{"id":2007888,"url":"https://alion.io/job/visian-data-scientist-experimente-marseille","title":"Data Scientist - Expérimenté - Marseille","company":{"id":3908419,"name":"Visian","domain":"visian.tech","url":"https://alion.io/company/visian","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":null,"employment_type":"freelance","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Marseille, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":40000,"max":44000,"currency":"EUR","period":"year","gross":null,"usd_annual":49512},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embeddings","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-29T14:55:19Z","employer_posted_date":null,"last_verified_at":"2026-09-29T14:55:19Z","board_verified":false,"closed_at":null,"days_open":24,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":24},"description":"MissionVous développez des modèles et des solutions data pour mieux comprendre les parcours clients, améliorer la conversion et personnaliser l’expérience digitale.\nVos principales responsabilités :\nSegmenter les utilisateurs selon leurs comportements, leurs intentions et les points de friction rencontrés dans le parcours.\n\nConcevoir des systèmes de recommandation de contenus, services et offres complémentaires, en combinant plusieurs approches selon les données disponibles.\n\nDévelopper des modèles prédictifs de conversion, d’abandon, de churn et de progression dans le funnel, ainsi que des prévisions de volumes.\n\nConstruire des modèles d’attribution multi-touch pour mesurer la contribution des différents points de contact et évaluer l’impact des actions menées.\n\nExplorer les usages des LLM pour interpréter les résultats analytiques, détecter les irritants et proposer des recommandations aux équipes métier.\n\nIndustrialiser les travaux data : transformer les prototypes réalisés dans Jupyter en modules Python maintenables et en pipelines automatisés, documentés et testés.\n\nProfil recherché\nProfil recherchéVous maîtrisez le machine learning supervisé et non supervisé, les statistiques avancées et le feature engineering. Vous avez une expérience concrète en segmentation, scoring ou modélisation prédictive. Une pratique des systèmes de recommandation, de l’attribution multi-touch (Markov, Shapley) et du forecasting est attendue.\nVous disposez d’un excellent niveau en Python : programmation orientée objet, modularité, qualité du code et passage du prototype à une solution industrialisable. Vous maîtrisez également SQL et savez présenter des résultats complexes sous forme d’enseignements clairs et exploitables.\nUne expérience des LLM, du NLP et des embeddings, ainsi qu’une connaissance des parcours clients, des KPI de conversion et de l’UX ou Web analytics, seront particulièrement utiles. 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