Senior Data Scientist, Fraud & Risk

RevenueCat
Americas, United States
Workplace: RemoteFull timeUSD 220,000 - 220,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Ownership","Analytical thinking","Technical aptitude","Systems thinking","Decision-making"]

Build and scale underwriting and fraud detection for RC Capital as the founding Data Scientist. Own the Data Science strategy end to end: develop models for lead qualification, anomaly detection, fraud prevention, and credit underwriting using real-time cross-platform revenue data. Partner with Product and Engineering to integrate risk signals into customer flows and decisioning systems, measure impact through model performance, and help define the long-term roadmap for new fintech lines.

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RevenueCat
RevenueCat
1 month ago

Senior Data Scientist, Fraud & Risk

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Build and scale underwriting and fraud detection for RC Capital as the founding Data Scientist. Own the Data Science strategy end to end: develop models for lead qualification, anomaly detection, fraud prevention, and credit underwriting using real-time cross-platform revenue data. Partner with Product and Engineering to integrate risk signals into customer flows and decisioning systems, measure impact through model performance, and help define the long-term roadmap for new fintech lines.
Location: Americas, United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own the Data Science strategy for RC Capital, defining models, signals, and the approach for underwriting and fraud detection.
  • •Develop models for lead qualification, anomaly detection, fraud prevention, and credit underwriting using real-time revenue data.
  • •Partner with Product and Engineering to integrate risk signals and underwriting logic into customer-facing flows and decisioning engines.
  • •Analyze cross-platform revenue data to generate insights that improve underwriting models and product design.
  • •Build mechanisms to measure impact, evaluate model performance, and drive prioritization of new data initiatives.

Pay and Benefits

Salary: USD 220,000 annually
Perks:Remote WorkLearning BudgetPaid Leave

Key Requirements

  • •5+ years of data science experience, ideally with a background in fintech, credit, lending, or payments.
  • •Deep expertise in fraud and/or underwriting, including building models that balance risk and growth.
  • •Expert in SQL and Python; able to build, deploy, and monitor models in production.
  • •Experience with mobile apps or developer ecosystems, or a strong desire to learn how apps earn money at scale.
  • •Comfort operating as an owner in ambiguity and making low-information, high-stakes decisions.
Experience:5+ yearsFintechCreditLendingPayments
Skills:OwnershipAnalytical thinkingTechnical aptitudeSystems thinkingDecision-making
Tech Stack:SQLPython

Company Brief

RevenueCat
Provides a subscription infrastructure platform for mobile and web apps to manage in-app purchases, receipts, analytics, and customer entitlements, simplifying revenue management and integrations across platforms and payment providers.
Industry: Fintech Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Boston, United States
WebsiteLinkedIn