Perform hands-on data analysis with large-scale advertising datasets, leveraging our centralized Partner Knowledge Base with hundreds of numeric features and unstructured data and Andes data infrastructure Collaborate with the MLOps engineering team to deploy models, and with Data Engineering to create curated datasets that power science and analytics efforts. Design, prototype, validate, and productionize ML models across science domains: Predictive/Supervised (e.g., propensity models, deep learning, reinforcement learning), Causal Measurement (A/B tests, causal inference studies), and Text Analytics/LLMs (signal extraction, model explainability, Gen-AI application).