{"id":1785481,"url":"https://alion.io/job/rolex-data-scientist-hf","title":"Data Scientist (H/F)","company":{"id":37592,"name":"Rolex","domain":"rolex.com","url":"https://alion.io/company/rolex","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Geneva, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":83000,"max_usd":209000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1839},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Polars","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Seaborn","optional":false},{"name":"Matplotlib","optional":true}],"status":"live","first_seen_at":"2026-10-03T02:00:00Z","employer_posted_date":"2026-10-03","last_verified_at":"2026-10-06T20:32:29Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Introduction\nAu sein de la division Production, vous mettez la data science au service de la performance industrielle, de la maîtrise des procédés et de la qualité. Vous intervenez sur des projets à fort impact opérationnel, en lien direct avec les équipes terrain, notamment sur des problématiques de process, de contrôle, avec entre autres l’utilisation de la vision.\nPrésent sur trois sites de production, le rôle demande à la fois une solide capacité d’analyse et de réalisation technique, mais aussi une vraie aptitude à comprendre les enjeux métier, à créer de l’adhésion autour des projets et à rendre accessibles des sujets parfois complexes.\nResponsabilités\nRôle et responsabilités :\nRecueillir et analyser les besoins métiers pour les transformer en cas d’usage data science ou machine learning.\nConcevoir des modèles pour répondre à des enjeux tels que, la détection d’anomalies, l’aide au diagnostic, l’amélioration du contrôle qualité\nAssurer l’industrialisation, le suivi de performance et la maintenance des solutions en production.\nRestituer les analyses de manière claire et formuler des recommandations utiles à la décision.\nContribuer à la diffusion des bonnes pratiques, à l’innovation et au développement de la culture data au sein de l’organisation.\nCompétences techniques :\nExcellente maîtrise de Python et de l’écosystème associé : PyTorch, NumPy, Pandas, Polars, scikit-learn, MLflow, Seaborn, etc.\nCapacité à construire des approches analytiques rigoureuses, dans une démarche scientifique et orientée résolution de problèmes.\nBonne compréhension des enjeux d’industrialisation des modèles : qualité de code, tests, versioning, documentation, maintenance.\nMaîtrise des bonnes pratiques de développement logiciel : Qualité de code, Tests,gestion de version avec GIT, travail collaboratif\nLa connaissance de Dataiku constitue un atout\nProfil\nDiplômé(e) d’un Master / MSc en Informatique, Data Science, Statistiques ou domaine équivalent.\nMinimum 5 ans d'expérience en data science ou machine learning, idéalement dans un environnement industriel ou de production.\nVous savez rendre accessibles des sujets techniques complexes.\nVous faites preuve d’écoute, de curiosité, de rigueur et d’autonomie.\nVous êtes proactif(ve), orienté(e) solutions et aimez faire avancer les sujets de manière concrète.\nConclusion\nNous vous offrons un environnement stimulant, d’excellentes conditions de travail, des solutions de flexibilisation du temps de travail et des prestations sociales de premier ordre.\nNous vous remercions d'adresser un dossier de candidature complet (CV, lettre de motivation, certificats et diplômes).","description_format":"text","description_chars":2632,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"French","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Watches","Luxury Goods & Designer Brands"],"lifecycle":[{"event":"open","at":"2026-10-03T17:24:55Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":17,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-10-06T05:45:30Z"},"pay":null,"html_url":"https://alion.io/job/rolex-data-scientist-hf","json_url":"https://alion.io/job/rolex-data-scientist-hf.json","meta":{"generated_at":"2026-10-06T23:15:32Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per 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