← All roles

Senior Data Scientist - Risk ML

Mercury· Data
Apply on company site
Hybrid (San Francisco, CA), Hybrid (New York, NY), Hybrid (Portland, OR), Remote$166.6k - $250.9kfull-timePosted 1mo ago

About the role

Senior Machine Learning-focused Data Scientist on the Risk team to detect, monitor, and mitigate fraud and financial crime risk, collaborating with product, engineering, and risk to protect customers and the financial system.

Responsibilities

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

Qualifications

  • 5+ years of experience working with and analyzing large datasets to solve problems and drive impact, with 3+ years of ML experience
  • Proficiency in SQL and experience using it to understand and manage imperfect data
  • Proficiency in Python and experience with statistical modeling and machine learning
  • Experience deploying and monitoring machine learning models in production
  • Comfort working in a fast-paced environment with evolving priorities

Skills

Required:SQLPython
Last updated Sep 23, 2026. Interested? Apply on the company site.
Mercury logo

About Mercury

Online Business Banking For Startups & Small Businesses | Financial Workflows

Powerful banking. Simplified finances. Apply in 10 minutes for business banking that transforms how you operate.

bankingfinancial workflowsbusiness bankingmobile bankingcorporate cardscredit cardsdeposit insurancetreasury
Company profileWebsite

More open roles at Mercury