Socure is the leading AI-powered identity verification platform trusted by 3,000+ customers to verify consumers, businesses, & employees with confidence. Backed by Accel.
About the role
We are seeking a skilled and motivated Staff Data Scientist to join our Fraud & Risk Data Science team. As an advanced-level individual contributor, you will design, build, and optimize advanced DS/ML models that power our core fraud detection and risk management solutions. You will lead technical initiatives, mentor peers, and drive functional productivity and project success.
What they're looking for
- 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/RNNs, and graph learning)
- 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)
More about this role
Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.
We are seeking a skilled and motivated Staff Data Scientist to join our Fraud & Risk Data Science team. As an advanced-level individual contributor, you will design, build, and optimize advanced DS/ML models that power our core fraud detection and risk management solutions. You will lead technical initiatives, mentor peers, and drive functional productivity and project success. You will work hands-on with advanced deep learning models, driving delivery of impactful solutions for fraud detection, risk management, and identity verification. This...
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