- Analyze and interpret metrics like CTR, retention, engagement, and user behavior at an unprecedented scale (100B+ views/month). - Build robust and reproducible analytical workflows to uncover actionable insights. - Validate and optimize measurement methods to ensure accuracy across platforms. - Identify non-obvious correlations, causal relationships, and latent patterns in large, complex datasets. - Translate statistical findings into strategic recommendations for content, product, and growth teams. - Challenge assumptions and propose innovative analytical frameworks. - Design, build, and maintain AI agents that automate routine and complex analytical processes. - Experiment with LLMs, reinforcement learning, and other generative AI techniques to accelerate insights. - Deploy AI solutions in production to improve decision-making speed and accuracy. - Develop end-to-end machine learning pipelines for large-scale data processing. - Ensure code quality, reproducibility, and scalability for production environments. - Continuously monitor, test, and optimize ML/DL models for performance and robustness. - Present findings and strategic recommendations directly to the CEO. - Influence high-level business and content strategy with data-driven insights. - Communicate complex technical results in a clear, actionable manner for non-technical stakeholders.