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Senior Data Scientist

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Senior Data Scientist

Mercury

Senior Data Scientist

Skills

SQL QueriesPythonMachine Learningdbt

2 months ago

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Important information


Salary:

CA$157,400 – CA$237,100 / year

Location:

New York, NY, USA

Work mode:

Remote

Published on:

4 September 2026

What they need


Who you are

  • 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
  • 1+ years of relevant risk experience
  • Familiarity with LLMs or other GenAI and how they can be applied to risk or fraud detection
  • Experience with modern data tools for pipelines and ETL (e.g., dbt)
  • Experience with model governance as required in finance or other regulated industries
  • Experience building zero-to-one solutions in ambiguous or greenfield problem spaces

What the job involves

  • We are hiring a Machine Learning-focused Data Scientist to support our Risk team
  • This team is responsible not only for detecting, monitoring, and mitigating both first- and third-party fraud, but also for ensuring we know and understand our customers while monitoring their behavior for financial crime risk
  • You’ll play a key role in strengthening our fraud defenses while ensuring that Mercury continues to deliver a smooth and trustworthy banking experience
  • This is an opportunity to join Mercury at a pivotal moment in our growth
  • You’ll be working on some of the most critical challenges facing the business
  • You’ll collaborate across product, engineering, and risk to protect our customers and the financial system at large
  • 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

Benefits

  • Health, dental, & vision
  • 12+ weeks of paid parental leave
  • $600 USD custom WFH equipment setup
  • Unlimited vacation policy (with a mandatory minimum)
  • Annual $1K learning & development budget
  • Paid 6-week sabbatical after the 5-year mark
  • Weekly $100 food budget
  • Monthly $100 wellness budget
  • Monthly $50 cellphone reimbursement
  • Pet-friendly offices with free tea and beverages, plus lunch and snacks
  • Unlimited vacation policy (with a mandatory minimum)
  • Retirement matching up to 4% of base salary (401K/RRSP)
  • Inclusive fertility, hormonal health, and family-forming benefits through Carrot Fertility

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