Lead Data Scientist

Middesk
San Francisco
Workplace: HybridFull timeUSD 210,000 - 250,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Python","LLMs","Graph databases","Feature stores","Machine learning","Knowledge graphs","SQL","Pandas"]

Hands-on, senior IC responsible for building production ML models in risk, fraud, and identity verification at Middesk. You’ll tackle imbalanced data, cold-start labeling, and graph-based feature engineering, while shaping ML infrastructure and knowledge-graph solutions to scale multiple use cases in a SaaS environment.

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FursaFursa
Middesk
Middesk
3 months ago

Lead Data Scientist

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Last checked: 8 hours agoStatus: Live

Job Summary

Hands-on, senior IC responsible for building production ML models in risk, fraud, and identity verification at Middesk. You’ll tackle imbalanced data, cold-start labeling, and graph-based feature engineering, while shaping ML infrastructure and knowledge-graph solutions to scale multiple use cases in a SaaS environment.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Build production ML applications in fraud, trust & safety, KYB, and compliance domains with measurable impact on customer workflows.
  • •Tackle hard data problems: classification with extreme class imbalance, sparse signals, and cold-start labeling challenges.
  • •Innovate in feature engineering and labeling using graph-based techniques, weak supervision, LLMs, and AI agents to improve signal extraction.
  • •Establish ML infrastructure foundations: design feature services, training pipelines, model serving standards, and orchestration to scale multiple 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.

Pay and Benefits

Salary: USD 210,000 - 250,000 annually
Equity and Bonus:Equity

Key Requirements

  • •5+ years of production ML experience in risk, fraud, credit, or trust & safety (external-facing ML applications)
  • •Hands-on ML infrastructure experience: feature stores, model management, ML training/serving pipelines
  • •Knowledge graph applications: building, querying, or extracting signals from knowledge graphs for identity verification or risk decisioning
  • •Entity resolution for business or individual identities in KYB/KYC/AML contexts
  • •Comfort as a senior IC: setting technical direction, mentoring peers, and establishing best practices
Experience:5+ yearsRiskFraudIdentity verificationEnterprise
Skills:PythonLLMsGraph databasesFeature storesMachine learningKnowledge graphsSQLPandas
Tech Stack:PythonLLMsGraph databasesFeature storesModel managementML trainingModel servingKnowledge graphs

Company Brief

Middesk
Provides B2B identity verification and business data infrastructure to help companies onboard, verify, and risk-assess businesses and their owners through APIs and workflow tools.
Industry: Fintech Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2018
WebsiteLinkedIn