Staff Data Scientist, Watchlist

The role

You will work on entity matching and classification by scaling a real-time matching engine and building NLP models. You will also develop risk scoring, data enrichment pipelines, and AML risk detection methods.

What you will do

• Improve data quality, coverage, and freshness through ingestion pipelines.
• Design and execute data quality analysis pipelines.
• Apply NLP and AI to classify and enrich raw source data.
• Expand multilingual capabilities for global screening.
• Build and improve NLP systems for entity resolution and deduplication.
• Develop approaches to handle evolving entity profiles.
• Measure and benchmark entity resolution quality.
• Design and scale advanced NLP models for real-time name matching.
• Build multi-signal risk scoring.
• Maintain benchmarking frameworks, golden datasets, and regression tests.

Required qualifications

• Master's or PhD in Computer Science, Computational Linguistics, Statistics, Applied Mathematics, or a related field; or equivalent professional experience.
• 7+ years of experience in data science or machine learning, with meaningful work in NLP, entity resolution, or information extraction.
• Hands-on experience building and deploying NLP pipelines for entity extraction, named entity recognition, and record linkage at production scale.
• Strong proficiency in Python and major ML libraries (PyTorch, spaCy, HuggingFace Transformers).
• Strong SQL proficiency and experience with large-scale data pipelines and production ML systems.
• Excellent communication skills.

Nice to have

• Experience in AML, sanctions screening, adverse media, or financial crime detection
• Familiarity with multilingual NLP and non-Latin script processing
• Experience with LLMs and agentic AI frameworks (e.g., LangChain/LangGraph)

Before you apply

• We cannot provide Sponsorship at this time.
• You must be located in one of our talent hubs: New York, San Francisco, Seattle, or Miami.

About the company

Socure is building the identity trust infrastructure for the digital economy by verifying identities in real time and stopping fraud.