Lead ML/graph intl eKYC models for global identity verification.
Architect reusable matching across ID schemes and local naming.
Develop probabilistic/rule-based models for noisy intl data with explainability.
Define/evolve the intl extension of Socure's identity graph: schema, linkage, quality.
Build scalable data quality/monitoring for intl identity data and pipelines.
Drive evaluation, governance, and regulatory considerations for intl markets.

🎯 Requirements

Master’s or PhD in CS/DS/ML/Stats or equivalent.
6+ years ML/data science; 4+ with PhD; production models in high-stakes domains.
Intl/multi-region product experience preferred (cross-border KYC).
Python and SQL expert; Spark/PySpark/Databricks on large datasets.
Experience with graph learning and entity resolution at scale.
Proficient with graph technologies: Neo4j, AWS Neptune, GraphFrames, DGL, PyG.

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