Data Scientist

The role

This person will build fraud and risk systems to detect and prevent fraud across KYB, trust and safety, and compliance workflows. They will work with messy real-world data and leverage graph-based approaches and entity resolution techniques.

What you will do

• Design and ship production systems that detect and prevent fraud across KYB, trust & safety, and compliance workflows.
• Tackle problems with extreme class imbalance, sparse signals, evolving adversarial behavior, and limited ground truth.
• Apply graph-based approaches and entity resolution techniques to uncover hidden connections and improve risk detection.
• Use a mix of heuristics, weak supervision, and modern AI tools to generate better features and labels.
• Partner with engineering to build and evolve systems for feature generation, model training, and production deployment.

Required qualifications

• 5+ years of experience in fraud, risk, or trust & safety
• Experience building and shipping production systems
• Strong foundation in applied ML or data systems
• Hands-on and pragmatic

Nice to have

• Familiarity with knowledge graphs, network analysis, or entity linking

About the company

Middesk is building the data and intelligence infrastructure that helps businesses work together with confidence. The company provides a platform for understanding businesses to help customers verify identities, onboard customers, and manage risk.