Scientist / Senior Scientist, Ads Systems

- Design and lead offline model evaluation end-to-end (pipelines, frameworks, analysis). - Contribute to ads ML feature and model improvements, collaborating with engineering to put these in production. - Build offline evaluation and simulation models for our ads marketplace. - Accelerate product development through your understanding of the underlying data and your ability to partner with product and technical leaders to provide insights. - Lead experimental design and analysis for your ads domain. - Design science roadmaps and experimentation agendas to determine success of product feature launches. - Domain experience in digital ads systems, including ownership of critical analytic or production pipelines. - 4+ years of industry or academic experience in data science, economics, analytics, or machine learning engineering. - Expertise in data transformation and programming, and proficiency in developing data pipelines through use of Spark, Hive, and Airflow. - Experience with auctions and experimentation in market settings. - Graduate education in a technical field (preferred: rigorous applied training including a graduate degree in economics, statistics, bioinformatics, cognitive science, physics, or similar).