Head of Data Science, Identity Graph

The role

You will own the data science vision and execution for the Identity Graph. You will lead a team of data scientists and applied researchers to develop entity resolution, linking, and classification models.

What you will do

• Own and drive the data science vision for the Identity Graph
• Lead, build, and develop a high-performing team of data scientists and applied researchers
• Drive state-of-the-art approaches to resolving records and signals into unique identities
• Advance models that connect identities to attributes, devices, and addresses
• Define and evolve the graph schema, relationships, and semantics
• Build models that classify identities and the evidence behind them
• Lead development of derived attributes and inferences
• Apply deep learning, representation learning, and graph learning to data
• Own the end-to-end model lifecycle
• Partner with Product, Engineering, Risk, and Go-to-Market teams

Required qualifications

• Advanced degree in Computer Science, Statistics, Mathematics, Engineering, or a related field
• 10+ years of experience in data science and machine learning
• Team management experience
• Deep expertise in entity resolution, record linkage, and entity linking on large, noisy, heterogeneous datasets
• Strong experience with graph data modeling, ontology design, and graph ML (GNNs, link prediction, community detection)
• Experience with identity classification or risk problems such as synthetic identity detection, thin-file or fragmentary identity handling, or fraud modeling
• Experience building enrichment or inference models on top of identity or consumer data
• Hands-on experience with Apache Spark and large-scale distributed data systems
• Proficiency in Python and modern ML frameworks (e.g., PyTorch)
• Demonstrated ability to drive ambiguous, high-impact problems to production
• Ability to explain complex models and trade-offs clearly to technical and non-technical audiences

Nice to have

• MS/PhD preferred
• Familiarity with graph ML frameworks is a plus
• Significant experience in identity verification, KYC/AML, fraud detection, or adjacent fintech domains is strongly preferred

Benefits

• Competitive compensation
• Equity
• Benefits

Before you apply

• Can only hire within ~45 miles of San Francisco, New York, Seattle, Miami
• Unable to provide sponsorship support now or in the future

About the company

Socure is building the identity trust infrastructure for the digital economy. They verify identities in real time to stop fraud.