• Analyze and model large, sometimes complex, datasets, including web traffic, user behavior, engagement funnels, and video and content metadata • Develop and deploy scalable machine learning models for forecasting, user segmentation, and content performance optimization tasks • Design, build, and maintain scalable ETL pipelines and workflows using GCP and BigQuery for data ingestion and transformation • Leverage machine learning and AI techniques to improve decision-making, including experimentation, ranking, scoring and automation use cases • Collaborate with product, business verticals, operations and engineering teams to align initiatives with technical and business objectives and KPIs • Build dashboards and visualizations that provide visibility into performance, tends and opportunities across the business • Translate insights into clear recommendations that influence strategy and prioritization to stakeholders • Optimize queries and workflows in SQL and Python for performance, reliability and efficiency • Continuously evaluate new capabilities and tools to improve efficiency, insight generation and business outcomes