Lead design, procurement, and scaling of Mastercard's on‑premise AI infrastructure to support large‑scale training and low‑latency inference. Define platform standards (compute, storage, networking, cooling), run RFIs/RFPs, partner with data science/MLOps/platform/security/governance, and influence senior leadership on roadmap, vendor selection, and long‑term AI infrastructure strategy.

Design, build, and deploy ML models for ad targeting, ranking, and bidding optimization. Develop large-scale personalization and recommendation systems, attribution and incrementality testing frameworks, and experiment strategies. Partner with product, engineering, and analytics to productionize low-latency models, optimize performance and scalability, and apply causal inference and advanced measurement across the AdTech ecosystem.

The Data Scientist will build predictive models, design data pipelines, conduct analyses, and deploy solutions in a collaborative environment.