{"id":2023991,"url":"https://alion.io/job/storm-data-scientist-cybersecurite-soc-hf","title":"Data Scientist Cybersécurité / SOC (H/F)","company":{"id":3908479,"name":"Storm Group","domain":"storm-group.fr","url":"https://alion.io/company/storm-5","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":"Security","role_family":"Security","seniority":null,"employment_type":"freelance","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":48000,"max":58000,"currency":"EUR","period":"year","gross":null,"usd_annual":65266},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache 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d'anomalies sur les journaux de sécurité (logs réseau, systèmes, applicatifs)\n▪ La mise en œuvre de l'analyse comportementale des utilisateurs et des entités (UEBA) : détection des comportements déviants, compromissions de comptes\n▪ Le développement de modèles de scoring et de priorisation des alertes afin de réduire le bruit et les faux positifs\n▪ L'analyse des jeux de données de sécurité et l'ingénierie des caractéristiques (feature engineering) sur des données massives et déséquilibrées\n▪ L'évaluation rigoureuse des modèles : métriques adaptées à la détection (précision, rappel, taux de faux positifs), analyse des erreurs\n▪ L'industrialisation et le monitoring des modèles en production, en lien avec les équipes SOC\n▪ La collaboration avec les analystes sécurité pour qualifier les détections et enrichir les modèles\nProfil recherché\nProfil recherché :\n▪ Bac+5 en data science, statistiques, informatique ou cybersécurité\n▪ Expérience confirmée en data science, idéalement appliquée à la sécurité ou à la détection de fraude\n▪ Bonne compréhension des enjeux et du vocabulaire de la cybersécurité (menaces, MITRE ATT&CK, fonctionnement d'un SOC)\n▪ Maîtrise des techniques de détection d'anomalies et de l'apprentissage sur données déséquilibrées\n▪ Capacité à travailler sur de gros volumes de données et à optimiser les traitements\n▪ Esprit d'analyse, rigueur et goût pour l'investigation\nTechnologies utilisées :\nPython · scikit-learn · PyTorch · Détection d'anomalies (Isolation Forest, autoencodeurs) · SIEM (Splunk, Elastic, Sentinel) · MITRE ATT&CK · Spark · SQL · Kafka · MLflow · Docker / 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