Senior ML Data Scientist

3 Months ago • 3-5 Years • Artificial Intelligence • Data Analyst

Job Summary

Job Description

The Content Creation Technology Group (CCTG) seeks a Senior ML Data Scientist to join a team developing machine learning solutions enhancing player experience, including a project on bots simulating real player competition. The Senior ML Data Scientist will build highly efficient, self-learning systems adapting and evolving over time, pushing the boundaries of AI technology. Responsibilities include creating, validating, and updating ML algorithms and models; identifying, preparing, and analyzing data for training and testing; conducting experiments, statistical analysis, and model refinement; using analytical rigor and statistical methods to analyze large datasets, developing actionable insights; supervising and designing various proofs of concept for predictive/prescriptive AI projects; and collaborating with cross-functional teams. The role also involves researching the latest advancements, documenting and presenting findings, mentoring team members, and possessing strong software engineering skills and experience with distributed computing, Python, PyTorch/TensorFlow, and cloud platforms.
Must have:
  • Develop and utilize ML algorithms
  • Advanced data science techniques
  • Statistical understanding of systems/people behavior
  • Big Data technologies (Hadoop, Cassandra, etc.)
  • Problem-solving using data science
  • Qualitative and quantitative problem assessment
  • Python, PyTorch/TensorFlow
Good to have:
  • Cloud platform knowledge
  • Excellent communication skills

Job Details

Description du poste

Le Groupe de technologie de création de contenu (CCTG) recherche un scientifique en données ML senior pour travailler au sein d’une équipe qui développe des solutions d’apprentissage automatique pour améliorer l’expérience des joueurs, y compris un projet sur les bots qui simulent de vrais joueurs concurrents. Le scientifique principal en données ML créera des systèmes auto-apprenants hautement efficaces qui peuvent s’adapter et évoluer au fil du temps, repoussant les limites de la technologie de l’IA. Rejoignez-nous et soyez à la pointe de l’innovation dans le domaine de l’apprentissage automatique.

Responsabilités principales :

  • Créer, valider, tester et mettre à jour des algorithmes et modèles ML.
  • Identifier, préparer et analyser des données à des fins de formation et de test.
  • Mener des expériences, effectuer des analyses statistiques, affiner et optimiser les modèles.
  • Utiliser la rigueur analytique et les méthodes statistiques pour analyser de grandes quantités de données, en développant des insights exploitables à l’aide de techniques statistiques avancées telles que les modèles statistiques prédictifs, le profilage des utilisateurs/joueurs, l’analyse de segmentation, la conception, l’analyse d’enquêtes et le data mining.
  • Superviser et concevoir diverses preuves de concept pour des projets prédictifs/prescriptifs d’IA.
  • Rechercher de nouvelles méthodes pour modéliser et prédire les comportements et concevoir des expériences pour répondre à des questions ciblées.

Autres responsabilités :

  • Collaborer avec des équipes interfonctionnelles pour définir les exigences et objectifs du projet.
  • Mener des recherches pour rester à jour avec les dernières avancées.
  • Documentation, présentations et partage de connaissances pour communiquer des concepts d’IA complexes à des collaborateurs techniques et non techniques.
  • Encadrer les autres membres de l’équipe.

Qualifications

Formation:

  • Master et/ou doctorat de préférence en mathématiques appliquées, statistiques, apprentissage automatique ou expérience équivalente.

Expérience pertinente :

  • 3 à 5 ans d’expérience complexe et d’expertise approfondie liée au poste.

Compétences principales :

  • Capacité à utiliser et développer des algorithmes d’apprentissage automatique et des méthodes éprouvées connexes.
  • Capacité à utiliser des techniques avancées de science des données.
  • Capacité à utiliser des statistiques pour comprendre le comportement des systèmes et/ou des personnes.
  • Familiarité avec la technologie Big Data (Hadoop, Cassandra, MongoDB, ElasticSearch).
  • Passion pour l’utilisation de la science des données pour résoudre des problèmes.
  • Capacité à évaluer rapidement un problème de manière qualitative et quantitative.

Autres compétences :

  • Compétences en ingénierie logicielle.
  • Familiarité avec le calcul distribué pour entraîner des modèles.
  • Maîtrise de Python et expérience avec des bibliothèques et frameworks tels que PyTorch et/ou TensorFlow.
  • Bonne connaissance des plateformes basées sur le cloud est un atout.
  • Esprit d’équipe avec d’excellentes compétences organisationnelles, de communication et interpersonnelles.
  • Orientation valeur commerciale.
  • Bilinguisme (français, anglais).

Informations supplémentaires

Quoi nous envoyer

  • Votre CV mettant en valeur votre formation, votre expérience, vos compétences et les jeux livrés

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