Senior Data Scientist

About the role

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.

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 to optimize deployment and observability

Requirements

• 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

Ideal qualifications

• 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

Total Rewards

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees (any location): $166,600—$250,900 USD
• Canadian employees (any location): $157,400—$237,100 CAD