Data Scientist - (H/F) - En alternance H/F

Le poste

La mission :

Vos missions en tant que Data Scientist
- (H/F)
- En alternance en alternance :
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.

Poste basé à Paris (Île-de-France). Travail en hybride.

Rythme d?alternance et présence en entreprise
Du lundi au vendredi
Périodes de travail de 8 heures
Repos le week-end
Travail en journée

En entreprise : 4 jours par semaine (jours au choix) avec présence réduite à 3 jours 1 à 2 fois par mois
En formation: 1 jour par semaine + 1 jour supplémentaire 1 à 2 fois par mois
Attention ! Cette offre ne s?adresse qu?aux candidats à l?alternance qui effectuent leur formation avec OpenClassrooms. Seules les candidatures répondant à ces critères seront étudiées.

Le profil :

Profil recherché :

Master?s degree student or higher in a quantitative field (Mathematics, Computer Science, Physics, Engineering, Economics, etc.)Available for maximum 6 months, for end of study or gap year internshipOutstanding analytical skills and creative thinking Fluency in the core toolkit of Data Science: Python; SQL/Hive/Presto 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 to work with!

Merci de votre attention.