Collaborate with global teams including Risk, Fraud, Engineering and Product to deliver world-class data science products to international markets in Latam, South Africa and APAC

Design, build, and deploy machine learning models for a variety of use cases, including fraud detection, credit risk modeling, customer segmentation, collections and churn.

Ensure our delivered ML models are production-ready, optimized for scale and continuously improved based on feedback from our stakeholders and performance in production.

Handle large, complex datasets to clean, preprocess and extract relevant features to improve model accuracy and performance.

Write production-level code with documentation, testing and peer review.

Work with a data-driven mindset and understand the critical importance of handling data properly and safely.

Lead the testing, cost-benefit analysis and integration of new data sources to improve the accuracy and robustness of our ML models.

Work closely with our ML Platform and Tooling team to design and implement scalable feature generation and extraction pipelines and model deployment/monitoring processes.