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Data Scientist - Fraud

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Plaid

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Location:
United States, San Francisco

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Category:
IT - Software Development

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Contract Type:
Not provided

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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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