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Lead Data Scientist

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Hybrid (San Francisco / New York)$210k - $250kFull-timePosted 1w ago

About the role

Hands-on applied ML role focused on building AI-driven risk, fraud, and identity solutions. Production ML leadership with emphasis on imbalanced data, knowledge graphs, and ML infrastructure. Hybrid work model with in-person 2 days/week in SF/NYC.

Responsibilities

  • 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.

Qualifications

  • 7+ years of production ML experience in one or more of the following areas: - Building Production ML for risk, fraud, credit, or trust & safety: Track record of shipping external-facing ML applications in one or more of these domains. - Knowledge graph applications: Hands-on experience building, querying, or extracting signals from knowledge graphs—ideally over business entity networks (companies, persons, addresses, relationships) to support identity verification, fraud detection, or risk decisioning. - Entity resolution for business or individual identities: Experience disambiguating and linking records across noisy, incomplete, or conflicting data sources—particularly in KYB, KYC, AML, or identity verification contexts where the same real-world entity may appear under different names, addresses, or tax IDs.

Skills

Required:PythonSQL
Last updated Oct 14, 2026. Interested? Apply on the company site.
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About Middesk

We make it easier for B2B companies to transact with one another

Middesk's mission is to enable every business to access the products and services they need to grow and thrive. We believe that if we can make it easy for a business to access financial products, hire new employees, and transact with other businesses, that we increase the odds of success for that business to contribute to its community and the broader economy. Our Identity provides accurate, complete information that financial services companies need to make efficient onboarding decisions. Our Agent product makes it easy for employers to file with the state and federal agencies needed to establish their business across the country. Our customers include Affirm, Brex, Plaid, Mercury, Divvy, Rippling, Gusto, and others. Based in San Francisco, CA, Middesk is backed by Sequoia Capital, Accel Partners, and Y Combinator.

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