Data Scientist
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.
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Production engineering · Evidence for this classification:
Forbes Fintech 50 and Best Startup Employers lists. About The Role: We’re building AI-driven applications that simplify customer workflows, starting with business onboarding. 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. We’re looking for a hands-on engineer to help build the foundation for these systems. 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. This is a highly technical, hands-on role with broad influence over how we design, build, and scale data-driven systems at Middesk. We follow a hybrid work model, and for this role, there is anHow jobs are selected
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