Socure
Staff Data Scientist - Fraud & Risk
Hub - New York · Staff+
Sponsorship not specifiedDetected 38 days ago
PythonAlgorithmsSQLMachine LearningDeep LearningTensorFlowPyTorchscikit-learnData ScienceNLPLLMsAgentic AILangGraphStatisticsA/B TestingResearchLeadershipCommunicationRisk Modeling
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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.
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Files H-1B transfers
3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 10 days. An employer that already files transfers is one that can take over an existing H-1B.
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About the role
- We are seeking a skilled and motivated Staff Data Scientist to join our Fraud & Risk Data Science team.
- You will work hands-on with advanced deep learning models, driving delivery of impactful solutions for fraud detection, risk management, and identity verification.
- This role requires deep technical expertise, strategic ownership, and a commitment to Socure's leadership principles, including continuous learning, effective communication, and accountability.
Responsibilities
- Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images.
- Conduct in-depth research to explore new data sources and develop novel algorithms that advance the state of the art in fraud detection.
- 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.
- If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.
- Collaborate cross-functionally with Product, Engineering, and Risk teams to define data requirements and drive insights that guide strategic decisions.
Requirements
- Experience in fraud prevention, risk modeling, or identity verification.
- Experience working with diverse data modalities, such as tabular data, text/language, point clouds, and images.
- Strong proficiency in Python, SQL, and major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
- Excellent communication skills with the ability to translate complex data problems into actionable business insights for both technical and non-technical audiences.
Nice to have
- Experience with model deployment and monitoring in production environments (specific experience with real-time model inferencing is a plus)
- Experience with LLMs and Agentic AI framework/infrastructure (e.g., LangChain/LangGraph/Ray) is a plus.
Benefits
- Design, develop, and implement advanced deep learning models, including transformers, CNNs/RNNs, and graph learning algorithms, to address complex fraud and risk challenges.
- Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning.
- Stay current with advancements in AI and machine learning, applying innovative approaches to real-world problems.
Company info
- STAFF DATA SCIENTIST - FRAUD & RISK JOB OVERVIEW We are seeking a skilled and motivated Staff Data Scientist to join our Fraud & Risk Data Science team.
- The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
This listing is sourced directly from Socure's careers page and normalized into a canonical job model.