Middesk
Fintech
LeadDataScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Lead Data Scientist at Middesk. Skills: Applied ML, Production ML, Knowledge graph. Build risk & fraud ML applications. Deliver production ML models”
What You'll Achieve.
Measurable impact on customer workflows; Improve signal extraction; Automate labeling process; Scale multiple ML use cases; Enhance entity resolution; Enhance business identity use cases
Industry & Context.
Tackle hard data problems; Classification problems with extreme class imbalance; Sparse signals; Cold start label challenges; Entity resolution
What They're Looking For.
Must Have
5+ years of production ML experience, Building Production ML for risk, fraud, credit, or trust & safety, Entity resolution for business or individual identities, Expertise in classification with real-world ML challenges, Hands-on ML infrastructure experience
Nice to Have
B2B SaaS experience, ML pipeline and automation engineering, Experience scaling ML across multiple products or risk domains, Knowledge graph applications
What You'll Do.
Build risk & fraud ML applications
Deliver production ML models
Tackle hard data problems
Work on classification problems
Innovate in feature engineering & labeling
Use graph-based techniques
Establish ML infrastructure foundations
Design feature services
Design model training pipeline
Design model serving standards
Scale multiple ML use cases
Design and implement knowledge graph solutions
Leverage LLMs for graph construction
Leverage LLMs for querying
Leverage LLMs for retrieval
How You'll Work.
Team & Collaboration
Partner with the ML infra team; Mentoring peers
Full Job Description
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. 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 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 a commutable distance, as we believe in the value of in-person collaboration and building strong team connections while also supporting flexibility where possible. WHAT YOU'LL DO: - Build risk & fraud ML applications: Deliver production ML models in fraud, trust & safety, KYB, and compliance domains, with measurable impact on customer workflows. - Tackle hard data problems: Work on classification problems with extreme class imbalance, sparse signals, and “cold start” label challenges. - Innovate in feature engineering & labeling: Use graph-based techniques, weak supervision, LLMs, and AI agents to improve signal extraction and auto
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