Senior Machine Learning Data Scientist

About this role

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Data Scientist in United States.
This role sits at the core of a high-impact fraud and risk intelligence function, where machine learning is used to protect millions of users and transactions in a fast-scaling digital ecosystem. You will design, build, and deploy advanced ML models that detect fraud patterns, assess risk, and optimize post-purchase protection systems. The position spans the full data science lifecycle, from problem framing and feature engineering to production deployment and monitoring. You will work closely with product, engineering, and fraud operations teams to translate complex behavioral signals into scalable machine learning solutions. This is a highly collaborative and impact-driven environment where your models directly influence business performance, customer trust, and fraud prevention effectiveness. You will also help shape best practices in experimentation, model evaluation, and production ML systems.


Accountabilities

• Own the end-to-end machine learning model lifecycle, including problem definition, feature engineering, experimentation, training, evaluation, and production monitoring
• Design and develop fraud detection and risk assessment models using large-scale transactional and behavioral datasets
• Translate complex fraud and user behavior patterns into well-defined ML problems and measurable success criteria
• Build and maintain scalable feature engineering pipelines to support production-grade machine learning systems
• Collaborate with ML engineers on model deployment, infrastructure integration, and production readiness
• Monitor model performance in production, identifying data drift, degradation, and retraining needs
• Partner with product, engineering, fraud operations, and leadership teams to define fraud prevention strategies
• Conduct rigorous experimentation to improve model accuracy...