Data Scientist II - Fraud & Risk jobs in United States
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Socure · 1 week ago

Data Scientist II - Fraud & Risk

Socure is building the identity trust infrastructure for the digital economy, focusing on fraud prevention and risk management. The Data Scientist II will design and implement advanced deep learning models to address complex challenges in fraud detection and identity verification while collaborating with a high-performing team.

Artificial Intelligence (AI)Cyber SecurityFraud DetectionIdentity ManagementInformation ServicesInformation TechnologyMachine LearningPredictive Analytics
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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
Take ownership of assigned tasks, executing technical and functional activities to support project goals with minimal supervision
Participate in all stages of the machine learning lifecycle: data exploration, feature engineering, model training, evaluation, and deployment
Collaborate effectively across teams, sharing knowledge and learning from diverse perspectives to drive results
Make routine technical decisions and contribute to functional objectives through productive and proactive engagement
Stay current with advancements in AI and machine learning, applying innovative approaches to real-world problems
Communicate results and insights clearly to both technical and non-technical audiences

Qualification

Deep learning modelsPythonMachine learning lifecycleModel deploymentData explorationFraud preventionCollaborationProblem-solvingCommunication skills

Required

Bachelor's degree with substantial related experience, Master's degree with relevant experience, or equivalent work background in Computer Science, Statistics, Mathematics, Engineering, or a related field
2-4 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
Proficiency in Python and major ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
Foundational 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)
Strong problem-solving skills, with the ability to work independently on straightforward tasks and contribute effectively to project objectives
Demonstrated ability to collaborate in a diverse, cross-functional team environment
Excellent written and verbal communication skills

Preferred

Experience with LLMs and Agentic AI framework/infrastructure (e.g., LangChain/LangGraph/Ray) is a plus
Experience in fraud prevention, risk modeling, or identity verification is a plus

Company

Socure is a predictive analytics platform for digital identity verification of consumers.

Funding

Current Stage
Late Stage
Total Funding
$744.4M
Key Investors
Capital One VenturesAccelSorenson Ventures
2023-03-08Debt Financing· $95M
2021-11-09Series E· $450M
2021-06-03Series Unknown

Leadership Team

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Johnny Ayers
Founder & CEO
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Matt King
Director, GRC - Public Sector
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Company data provided by crunchbase