• Drive marketing efficiency, attribution, and experimentation efforts through tools like customer lifetime value modeling, media mix attribution modeling, and causal impact assessments of marketing strategies. • Lead internal marketing effectiveness measurement and estimation approaches. • Be responsible for leading projects from start to finish — making key decisions on both implementation and scope while balancing technical and business goals. • Design and conduct experiments to estimate the impact of marketing and product strategies. Create scale by leading a systematic marketing and product experimentation program. Contribute to product experimentation via expert level experimental design, assessment, and collaboration with product managers. • Work with data engineering and analytics teams to build scalable and durable machine learning to data analytics pipelines that enable marketing and product experimentation operations. • Optimize to continuous product feedback loops — you understand that data product development is the practice of a continuous lifecycle of measurement, analysis, modeling, and hypothesis testing. • Maintain a high technical bar by mentoring other members, participating in code reviews, and ensuring quality in production systems. Level up others around you via effective technical mentoring. • Work with engineering teams to design and architect predictive feedback mechanisms for digital ad networks and add new features to our in-house experimentation engine. • Be on the cusp of new developments in marketing data science tech and drive operational changes in marketing that are cutting edge. • Create scalable approaches and tooling that allow others on the data team to undertake product experimentation without your direct input.