Why Socure?

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.

We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.

WHY SOCURE?

Socure is building the identity trust infrastructure for the digital economy. We verify 100% of good identities in real time and stop fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.

We hire people who want that level of responsibility. They move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself, keep reading.

ABOUT THE ROLE

We are seeking a driven, innovative leader to own the data science vision and execution for Socure’s Identity Graph. The graph is the foundation of our identity products. It determines how accurately and completely we can resolve, link, classify, and understand real people across billions of signals.

You will lead the Identity Graph Data Science team across entity resolution, entity linking, graph ontology, identity classification, and identity enrichment. You will set the technical direction, build and grow the team, and turn hard, ambiguous problems into scalable, production-grade systems. This role requires a leader who sets a high bar for execution and thrives in ambiguity.

WHAT YOU’LL DO

Own and drive the data science vision for the Identity Graph, delivering measurable gains in accuracy, coverage, latency, and customer impact.

Lead, build, and develop a high-performing team of data scientists and applied researchers, fostering technical excellence, speed, and accountability.

Entity Resolution: Drive state-of-the-art approaches to resolving records and signals into unique, high-confidence identities at global scale.

Entity Linking: Advance the models that connect identities to the attributes, devices, addresses, and other entities that make up the graph.

Graph Ontology: Define and evolve the schema, relationships, and semantics of the graph so it stays consistent, extensible, and useful across products.

Identity Classification: Build models that classify identities and the evidence behind them, including corroborated identities, thin files, PII fragments, and synthetic identities.

Enrichment and Derived Attributes: Lead development of derived attributes and inferences, such as lifestyle indicators and marital status, that extend what the graph can tell us about an identity.

Apply deep learning, representation learning, and graph learning (including GNNs and link prediction) to structured, unstructured, and network data.

Own the end-to-end model lifecycle: data strategy, feature engineering, development, evaluation, deployment, and monitoring.

Partner closely with Product, Engineering, Risk, and Go-to-Market to translate business needs into scalable solutions that deliver customer value.

Ensure alignment with regulatory and privacy requirements, balancing model performance with explainability, auditability, and governance.

Raise the bar on experimentation and execution velocity while maintaining high standards for reliability and impact.

Serve as a trusted technical leader with customers, partners, and internal stakeholders, and represent Socure externally as a thought leader in identity and applied AI.

WHAT YOU BRING

Advanced degree (MS/PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or a related field.