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 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.
What they're looking for
- MS/PhD (or equivalent experience) in Computer Science, Statistics, Data Science, or a related field
- 5+ years of experience in machine learning, data science, fraud analytics, or product analytics
- Strong experience developing and evaluating production ML models
- Expert SQL and Python skills
- Experience with Databricks, Spark, AWS Sagemaker, or similar platforms
- Strong understanding of experimentation, statistical analysis, and ML evaluation
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 highly technical Senior Data Scientist to drive machine learning innovation for Socure's Document Verification (DocV) platform. This role combines model development, product analytics, model evaluation, and ML tooling to improve fraud detection, customer experience, and operational efficiency. You will partner closely with Product, Engineering, Fraud Operations, and Data Science to build production ML models, generate actionable insights, and develop scalable evaluation and automation frameworks.
Design, develop, and improve ML...
Browse similar: Startup jobs · San Francisco Bay Area