Socure
Staff Data Scientist, Watchlist
California - Remote · Staff+
No sponsorshipDetected 29 days ago
PythonAlgorithmsSQLMachine LearningPyTorchData EngineeringData ScienceNLPLLMsAgentic AIMLOpsLangGraphStatisticsResearchLeadershipCommunication
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
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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.
Responsibilities
- Expand multilingual capabilities to support global screening across Latin and non-Latin scripts.
- Build and improve NLP systems that consolidate how watchlist identities are represented. Developing Information Extraction and Named Entity Recognition (NER) pipeline to deduplicate entities across lists and resolve aliases into canonical profiles..
- Develop approaches to handle how entity profiles change over time as names, aliases, and sanctions status evolve.
- Design and scale advanced NLP models and algorithms that perform real-time name matching and identity classification across diverse, multilingual unstructured data sources.
- Build multi-signal risk scoring that combines name similarity, entity type, geography, list type, and other attributes into unified, calibrated risk scores.
- Maintain and improve benchmarking frameworks, golden datasets, and regression tests that keep the match engine at the highest levels of recall and precision.
Requirements
- 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.
- You must be located in one of our talent hubs: New York, San Francisco, Seattle, or Miami.
- 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.
- 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.
- 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.
Nice to have
- Experience in AML, sanctions screening, adverse media, or financial crime detection is strongly preferred.
- 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.
Benefits
- 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.
- Measure and benchmark entity resolution quality, driving continuous improvement in coverage and accuracy.
Company info
- ABOUT THE ROLE We are looking for a Staff Data Scientist to join Socure's Watchlist Data Science team.
Visa & Work Authorization
- Note: We cannot provide Sponsorship at this time.
This listing is sourced directly from Socure's careers page and normalized into a canonical job model.