Senior ML Fraud Risk Scientist

Mercury; Portland (OR); On-site; USD 239,000 - 299,000; Full time

Job summary

Mercury in Portland is seeking a Machine Learning‑focused Data Scientist to strengthen our Risk team. You will build, validate, and deploy real‑time fraud models and collaborate across Risk Strategy and Engineering.

The role demands 7+ years of data work, 5+ years ML, SQL and Python proficiency, and prior production model experience. You’ll lead efforts, improve data pipelines, and help shape our risk controls in a fast‑paced fintech environment.

Qualifications

• 7+ years of experience analyzing large datasets to solve problems and drive impact.

Responsibilities

• Build, validate, and deploy machine learning models to identify and prevent fraud in real time.
• Support reproducibility and robustness of models through documentation, testing, and monitoring.
• Ensure data quality and reliability across pipelines and tools.
• Collaborate with Risk Strategy and Engineering to optimize deployment and observability.
• Act as a technical lead prototyping and codifying best practices.

Skills

7+ years data analysis

ML experience

SQL

Python

Model deployment

Leadership

Strategy alignment

Tools

dbt

Job description

Mercury in Portland is seeking a Machine Learning‑focused Data Scientist to strengthen our Risk team. You will build, validate, and deploy real‑time fraud models and collaborate across Risk Strategy and Engineering.

The role demands 7+ years of data work, 5+ years ML, SQL and Python proficiency, and prior production model experience. You’ll lead efforts, improve data pipelines, and help shape our risk controls in a fast‑paced fintech environment.