Senior Data Scientist: Real-Time ML for Fraud Risk

Mercury; Portland (OR); On-site; USD 167,000 - 251,000; Full time

Job summary

Mercury is hiring a Machine Learning-focused Data Scientist to bolster our Risk team, developing ML models to detect and prevent fraud while maintaining data quality across pipelines. The role collaborates with product, engineering, and risk to protect customers and the financial system.

You will build, validate, and deploy models in production, document processes for reproducibility, and monitor model performance in a fast-paced fintech environment.

Qualifications

• 5+ years of experience analyzing large datasets to solve problems and drive impact.
• 3+ years of ML experience.
• Proficiency in SQL to understand and manage imperfect data.
• Proficiency in Python and ML modeling.
• Experience deploying and monitoring ML models in production.

Responsibilities

• Build, validate, and deploy ML models to identify and prevent fraud in real time.
• Support reproducibility and robustness via documentation, testing, and monitoring.
• Ensure data quality and reliability across pipelines and tools.
• Collaborate with Risk Strategy and Engineering for deployment and observability.

Skills

SQL

Python

Machine Learning

Data Analysis

Model Deployment

GenAI awareness

Tools

dbt

Job description

Mercury is hiring a Machine Learning-focused Data Scientist to bolster our Risk team, developing ML models to detect and prevent fraud while maintaining data quality across pipelines. The role collaborates with product, engineering, and risk to protect customers and the financial system.

You will build, validate, and deploy models in production, document processes for reproducibility, and monitor model performance in a fast-paced fintech environment.