The Data Science & Product Analytics team uses cutting edge technology, advanced statistics and machine learning to tackle some of the most complex Product challenges at Criteo. We help Criteo validate and evolve our products while exploring strategic game-changers to vault Criteo ahead in a fast-evolving media landscape. The team brings data and business expertise to feature teams, a unique understanding of complex Criteo machinery and supports Product Managers to design and build products with difference. We serve as trusted partners to leadership and work closely with Product Managers, R&D, Finance & Business teams. Inside Data Science & Product Analytics: The topics we tackle are wide and always evolving! Support the Measurement and R&D teams to build a comprehensive, practical, and universal measurement framework that frames the way CMOs understand their online marketing efficiency along the entire buyer journey Improve Identity & Privacy solutions by optimizing our capability to recognize users across all their devices and their interactions in the open-internet Work with the Quality Ad Experience team to pivot our user-level personalization engine and delivery rules to contextual and/or audience-based strategy Explore and support the development of our New Marketing Outcomes: Video & CTV, Contextual, and Omnichannel. Build the Buyer Index, a decision support service to improve the performance of digital ad campaigns in meeting clients' goals across all addressability scenarios: addressable, cohort-based, or contextual. Work with the Trading Strategies team, to offer a suite of controls to our advertisers and enhance the performance of our business models: budget, audience, targeting... You enjoy solving real-world problems with data. Our business is built on a quantitative culture. You will be assigned to one or several projects.