Data Scientist
Finfrog · Paris, France · Technologie et ingénierie
Criteo · AdTech & MarTech · Paris
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Build scalable analytics solutions and develop data-driven models to measure product impact and optimize advertising solutions.
Lu dans le texte de l'annonce par un modèle de langage le 14 septembre 2026 — indicatif, vérifiez sur l'annonce d'origine.
TheData Science &ProductAnalytics teamusescutting edge technology,advancedstatistics andmachinelearning totackle some ofthe most complexProduct challengesat Criteo.
Wehelp Criteovalidate and evolve our productswhileexploring strategic game-changersto vault Criteo ahead in a fast-evolving media landscape. The team bringsdata and business expertiseto feature teams, a unique understanding of complex Criteo machinery and supports Product Managers to design and build productswith difference.
We serve as trusted partners to leadership andwork closelywith ProductManagers, R&D, Finance&Business teams.
InsideData Science &Product Analytics:
The topicswe tackle are wide and always evolving!
Support theMeasurementand 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
ImproveIdentity & Privacy solutionsby optimizing our capability to recognize users across all their devices and their interactions in the open-internet
Work with theQuality Ad Experienceteam 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, andOmnichannel.
Build theBuyer 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 theTrading Strategiesteam, to offer a suite of controls to our advertisers and enhance the performance of our business models: budget, audience, targeting...
Whatyou’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,yourresponsibilities include:
Build scalable analytic solutions using state-of-the-art tools based onlarge and granulardatasets
Developmodels and conductdata-drivenanalysis to measure the impact ofyour solutions
Define, drive and analyzeresults ofexperiments, 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.
NB: Please send us a resumé in English
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!
Criteo is a leader in commerce media, helping brands, agencies, and publishers create meaningful consumer connections through AI-powered advertising solutions. We’re shaping a more open and sustainable digital future for advertising.
At Criteo, our culture is as unique as it is diverse. From our offices across the globe or from the comfort of home, our 3,600 Criteoscollaborate together to build an open, impactful, and forward-thinking environment.
We foster a workplace where everyone is valued, and employment decisions are based solely on skills, qualifications, and business needs—never on non-job-related factors or legally protected characteristics.
🏢 Ways of working – Our hybrid model blends home with in-office experiences, making space for both.
📈 Grow with us – Learning, mentorship & career development programs.
💪 Your wellbeing matters – Health benefits, wellness perks & mental health support.
🤝 A team that cares – Diverse, inclusive, and globally connected.
💸 Fair pay & perks – Attractive salary, with performance-based rewards and family-friendly policies, plus the potential for equity depending on role and level.
Additional benefits may vary depending on the country where you work and the nature of your employment with Criteo.
Publiée le 18 mars 2026 · vue pour la première fois le 7 septembre 2026
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