{"id":2026925,"url":"https://alion.io/job/mpdata-data-scientist-hf","title":"Data Scientist - H/F","company":{"id":3908694,"name":"MP Data","domain":"mpdata.fr","url":"https://alion.io/company/mpdata","size_band":"51-200","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":["Boulogne-Billancourt, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":40000,"max":null,"currency":"EUR","period":"year","gross":null,"usd_annual":45011},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Plotly","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Streamlit","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-09-30T09:28:28Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-11T19:39:28Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Rejoignez MP DATA, une entreprise spécialisée dans l'intelligence artificielle et la data science. En tant que Data Scientist, vous serez responsable du développement de modèles avancés et de leur intégration dans des pipelines de production. Vous travaillerez en étroite collaboration avec les Data Engineers, ML Engineers et les équipes métier. Vos missions incluront le développement et la modélisation, la qualité, les tests et la documentation, l'intégration et la collaboration, ainsi que la veille technologique et l'innovation. Vous devez avoir au moins 1 an d'expérience en Data Science et une solide base en mathématiques appliquées, statistiques et apprentissage automatique.\nMissions\nConcevoir, développer et optimiser des modèles de machine learning, deep learning ou de modélisation mathématique.\nEffectuer des tests unitaires, tests de performance et validation des modèles, et participer aux phases de test, recette et mise en service.\nAssurer une veille continue sur les méthodes IA, les frameworks ML/DL, et les bonnes pratiques de modélisation.\nProfil recherché\nDiplômé(e) d’une grande école d’ingénieur (Centrale, Mines, Supaero, Supelec, INSA, ISAE, etc.) ou équivalent, vous disposez d’au moins 1 an d'expérience en Data Science et d’une solide base en mathématiques appliquées, statistiques et apprentissage automatique.Vous êtes reconnu(e) pour :\n* Votre rigueur scientifique et votre capacité d’analyse.\n* Votre autonomie, votre curiosité et votre sens de l’initiative.\n* Votre capacité à vulgariser vos travaux auprès de profils techniques ou métier.\n* Votre goût pour la résolution de problèmes complexes dans des environnements industriels.\n* Votre esprit d’équipe et votre envie de contribuer à des projets concrets.\n* * *\n### Compétences techniques\n* Très bonne maîtrise de **Python** (écosystème : NumPy, Pandas, Scikit-learn, TensorFlow / PyTorch).\n* Solides bases en **machine learning**, **deep learning**, statistiques et modélisation mathématique.\n* Connaissances en **R**, **C++** ou **C#** (un plus selon projet).\n* Bonne compréhension des environnements de données et des bonnes pratiques de développement.\n### **Souhaitées**\n* Expérience avec des frameworks ML/DL avancés (HuggingFace, XGBoost, LightGBM, etc.).\n* Capacité à travailler en équipe et esprit d’équipe\n* Connaissance des **méthodologies Agile**.\n* Appétence pour les environnements Cloud (AWS, GCP, Azure).\n* Familiarité avec des outils de **dataviz** (Plotly, Power BI, Streamlit…).\n* Connaissance du secteur industriel ou aéronautique.\n### **Appréciées**\n* Capacité d’auto-formation rapide.\n* Intérêt pour le NLP, la vision par ordinateur ou les modèles génératifs.\n* Solide expérience en modélisation mathématique, machine learning, deep learning\n* Maîtrise du français et bonne maitrise de l’anglais","description_format":"text","description_chars":2806,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"French","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"France","iso":"FR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-07T13:30:15Z"}],"visa":[],"liveness":{"score":84,"band":"hot","label":"Hiring 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