Socure · 1 day ago
Staff Data Scientist - Fraud & Risk
United States
Full-time
Remote
Lead/Staff
$140K/yr - $210K/yr
8+ years expSocure is building the identity trust infrastructure for the digital economy, focusing on real-time identity verification and fraud prevention. They are seeking a Staff Data Scientist to design and optimize advanced deep learning models for fraud detection and risk management, while mentoring peers and driving project success.
Artificial Intelligence (AI)Cyber SecurityFraud DetectionIdentity ManagementInformation ServicesInformation TechnologyMachine LearningPredictive Analytics
No H1B
Responsibilities
Design, develop, and implement advanced deep learning models, including transformers, CNNs, and LSTMs, to address complex fraud and risk challenges
Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images
Lead the end-to-end machine learning lifecycle: data exploration, feature engineering, model training, evaluation, deployment, and monitoring in production environments
Take ownership of project outcomes, data quality, and delivery timelines; proactively escalate issues and work collaboratively to resolve challenges
Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning
Collaborate cross-functionally with Product, Engineering, and Risk teams to define data requirements and drive insights that guide strategic decisions
Conduct in-depth research to explore new data sources and develop novel algorithms that advance the state of the art in fraud detection
Present findings and recommendations to technical and executive stakeholders with clarity and influence
Stay current with advancements in AI and machine learning, applying innovative approaches to real-world problems
Model Socure’s embedded leadership competencies: continuous learning, effective communication, accountability, team development, decision making, and managing change
Qualification
Required
Master's or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field; or equivalent professional experience
8+ years of experience in data science, machine learning, or related fields, ideally in a high-growth tech or fintech environment
Experience in fraud prevention, risk modeling, or identity verification
Years of hands-on experience developing and deploying deep learning models (such as transformers, CNNs, and LSTMs)
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)
Deep understanding of machine learning algorithms, model evaluation techniques, and data pipeline development
Experience with model deployment and monitoring in production environments (specific experience with real-time model inferencing is a plus)
Demonstrated ability to proactively deliver complex outcomes, mentor others, and influence cross-functional decisions
Excellent communication skills with the ability to translate complex data problems into actionable business insights for both technical and non-technical audiences
Commitment to continuous learning, professional integrity, and high standards of business ethics
Preferred
Experience with LLMs and Agentic AI framework/infrastructure (e.g., LangChain/LangGraph/Ray) is a plus
Company
Socure
Socure is a predictive analytics platform for digital identity verification of consumers.
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$744.4MKey Investors
Capital One VenturesAccelSorenson Ventures
2023-03-08Debt Financing· $95M
2021-11-09Series E· $450M
2021-06-03Series Unknown
Leadership Team
Johnny Ayers
Founder & CEO
Matt King
Director, GRC - Public Sector
Recent News
2025-12-25
BiometricUpdate.com
2025-12-21
Washington Technology
2025-12-20
Company data provided by crunchbase