What Success Will Look Like: Design, build, and optimize ML models and solutions - spanning traditional statistical ML, neural networks, and deep learning - to solve real-world problems in large-scale, real-time digital performance analytics. AI-native developer: actively uses AI tools (Claude, Cursor, GitHub Copilot, or equivalent) in daily workflow for coding, debugging, and solution design - not just awareness, but habitual, productive use.