Data Scientist - Fraud Jobs

Data Scientist - Fraud

Plaid

Location:
United States, San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

162000.00 - 222000.00 USD / Year

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Job Description:

The Data team within Plaid’s Fraud organization builds the machine learning systems that power Plaid’s newest fraud detection products, leveraging the breadth of Plaid’s network data to stop fraud before it occurs. We manage the full lifecycle of these systems—from feature pipeline development and model training to deployment, serving, and monitoring—ensuring our solutions scale reliably as we grow to support hundreds of customers.

Job Responsibility:

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
analyze 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

Requirements:

3–5 years of total experience
at least 2–3 years working deeply with product analytics, 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

Nice to have:

Background in fraud or risk domains
familiarity with data-insights products and a solid understanding of model-performance metrics
exposure to customer-facing or GTM-facing analytics

What we offer:

medical
dental
vision
401(k)
equity
commission

Additional Information:

Job Posted:
December 11, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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