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Scientifique de Donnees / Data Scientist At Eidos Montreal

Location: Montréal, Quebec

Job Description

// English version will follow //

Titre : Scientifique de données
Relève de : Directrice Intelligence d’Affaires

Responsabilités :
  • Nettoyer, organiser et explorer de vastes ensembles de données;
  • Exécuter des analyses en profondeur afin de détecter les tendances cachées;
  • Mettre en place des processus afin d’identifier les données les plus pertinentes;
  • Créer des modèles de classification et de prédiction;
  • Implanter des modèles de détection d’anomalies;
  • Améliorer les modèles utilisants les techniques ML;
  • Developper des analyses personnalisées et ad-hoc;
  • Fournir des rapports avec des nouvelles idées et des recommandations;
  • Communiquer les resultats par la communication et la visualisation des données.

Profil recherché :

Expérience et qualifications :
  • Msc en Science Informatique, Statistiques, Ingénierie Financière ou tout autre discipline pertinente. PhD préférable;
  • 2-5 ans d’expérience en science des données/machine learning;
  • Expérience en développement Python (préférable) ou Spark/Scala/R, expérience avec Tensorflow avec de bonnes commandes sur les pipelines de données respectives, l’algèbre de matrice et des bases de données statistiques;
  • Expérience en analyse de séries chronologiques et de données séquentielles en utilisant ARIMA, Kalman Filters, HMM, RNN ect;
  • Bonne connaissance d'une variété d'algorithmes et de techniques d'apprentissage automatique;
  • Expérience avec des réseaux deep learning tells que Feed-forward NN, CNN, RNN et des codeurs automatiques avec Tensorflow ou des bases de données, libraries similaires;
  • Bilingue (français et anglais).

Qualités interpersonnelles :
  • Excellentes habiletés de communication et de présentation;
  • Capacité de travailler sur plusieurs taches à la fois;
  • Capable de collaborer avec d’autres départements (conception, art, animation, narration, programmation, gestion, ect.);
  • Être à l’aise dans une équipe motivées par les améliorations constantes;
  • Capacité d’apprentissage rapide et de partage des connaissances avec les autres;
  • Être professionnel, donner et recevoir de la rétroaction constructive.

Motivations & intérets :
De l’ambition et de la passion pour les jeux vidéos sont essentielles!


Title: Data Scientist
Reports to : Analytics & BI Manager
  • Clean, organize and explore large data sets;
  • Perform in depth analysis to uncover hidden patterns;
  • Develop processes to identify the most relevant data;
  • Create classification and prediction models;
  • Implement anomalies detection models;
  • Improve the models using ML Technics;
  • Develop ad-hoc and custom analysis;
  • Provide reports with insights and recommendations;
  • Communicate the results through story-telling and data visualization.

Profile:
Experience and qualifications:
  • MS in Computer Science, Statistics, Financial Engineering or a related quantitative field. PhD preferred;
  • 2-5 years of data science/machine learning experience;
  • Development experience in Python (preferred) or Spark and experience with Tensorflow with good command over respective data pipelining, matrix algebra and statistics libraries;
  • Experience in time series analysis and sequential data using ARIMA, Kalman Filters, HMM, RNN etc.
  • Good knowledge of a variety of machine learning algorithms and techniques
  • Some experience with deep learning networks like Feed-forward NN, CNN, RNN and Auto Encoders with Tensorflow or similar libraries
  • Bilingual (French and English).

Interpersonal Qualities:
  • Strong communication and presentation skills;
  • Able to work on multiple tasks;
  • Able to collaborate with other departments (design, art, animation, narrative, progs., management, etc.);
  • Be at ease in a team driven by constant improvements;
  • Capable of quick-learning and clear communication of what was learned;
  • Maturity to give and receive constructive feedback.

Motivation & interest:
Passion and ambition for video games are essential!