Data Scientist - Indaiatuba/SP
Core
Develop and maintain risk-based analytical models for global fraud detection, operational prioritization, and decision making within John Deere Financial.
Role type
Senior IC data scientist (fraud analytics)
Builds
Production fraud detection models and scenario analysis capabilities
Domain
Financial services / Fraud risk analytics
Deliverable
production ML models
Required skills
Python, PySpark, R, SQL, statistical analysis, predictive modeling, machine learning, data preparation, model validation, model monitoring
Preferred skills
Financial services domain knowledge, fraud risk expertise, Databricks, MLflow, cloud-based analytics platforms
Responsibilities
Maintain and enhance risk-based models for fraud detection; Develop analytical methods to address evolving fraud risks; Analyze data to identify patterns and anomalies; Partner with stakeholders to define analytical requirements; Build repeatable data preparation and validation processes; Support model monitoring and documentation; Maintain scenario analysis capabilities; Research analytical methods and industry practices
