Staff Data Scientist - Fraud & Risk

📋 Description

• Design, develop, and implement advanced deep learning models, including transformers, CNNs/RNNs
• Build and optimize models using a variety of input data types, including tabular data, natural
• Lead the end-to-end machine learning lifecycle: data exploration, feature engineering, model
• Take ownership of project outcomes, data quality, and delivery timelines; proactively escalate
• Mentor and share knowledge with peers and junior data scientists, fostering a culture of
• Collaborate cross-functionally with Product, Engineering, and Risk teams to define data

🎯 Requirements

• Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related
• 8+ years of experience in data science, machine learning, or related fields, ideally in a
• Experience in fraud prevention, risk modeling, or identity verification.
• Hands-on experience developing and deploying deep learning models (such as transformers, CNNs/RNNs
• Experience working with diverse data modalities, such as tabular data, text/language, point clouds
• Strong proficiency in Python, SQL, and major ML libraries/frameworks (e.g., PyTorch, TensorFlow

🎁 Benefits

• Compensation: $191K - $230K per year
• Equity offered
• Bonus offered
• Open to remote work or work from San Francisco, CA
• Equal opportunity employer
• Accommodations available for application and hiring process