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Staff Data Scientist, Watchlist

Socure · Remote · California - Remote · $191k–$230k

Posted by Socure on their careers site · View the original posting

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Open 45 days

Visa sponsorship: Says no sponsorship · This posting says it won't sponsor
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The posting, as Socure wrote it

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 — 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.

ABOUT THE ROLE

We are looking for a Staff Data Scientist to join Socure's Watchlist Data Science team. Watchlist sits at the heart of global AML compliance — our platform screens hundreds of millions of entities in real time across sanctions lists, PEP databases, and adverse media sources for banks, fintechs, and payment companies worldwide.

As a Staff Data Scientist, you will work on the hardest problems in entity matching and classification: scaling our patented real-time matching engine, building advanced Natural Language Processing (NLP) models for Named Entity Recognition (NER) and Information Extraction, and bringing next-generation research to production. This is a senior individual contributor role with broad technical ownership and direct impact on a product that helps the world's financial institutions manage sanctions and AML risk.

WHAT YOU'LL DO

Data Quality & Enrichment

  • Improve the quality, coverage, and freshness of Watchlist's underlying data through next-generation ingestion pipelines.
  • Design and execute rigorous data quality analysis pipelines to identify anomalies, evaluate dataset health, and ensure high-fidelity inputs for downstream model training.
  • Apply NLP and AI to classify and enrich raw source data into normalized schemas — extracting structured entity attributes from unstructured sanctions, PEP, adverse media, and enforcement sources.
  • Expand multilingual capabilities to support global screening across Latin and non-Latin scripts.

Entity Resolution

  • Build and improve NLP systems that consolidate how watchlist identities are represented. Developing Information Extraction

[…]
ons screening, adverse media, or financial crime detection is strongly preferred.

  • Hands-on experience building and deploying NLP pipelines for entity extraction, named entity recognition, and record linkage at production scale.
  • Familiarity with multilingual NLP and non-Latin script processing is a strong plus.
  • Experience with LLMs and agentic AI frameworks (e.g., LangChain/LangGraph) is a plus.
  • 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 — able to translate model performance tradeoffs into compliance and business language for non-technical audiences.

Note: We cannot provide Sponsorship at this time.

You must be located in one of our talent hubs: New York, San Francisco, Seattle, or Miami.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process — including interview or onboarding support — please reach out to your Socure recruiting partner directly.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.

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