Data Scientist
Core
Build and deploy machine learning models for fraud detection and pattern recognition to protect customers and the business.
Role type
Senior IC data scientist (fraud detection)
Builds
Production ML models, data pipelines, and real-time APIs for fraud detection
Domain
Insurance / InsurTech / Fraud detection
Deliverable
production ML models
Required skills
Python, SQL, Git, machine learning, statistical modeling, MLOps, data pipeline development, API design
Preferred skills
Cloud platforms (PostgreSQL, Teradata, Hadoop, AWS), CI/CD pipelines, fraud/insurance domain experience, API consumption
Technologies
Python, SQL, Git, PostgreSQL, Teradata, Hadoop, AWS
Responsibilities
Design, develop, test, and deploy scalable ML models; transform complex datasets into actionable insights; maintain and optimize codebases and data pipelines; design and deploy models to real-time APIs; drive delivery accountability for project-based and BAU work
Seniority
Mid-level, hands-on IC
