Staff Data Scientist - Fraud ML & Risk

OfferGenie; San Francisco (CA); Hybrid; USD 170,000 - 230,000; Full time

Job summary

Mercury is hiring a Machine Learning-focused Data Scientist to support our Risk team. You will build, validate, and deploy ML models to identify and prevent fraud in real time, while ensuring data quality and robust monitoring. You’ll collaborate with Risk Strategy and Engineering to optimize inputs, deployment, and observability.

This is an opportunity to join Mercury at a pivotal moment, leading best practices and mentoring teammates in a fast-paced fintech environment.

Qualifications

• 7+ years of experience analyzing large datasets to drive impact.
• Proficiency in SQL to understand and manage imperfect data.
• Proficiency in Python and ML modeling.
• Experience deploying and monitoring ML models in production.
• Ability to lead and empower others and drive cross-team alignment.
• The ability to drive strategic alignment between teams with differing roadmaps, timelines, or architectures.

Responsibilities

• Build, validate, and deploy ML models to identify and prevent fraud in real time.
• Document, test, and monitor models to ensure reproducibility and robustness.
• Ensure data quality and reliability across pipelines and tools.
• Collaborate with Risk Strategy and Engineering on inputs, deployment, and observability.
• Act as tech lead, prototyping and codifying best practices.

Skills

SQL proficiency

Python

Machine Learning

Large datasets analysis

Leadership

Strategic alignment

Tools

dbt

Job description

Mercury is hiring a Machine Learning-focused Data Scientist to support our Risk team. You will build, validate, and deploy ML models to identify and prevent fraud in real time, while ensuring data quality and robust monitoring. You’ll collaborate with Risk Strategy and Engineering to optimize inputs, deployment, and observability.

This is an opportunity to join Mercury at a pivotal moment, leading best practices and mentoring teammates in a fast-paced fintech environment.