• Build, train, and deploy large-scale machine learning models for real-time content ranking in production • Design and engineer feature pipelines that capture complex user and content signals • Partner with product and engineering to translate business objectives into ML models that drive measurable outcomes • Lead rigorous A/B testing and experiment design, ensuring sound statistical inference and actionable insights • Drive innovation by ideating and prototyping new modeling techniques and features • Collaborate with the data engineering team to scale data pipelines with Airflow, DBT, and AWS SageMaker • Provide technical leadership and mentorship to other data scientists and engineers • Balance trade-offs between rule-based systems and machine-learned approaches, aligning with both product goals and user experience