Scientist Fraud
Plaid is a financial data network and fintech infrastructure company that helps people securely connect financial accounts to digital financial services.
Maintainer signals as of 9/2/2026
Funding history
Projects
About Plaid Inc.
Plaid provides developer infrastructure and financial tools for account connectivity, financial data access, bank payments, identity verification, AML monitoring, credit and underwriting, and fraud prevention. Its network supports thousands of fintech companies and more than 12,000 financial institutions across the United States, Canada, the United Kingdom, and Europe.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will analyze customer and network traffic to assess product performance across use cases and segments. You will build dashboards and metrics, run backtests, identify rules and model strategies, design data models and schemas, and partner on experiments for customer-facing features.
Requirements
- 3–5 years of relevant experience.
- 2–3 years working extensively with product analytics, experimentation, or data-driven products.
- Proficiency in SQL and Python.
- Experience analyzing complex datasets and translating insights into action.
- Experience with product analytics, experimentation, or backtesting methodologies.
- Experience building and maintaining dashboards, reporting frameworks, and core product metrics.
- Communication and stakeholder management skills.
Responsibilities
- Analyze customer and network traffic to understand product performance.
- Build dashboards and metrics for product performance.
- Run backtests to evaluate performance and identify rules and model strategies.
- Generate insights that support customer growth and expansion.
- Design scalable data models and schemas for analysis and reporting.
- Partner with Product and Engineering to design and analyze experiments.
- Own metrics, dashboards, and experiments that inform product strategy and decision-making.
Benefits
- Equity and/or commission
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)