data
Posted May 1Data Scientist
at Middesk
San Francisco, United StatesHybrid
Requirements
- Middesk came out of Y Combinator, is backed by Sequoia Capital and Accel Partners, and was recently named to Forbes Fintech 50 List.
- ABOUT THE ROLE: We’re building AI-driven applications that simplify customer workflows, starting with business onboarding.
- This role is less about inventing new ML algorithms and more about applying the right techniques to messy, real-world problems.
- You’ve worked in fraud, risk, or trust domains, and you understand how bad actors behave, how data breaks, and how to still ship reliable systems anyway.
- - Improve signal & labeling Use a mix of heuristics, weak supervision, and modern AI tools (including LLMs where appropriate) to generate better features and labels.
- experience in fraud, risk, or trust & safety You’ve worked on real-world fraud or abuse problems and understand the domain deeply. -
- Experience building and shipping production systems You’ve deployed models or data-driven systems that power external-facing products. - Strong foundation in applied ML or data systems Comfortable working on classification problems with real-world constraints like imbalanced data, sparse signals, and changing patterns. -
- Experience with graph or relational data approaches Familiarity with knowledge graphs, network analysis, or entity linking is strongly preferred. - Hands-on and pragmatic You focus on impact over perfection and know how to balance speed, accuracy, and maintainability.
Experience
- WHAT WE’RE LOOKING FOR: - 5+ years of
Additional details
- ABOUT MIDDESK: Middesk makes it easier for businesses to work together.
- Since 2018, we’ve been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data.
- Our platform helps companies across industries confidently verify business identities, onboard customers faster, and reduce risk at every stage of the customer lifecycle.
- With our proprietary identity data and deep domain expertise, we’re in a strong position to expand into a broader set of intelligent, risk-aware products.