Principal Data Scientist – Content Ranking

8+ years of professional experience in applied machine learning or data science 3+ years in consumer-scale applications Strong proficiency in Python and SQL Experience with SageMaker, Airflow, and DBT (or equivalent ML/data orchestration platforms) Proven track record of training, deploying, and scaling models in production environments Deep understanding of statistical methods for experimental design and A/B testing Experience with real-time inference pipelines and ranking/recommendation systems Ability to distill complex technical insights into clear business recommendations Excellent collaboration skills across product, engineering, and operations

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 Drive innovation by ideating and prototyping new modeling techniques and features Collaborate with the data engineering team to scale data pipelines Provide technical leadership and mentorship to other data scientists and engineers Balance trade-offs between rule-based systems and machine-learned approaches