Lead Data Scientist
Technologies
ML · fraud detection · knowledge graphs · entity resolution · LLMs · AI agents · feature stores · model serving · weak supervision · classification
About Middesk
API-first platform for business identity verification (KYB), fraud prevention, and underwriting — used by fintechs, banks, and marketplaces to onboard business customers faster.
Series B · 100–200 people
Job description
The full responsibilities and requirements are on the employer’s site.
Open application page ↗Source and classification
Production engineering · Evidence for this classification:
Forbes Fintech 50 and Best Startup Employers lists. About The Role: We are actively building AI-driven applications that streamline customer workflows, focusing on business onboarding. With our proprietary identity data assets and deep domain expertise, we are uniquely positioned to expand into a broader set of AI-powered solutions that drive long-term growth. We’re looking for a hands-on applied ML expert to help build the technical foundation for these efforts. Ideally you have shipped external-facing models in the risk/fraud space and know the messy realities of imbalanced data, low labels, and changing behavior. This is a highly technical, hands-on role with wide influence on how we design, build, and scale ML at Middesk. We follow a hybrid work model, and for this role, there is an expectation of 2 days per week in our SF/NYC office. Candidates should be based within aHow jobs are selected
Employer postings · Data from · Sources