HHiring Reality
← Mercury

Staff 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)
  • 7+ years of experience working with and analyzing large datasets
  • 5+ 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 Staff Data Scientist at Mercury, you will focus on building, validating, and deploying machine learning models to detect and prevent fraud in real time. You will collaborate with various teams, ensuring data quality and reliability while also documenting and monitoring model performance. This role involves leading technical efforts and driving strategic alignment across teams to enhance fraud defenses and improve customer banking experiences.

Benefits
  • Base salary
  • Equity (stock options/RSUs)
  • Highly competitive salary and equity ranges
  • Regular updates to compensation based on reliable survey data
Things to weigh
  • No specific details on the technology stack used
  • Role involves significant leadership and collaboration across teams, which may require strong interpersonal skills
  • Fast-paced environment may lead to shifting priorities
Job score2.8/5
Benefits2/5
Freshness4/5
Career value4/5
Role clarity4/5
Pay transparency0/5

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