Staff Data Scientist, Watchlist

What you'll do

• Improve and enrich watchlist data, and build NLP pipelines for entity extraction, normalization, and deduplication.
• Develop real-time matching, classification, and risk-scoring models, along with evaluation and customer-tuning tools.
• Lead technical initiatives, collaborate with Product and Engineering, and mentor peers.

What they ask for

• Master's or PhD in 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.
• Production-scale experience building and deploying NLP pipelines for entity extraction, named entity recognition, and record linkage.
• Strong proficiency in Python and major ML libraries; strong SQL proficiency and experience with large-scale data pipelines and production ML systems.

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).

Pay

$191K – $230K (base salary)

Tools

Python, PyTorch, spaCy, HuggingFace Transformers, SQL, LangChain, LangGraph

AI focus

Apply NLP and AI to watchlist data enrichment, multilingual named entity recognition and information extraction, entity resolution, real-time matching, classification, risk scoring, and evaluation of AI-powered decision systems; prototype and deploy relevant LLM techniques.