Senior Data Scientist, Mercury

• 5+ years of experience working with and analyzing large datasets to solve problems and drive impact, with 1+ years of relevant domain 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
• The ability to balance high-leverage projects with foundational work such as reporting, dashboarding, and exploratory analyses
• Comfort working in a fast-paced environment with evolving priorities

Desirable

• We are hiring a Data Scientist to join our Fraud and Limits team. This team is responsible for detecting, monitoring, and mitigating both first-party fraud (fraudulent applicants) and account takeover (ATO)
• 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 and collaborating across product, engineering, and risk to protect our customers and the financial system at large
• Develop dashboards and monitoring systems to track key fraud and account health metrics
• Conduct deep-dive analyses to understand fraud trends and behaviors, and translate findings into actionable recommendations
• Build, validate, and deploy machine learning models to identify and prevent fraud in real time
• Support ad hoc investigations and ensure data quality and reliability across pipelines and tools
• Collaborate with Risk Strategy and Engineering to optimize rules, scoring systems, and other fraud defenses
• Partner with cross-functional teams (Engineering, Product, Design, Operations) to embed data insights into decision-making