{"id":2013463,"url":"https://alion.io/job/makingscience-data-science-consultant-cdi-paris-f-h","title":"Data Science Consultant - CDI - Paris - F-H","company":{"id":173837,"name":"Making Science","domain":"makingscience.fr","url":"https://alion.io/company/makingscience","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":43000,"max_usd":83000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"R","optional":false}],"status":"live","first_seen_at":"2026-09-28T12:23:12Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-24T00:10:24Z","board_verified":true,"closed_at":null,"days_open":25,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":25},"description":"Rejoignez notre équipe en tant que Data Science Consultant à Paris. Vous serez au cœur de la révolution de la mesure média, travaillant sur la modélisation économétrique, l'expérimentation et l'incrémentalité, ainsi que le consulting et le data storytelling. Vous aurez un impact direct sur la stratégie d'investissement de grands groupes internationaux et bénéficierez d'un environnement de travail stimulant et collaboratif.\nMissions\nParticiper au développement et à l'optimisation de modèles économétriques open-source, ainsi qu'à la modélisation des effets de saturation et de saisonnalité.\nConcevoir des plans d'expériences rigoureux pour isoler l'impact incrémental réel d'un canal média, et appliquer des modèles de contrôle synthétique.\nTraduire des indicateurs statistiques complexes en recommandations budgétaires actionnables pour les CMOs et directeurs financiers.\nProfil recherché\n* **Formation :** Diplômé d'une Grande École d'Ingénieurs, de Commerce (avec spécialisation quantitative), ou Master 2 en Mathématiques Appliquées, Économétrie ou Statistiques (ENSAE, Dauphine, ISUP, etc.).* **Expérience :** Minimum 2 ans d’expérience professionnelle dans le marketing digital ou domaine équivalent.\n* **Hard Skills :**\n* Maîtrise solide de **Python** ou **R** (la maîtrise des bibliothèques de manipulation de données comme pandas / tidyverse est indispensable).\n* Solides bases théoriques en **statistiques**, **régression linéaire/non-linéaire**, et idéalement en **séries temporelles** ou **inférence causale**.\n* Une première exposition ou une forte curiosité pour les frameworks de MMM (*Robyn*, *Meridian*, *PyMC*).\n* **Soft Skills :**\n* Excellente capacité de vulgarisation : vous savez expliquer la différence entre corrélation et causalité à un public non technique.\n* Rigueur scientifique et esprit critique face aux données publicitaires souvent bruitées.\n* Français et Anglais courants.\n### ** Ce que nous vous offrons**\n* **Un rôle à fort impact :** Vos analyses orienteront directement la stratégie d'investissement de grands groupes internationaux.\n* **Une culture tech & humaine :** Un environnement de travail stimulant, collaboratif, propice à l'innovation, avec des perspectives très rapides d'évolution en 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