Data Scientist

Stack

Responsibilities

• ▹Design and ship production systems that detect and prevent fraud across KYB, trust & safety, and compliance workflows
• ▹Work with messy, real-world data: extreme class imbalance, sparse signals, and evolving adversarial behavior
• ▹Apply graph-based approaches and entity resolution techniques to uncover hidden connections and improve risk detection
• ▹Improve signal and labeling using heuristics, weak supervision, and modern AI tools, including LLMs where appropriate
• ▹Partner with engineering to build and evolve systems for feature generation, model training, and production deployment

Requirements

• ▹5+ years of experience in fraud, risk, or trust & safety, working on real-world fraud or abuse problems
• ▹Experience building and shipping production systems that power external-facing products
• ▹Strong foundation in applied ML or data systems, comfortable with imbalanced data, sparse signals, and changing patterns
• ▹Experience with graph or relational data approaches: knowledge graphs, network analysis, or entity linking
• ▹Hands-on and pragmatic, focusing on impact over perfection

Soft skills

About the company

Since 2018, Middesk has been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data. It came out of Y Combinator, is backed by Sequoia Capital and Accel Partners, and was named to the Forbes Fintech 50 List.