Senior Data Scientist

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

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

Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.