Note: The job is a remote job and is open to candidates in USA. Mercury is a fintech company hiring a Machine Learning-focused Senior Data Scientist to support its Risk team. The role focuses on building and deploying real-time machine learning models for fraud detection, ensuring data and model reliability, and collaborating with Risk Strategy and Engineering on model applications and deployment.
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
Skills
- 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
Benefits
- Equity (stock options/RSUs)
Company Overview
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