





Criteo is looking for new talented interns from April 2026! The Product Analytics & Data Science 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. Wondering how is the life in the Product Analytics & Data Science team? Take a peek at : https://careers.criteo.com/en/criteo-life-blog/from-the-inside/live-my-life-with-the-product-analytics-data-science-team/ You will be assigned to one or several projects. 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. Overall, your responsibilities include: * Mine large data sets and turn them into understandable and actionable insights * Build scalable analytic solutions using state of the art tools based on large and granular datasets * Design and execute a stream of analysis and tests to measure the impact of your solutions * Master our internal analytic datasets and reporting tools