Data Scientist

il y a 3 semaines


Gosselies, Belgique ORES Temps plein

Afin de renforcer son équipe dans le cadre de ses activités liées à la Data Science, le Service Monitoring de la Performance des Assets et des Systèmes est à la recherche d’un Data Scientist.

**Votre mission**:
En tant que Data Scientist vous serez amené à:

- créer des modèles et algorithmes qui collectent, stockent, traitent et restituent les données dans de multiples et vastes dimensions (réseaux, marchés,) y compris prédictives afin d’aider l’entreprise à prendre des décisions stratégiques et efficaces.
- grâce à l’analyse des données, dégager les tendances de consommation, de comportement des clients et des systèmes électriques/gaziers etc. par une catégorisation (clustering) à l’aide d’outil mathématique avancé (K-mean, gradient d’intertie de classe ) afin de permettre à l’entreprise d’établir des scénarios d’évolution prospectives des volumes d’énergies, des puissances demandéesainsi que les tendances des marchés de l’énergie et de la flexibilité.
- créer des modèles et algorithmes qui permettent d’explorer de nouveaux concepts notamment en terme de prédiction des flux d’énergie, du lien entre les marchés
- contribuer aux différents projets de l’organisation en remplissant un ou plusieurs rôles définis par les règles de gouvernance (par ex. : expert, contributeur, représentant des utilisateurs, chef d’équipe, responsable de transition ).
- effectuer des requêtes sur les bases de données techniques afin de répondre aux besoins en informations du service
- consolider, analyser, critiquer et diffuser les résultats des algorithmes et modèles
- communiquer les résultats des analyses aux parties prenantes de manière vulgarisée et structurée
- participer à l'adaptation ou l'élaboration des instructions et procédures relatives à la Data Science.

**Compétences/Conditions requises**:

- Vous êtes titulaire d'un diplôme de Master dans un domaine pertinent (Business Intelligence, Computer Science, Data Science, Mathématiques, Statistiques ) ou équivalent par expérience
- Vous avez une expérience dans des langages de programmation tels que Python, Sparx et SQL
- Vous êtes familier avec des algorithmes de Machine Learning (Decision Trees, Random Forest, Clustering ) ou vous êtes prêt à vous former
- Vous disposez de solides compétences en matière d’analyse et de résolution de problèmes ; avec la capacité d’analyser des ensembles de données complexes et d’identifier des modèles / tendances
- L’utilisation de Power BI et Azure Synapse Analytics est un plus
- Une connaissance de la structure des réseaux électriques et gaziers est clairement un plus
- Vous avez une très bonne aptitude à la communication écrite et orale
- Vous faites preuve d'efficacité, de proactivité, de curiosité intellectuelle et de flexibilité ; avec une réelle orientation clients
- Une connaissance passive de l'anglais est indispensable


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