Senior Data Scientist - Fraud Data Infrastructure & Automation
Posted
Tech Stack
Responsibilities
- Design, build, and maintain scalable data pipelines and workflows using distributed systems like Spark or Airflow to support analytics, fraud detection, and model development.
- Leverage agentic AI and LLM-powered systems to automate data exploration, anomaly detection, and investigative workflows for faster insight generation.
- Build and optimize models using diverse input data types including tabular data, natural language, point clouds, and images for fraud detection and identity verification.
- Own data quality and integrity for critical datasets, implementing monitoring, validation checks, and anomaly detection to ensure reliable input to models.
- Collaborate closely with Product, Engineering, and Risk teams to define data requirements, shape roadmap priorities, and deliver insights that guide strategic decisions.
Culture
Continuous LearningCross-Functional TeamsMentorship Program
Requirements
Required: Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field; or equivalent professional experience
Regions: Us
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About Socure
Industry: fintech
Size: medium
Socure is building the identity trust infrastructure for the digital economy, verifying identities in real time and stopping fraud. They hire critical thinkers who act like owners and are driven to solve complex customer problems.
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