HHiring Reality
← Mercury

Senior Data Scientist

Mercury
Location
San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States
Posted
18 days ago
Department
Data
What they actually want (must-haves)
  • 5+ years of experience working with and analyzing large datasets
  • 3+ years of machine learning experience
  • Proficiency in SQL
  • Proficiency in Python
  • Experience deploying and monitoring machine learning models in production
  • Comfort working in a fast-paced environment with evolving priorities
Nice to have
  • 1+ years of relevant risk experience
  • Familiarity with LLMs or other GenAI
  • Experience with modern data tools for pipelines and ETL (e.g., dbt)
  • Experience with model governance in finance or regulated industries
  • Experience building zero-to-one solutions in ambiguous or greenfield problem spaces
What the job really is

As a Senior Data Scientist at Mercury, you will focus on building and deploying machine learning models to detect and prevent fraud in real-time, ensuring data quality and reliability throughout the process. You will collaborate with various teams, including Risk Strategy and Engineering, to enhance fraud defenses and contribute to a trustworthy banking experience for customers. This role requires a strong background in data analysis and machine learning, along with the ability to adapt to a fast-paced environment.

Benefits
  • Base salary
  • Equity (stock options/RSUs)
  • Highly competitive salary and equity ranges
  • Regular updates based on reliable compensation survey data
Things to weigh
  • No specific mention of remote work flexibility outside of the stated locations
  • Fast-paced environment may imply high pressure or shifting priorities
  • Role involves working with financial crime risk, which may require adherence to strict compliance standards
Job score2.8/5
Benefits2/5
Freshness4/5
Career value4/5
Role clarity4/5
Pay transparency0/5

Applying to Mercury?

See how your résumé matches this role — and tailor it from what actually gets interviews.