Senior Data Scientist - Risk ML at Mercury

Mercury is hiring a Machine Learning-focused Data Scientist for its Risk team to build, validate, deploy, monitor, and maintain machine learning models that detect and prevent fraud and assess financial crime risk. The role also involves ensuring data quality, collaborating with Risk Strategy and Engineering, and supporting model reproducibility and observability. Candidates need at least five years of experience analyzing large datasets, three years of machine learning experience, SQL and Python proficiency, and production model deployment experience; relevant risk, GenAI, data pipeline, governance, and greenfield experience are preferred. The role offers a US base salary of $166,600–$250,900 and a Canadian base salary of $157,400–$237,100, plus equity and benefits.