Data Scientist II, Fraud & Risk

📋 Description

• Design, develop, and implement advanced deep learning models, including transformers, CNNs, and
• Build and optimize models using a variety of input data types, including tabular data, natural
• Take ownership of assigned tasks, executing technical and functional activities to support project
• Participate in all stages of the machine learning lifecycle: data exploration, feature engineering
• Collaborate effectively across teams, sharing knowledge and learning from diverse perspectives to
• Make routine technical decisions and contribute to functional objectives through productive and

🎯 Requirements

• Bachelor’s degree with substantial related experience, Master’s degree with relevant experience, or
• 2-4 years of hands-on experience developing and deploying deep learning models (such as
• Experience working with diverse data modalities, such as tabular data, text/language, point clouds
• 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
• Experience with model deployment and monitoring in production environments (specific experience

🎁 Benefits

• Join a mission-driven company at the forefront of identity verification and fraud prevention.
• Work on impactful, challenging problems using cutting-edge technology.
• Collaborate with talented colleagues in an inclusive, innovative culture.
• Competitive compensation, equity, and benefits.
• Opportunities for professional growth and skill development.