Fraud & Risk Data Scientist - Production ML

Middesk; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Middesk is seeking a hands-on engineer for a critical role in building fraud and risk systems. You'll design production systems that detect and prevent fraud using your expertise in fraud management and machine learning. The ideal candidate has over 4 years of experience in fraud or risk, strong applied machine learning knowledge, and familiarity with graph-based data approaches. This position offers the opportunity to influence data-driven systems at a growing company backed by leading investors.

Qualifications

• 4+ years of experience in fraud, risk, or trust & safety.
• Experience building and shipping production systems.
• Strong foundation in applied machine learning or data systems.
• Experience with graph or relational data approaches.

Responsibilities

• Build fraud & risk systems to detect and prevent fraud.
• Work with messy, real-world data to tackle complex issues.
• Leverage relationships in data for better risk detection.
• Improve signal & labeling with AI tools.
• Help scale infrastructure for data-driven systems.

Skills

Fraud analysis

Risk management

Machine learning application

Data systems

Graph-based approaches

Job description

Middesk is seeking a hands-on engineer for a critical role in building fraud and risk systems. You'll design production systems that detect and prevent fraud using your expertise in fraud management and machine learning. The ideal candidate has over 4 years of experience in fraud or risk, strong applied machine learning knowledge, and familiarity with graph-based data approaches. This position offers the opportunity to influence data-driven systems at a growing company backed by leading investors.