Senior Data Scientist

Mercury
San Francisco, New York
Workplace: RemoteFull timeUSD 166,600 - 250,900 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: []

Build, validate, and deploy machine learning models that detect, prevent, and monitor first- and third-party fraud in real time. Strengthen model reproducibility and reliability through documentation, testing, and monitoring, while ensuring data quality across pipelines and tools. Partner with Risk Strategy to define model inputs and applications, and collaborate with Engineering to improve deployment and observability to protect customers and the financial system.

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FursaFursa
Mercury
Mercury
6 days ago

Senior Data Scientist

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Build, validate, and deploy machine learning models that detect, prevent, and monitor first- and third-party fraud in real time. Strengthen model reproducibility and reliability through documentation, testing, and monitoring, while ensuring data quality across pipelines and tools. Partner with Risk Strategy to define model inputs and applications, and collaborate with Engineering to improve deployment and observability to protect customers and the financial system.
Location: San Francisco, New York
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build, validate, and deploy machine learning models to identify and prevent fraud in real time.
  • •Support model reproducibility and robustness via documentation, testing, and monitoring.
  • •Ensure data quality and reliability across pipelines and tools.
  • •Collaborate with Risk Strategy to ideate model inputs and applications.
  • •Work with Engineering to optimize deployment and observability.

Pay and Benefits

Salary: USD 166,600 - 250,900 annually
Equity and Bonus:Equity

Key Requirements

  • •5+ years analyzing large datasets to solve problems and drive impact, with 3+ years of machine learning experience.
  • •Proficiency in SQL to understand and manage imperfect data.
  • •Proficiency in Python with statistical modeling and machine learning experience.
  • •Experience deploying and monitoring machine learning models in production.
  • •Comfort working in a fast-paced environment with evolving priorities.
Experience:5+ yearsFraud detectionRiskFintech
Languages:English
Tech Stack:SQLPythonLLMsGenAIDbtETL

Company Brief

Mercury
Provides banking and financial infrastructure for startups and small businesses, offering business checking accounts, payments, debit cards, venture debt integrations, and treasury services via a developer-friendly platform.
Industry: Fintech Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2017
WebsiteLinkedIn