Senior Machine Learning Data Scientist

Extend is revolutionizing the post-purchase experience for retailers and their customers by providing AI-driven solutions. The Senior ML Data Scientist will develop machine learning models to detect and prevent fraud, assess risk, and unlock business value.

Responsibilities:

• Own the model lifecycle: requirements, experimentation, model development, evaluation, and model cards, partnering with ML engineers on deployment and production infrastructure
• Translate complex fraud patterns into well-framed ML solutions: defining what to model, what success looks like, and where ML adds value vs. simpler approaches
• Design and maintain feature engineering pipelines for model development
• Monitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrain
• Partner closely with leadership, go-to-market, fraud operations, product, and engineering teams to define and execute effective fraud strategies
• Champion a culture of continuous learning, experimentation, and collaboration across the fraud and broader data science teams