Staff Data Scientist

Mercury
San Francisco, New York
Workplace: RemoteFull timeUSD 239,000 - 298,800 annuallyFunction: Data Science & Machine LearningExperience: 7+ yearsSkills: ["Leadership","Collaboration","Strategic alignment"]

Build, validate, and deploy real-time machine learning models to detect and prevent fraud for first- and third-party risk. Improve model reproducibility and robustness through documentation, testing, and monitoring, while ensuring high-quality data across pipelines. Partner with Risk Strategy and Engineering to define model inputs, optimize deployment and observability, and lead best-practice prototyping that elevates the team.

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FursaFursa
Mercury
Mercury
6 days ago

Staff Data Scientist

✓ Verified Job

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 real-time machine learning models to detect and prevent fraud for first- and third-party risk. Improve model reproducibility and robustness through documentation, testing, and monitoring, while ensuring high-quality data across pipelines. Partner with Risk Strategy and Engineering to define model inputs, optimize deployment and observability, and lead best-practice prototyping that elevates the team.
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.
  • •Ensure model reproducibility and robustness through documentation, testing, and monitoring.
  • •Maintain data quality and reliability across pipelines and tools.
  • •Collaborate with Risk Strategy and Engineering to ideate model inputs and optimize deployment and observability.
  • •Prototype, iterate, and codify best practices while up-leveling the rest of the team.

Pay and Benefits

Salary: USD 239,000 - 298,800 annually
Perks:EquityRsus

Key Requirements

  • •7+ years analyzing large datasets, including 5+ years of ML experience to drive real impact.
  • •Proficiency in SQL to understand and manage imperfect data.
  • •Proficiency in Python with experience in statistical modeling and machine learning.
  • •Experience deploying and monitoring machine learning models in production.
  • •Ability to lead and empower others, driving strategic alignment across teams with different roadmaps.
Experience:7+ years
Skills:LeadershipCollaborationStrategic alignment
Languages:English
Tech Stack:SQLPythonDbtLLMsGenAI

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