Senior Applied Scientist-Measurement

The Trade Desk is a global technology company and the world’s leading independent platform for digital advertising, with nearly 4,000 employees across more than 30 offices. Our technology helps advertisers reach the right audiences across the open internet — from streaming TV and podcasts to mobile apps, news, and more.  Advertising powers the content people love. By making it more transparent, effective, and responsible, we help support trusted journalism, quality entertainment, and creators worldwide. The world’s brands and agencies rely on us to reach their customers and grow their businesses responsibly. The scale of our platform brings unique technical challenges — from processing massive datasets in real time to building systems that operate reliably on a global scale. When you work here, your impact is worldwide. We welcome diverse perspectives, encourage curiosity, and build teams that learn from one another. If you’re driven to solve meaningful challenges, we’d love to meet you. Applied scientists at TTD work closely with engineering throughout the lifecycle of the product,from ideation to production and monitoring. Our applied scientists are end-to-end owners. Youwill participate actively in all aspects of designing, researching, building, and delivering data-focused products for our clients and traders.Bringing objective, transparent measurement to the open internet is core to TTD’s strategy, andretail conversion data is an essential part of that. This role owns that data. This particular role isresponsible for the research and application of state-of-the-art statistical and modelingtechniques to solve measurement problems centered around retail conversion data. This rolewill be the team’s expert on retail data — understanding the ins and outs of every source weuse, how each is collected and where it can mislead, and owning the statistical integrity of thesedatasets end to end. Day to day, this role will explore new data sources, build new-buyer andconversion reports, project and scale attributed numbers up and down defensibly, imputemissing data, monitor data quality, and reason carefully about how retail data behaves insidevarious measurement models. The work of this role ensures our retail measurement solutionsare statistically sound and robust, and it helps steer product decisions toward methods that holdup.   The main job directions include:- Own our retail conversion datasets end to end — be the team’s expert on these sources, howthey are collected, and where they can mislead.- Explore and process data from a variety of retail sources, building the datasets and pipelinesthat downstream measurement relies on.- Apply rigorous statistics to scale and project our measurement numbers, impute missing data,and produce new reports — always with careful attention to bias and uncertainty.- Monitor data quality and the stability of our metrics, distinguishing real shifts from noise.- Reason about how retail data feeds conversio...