{"id":3796689,"url":"https://alion.io/job/orange-data-scientist-fh","title":"Data Scientist F/H","company":{"id":52882,"name":"Orange","domain":"orange.com","url":"https://alion.io/company/orange-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":99,"open_postings":191,"ghost_share":0.026,"stale_share":0.01,"repost_share":0.283,"time_to_fill_p50_days":10,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Arcueil, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"closed","first_seen_at":"2026-11-05T08:43:08Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-05T15:13:17Z","board_verified":false,"closed_at":"2026-11-05T15:13:17Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Publication date : Nov 05, 2026, 9:37AM\nContract duration : 6 months\nAu sein de NBOA (Next Best Offer Action), vous contribuerez à la conception d’une mesure de la Customer Lifetime Value (CLV), destinée à enrichir nos dispositifs de priorisation des offres.\nDans ce cadre, vous serez amené à:\n- Explorer, préparer et structurer les données clients, afin de cerner au mieux cette notion de CLV\n- Réaliser des analyses pour comprendre les comportements d’achat et de désabonnements de nos clients au cours du temps\n- Concevoir et comparer différentes approches de calcul de la CLV, des méthodes statistiques aux modèles de machine learning\n- Réaliser du feature engineering\n- Collaborer avec les équipes pour intégrer le modèle réalisé dans les dispositifs existants\nVous maitrisez Python, et SQL et vous avez une connaissance solide en statistique et en machine learning.\nVous avez un goût prononcé pour le feature engineering\nVous êtes rigoureux, autonome, pragmatique, et faites preuve d’initiative\nVous rejoignez une équipe de Data Scientists intégrée au Train Perso Reco, au cœur des enjeux business de l’entreprise\nVous évoluerez dans une équipe à taille humaine travaillant en mode agile, vous permettant de vous épanouir dans le monde de la Data Science\nAu sein de l’équipe Offres et Services, vous serez rattaché à l’équipe NBOA, composée de 8 Data Scientists qui travaillent en mode agile dans le Train Perso Reco. 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