M
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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