Socure
Staff Data Scientist - Fraud & Risk
$191K–$230K
Hub - New York +1 · Hybrid · Staff · Full-time · Posted Sep 14, 2026
- Location
- Hub - New York
Hub - San Francisco - Experience
- 8+ years in data science, machine learning, or related fields; hands-on deep-learning experience required, but no number of years is stated.
- Education
- Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field; or equivalent professional experience.
About the job
Designs and delivers deep-learning and machine-learning solutions for fraud detection, risk management, and identity verification, while leading technical initiatives and mentoring data scientists.
What you'll do
- Design, build, evaluate, deploy, and monitor models across diverse data types.
- Lead research and technical initiatives, collaborate across teams, and present findings to stakeholders.
- Mentor peers and junior data scientists and drive project outcomes.
What they ask for
- Master’s or PhD in a related field, or equivalent professional experience.
- Experience in fraud prevention, risk modeling, or identity verification.
- Hands-on experience developing and deploying deep-learning models and working with diverse data modalities.
- Proficiency in Python, SQL, and major ML libraries/frameworks; experience with production model deployment and monitoring.
Nice to have
- Experience with real-time model inferencing.
- Experience with LLMs and Agentic AI framework/infrastructure, such as LangChain/LangGraph/Ray.
Pay
$191K – $230K USD base salary
Tools
Python, SQL, PyTorch, TensorFlow, scikit-learn, LangChain, LangGraph, Ray
AI focus
Develop and apply deep-learning models, including transformers, CNNs/RNNs, and graph learning, for fraud detection, risk management, and identity verification; explore new algorithms and data sources.
Model-written summary · the original posting is authoritative