Offre d'emploi de Criteo

Product Analytics - Data Scientist

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Product Analytics - Data Scientist
CriteoHybrid - Paris, France, 75CDIn.c.
publiée le 11/02/2025
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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... What you’ll do 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. Overall, your responsibilities include: - Build scalable analytic solutions using state-of-the-art tools based on large and granular datasets - Develop models and conduct data-driven analysis to measure the impact of your solutions - Define, drive and analyze results of experiments, both offline and on-line (e.g. A/B tests) - Identify and quantify opportunities for optimizations and product development - Transform business problems into actionable insights.
compétences
- Master’s degree or higher in a quantitative field (Mathematics, Computer Science, Physics, Engineering, Economics, etc.) - Outstanding analytical skills and creative thinking - Fluency in the core toolkit of Data Science: - Manipulating large-scale data sets - Building data pipelines - Descriptive and predictive modeling - Implementing visualizations, dashboards, and reports - Excellent interpersonal and communication skills, pro-active and independent - Fun to work with! We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we’d love to see your application!​
entreprise
Au service de la découverte, de l’innovation et de la liberté de choix sur l’Internet ouvert Expert mondial en technologie, nous aidons les spécialistes du marketing et éditeurs du monde entier à atteindre leurs objectifs grâce à notre plateforme Commerce Media, leader de son secteur. Nous nous engageons à renforcer notre culture d’inclusion en nous concentrant sur le recrutement, la montée en compétences et la rétention de talents divers et en veillant à ce que nos collaborateurs aient un accès juste et équitable aux opportunités de progression au sein de l’entreprise. Nous sommes convaincus que nous pouvons devenir leader en diversité, équité et inclusion, en encourageant la collaboration et la diversité des points de vue, tout en proposant des expériences, des programmes, des formations et des partenariats en faveur de la sensibilisation et de l’amélioration continue.
conditions de travail
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.
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