Lead Data Scientist

Description du poste

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 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 automate labeling process Establish ML infrastructure foundations: Partner with the ML infra team to design feature services, model training pipeline, model serving standards, and orchestration to scale multiple ML use cases Design and implement knowledge graph solutions: Leveraging LLMs for graph construction, querying, and retrieval to enhance entity resolution and business identity use cases Benefits Healthcare: We take care of you premiums for medical, dental, and vision. Unlimited PTO: We have an unlimited PTO policy and encourage you actually to use it. Ownership: We offer a stake in the company to every full-time employee through stock options. 401(k): We make it easy to save money for retirement. Parental leave: We offer three months of paid parental leave to any parent. Hybrid work: We have offices in San Francisco and New York and also offer the abil

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