Data Scientist II, Fraud & Risk

The role

You will design, develop, and implement advanced deep learning models to address fraud and risk challenges. You will work with diverse data types including tabular data, natural language, point clouds, and images.

What you will do

• Design, develop, and implement advanced deep learning models, including transformers, CNNs, and LSTMs.
• Build and optimize models using tabular data, natural language, point clouds, and images.
• Take ownership of assigned tasks with minimal supervision.
• Participate in all stages of the machine learning lifecycle.
• Collaborate effectively across teams.
• Make routine technical decisions and contribute to functional objectives.
• Stay current with advancements in AI and machine learning.
• Communicate results and insights to technical and non-technical audiences.

Required qualifications

• 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 f
• 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.
• Strong problem-solving skills.
• Demonstrated ability to collaborate in a diverse, cross-functional team environment.
• Excellent written and verbal communication skills.

Nice to have

• specific experience with real-time model inferencing
• Experience with LLMs and Agentic AI framework/infrastructure (e.g., LangChain/LangGraph/Ray)
• Experience in fraud prevention, risk modeling, or identity verification

Benefits

• Competitive compensation
• equity
• benefits
• Opportunities for professional growth and skill development

About the company

Socure is building the identity trust infrastructure for the digital economy. The company verifies identities in real time to stop fraud.