Location: Montreal

Data Scientist in Montreal at Eidos Montreal

Eidos Montreal
  • Company:

    Eidos Montreal

  • Type: Full time
  • City:

    Montreal

  • Experience: Intermediate
  • Date of publication: 11 Jun 2019
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Company Description

Eidos-Montréal ™ (un studio Square Enix®) est spécialisé dans la création d'expériences immersives et captivantes. Au cours de la dernière décennie, les équipes de développement ont orchestré les lancements de la nouvelle série DEUS EX®, ainsi que de la dernière itération de la franchise THIEF®. Eidos-Montréal a également joué un rôle clé dans le développement de la série TOMB RAIDER®. Afin de soutenir sa vision créative dans le jeu, le studio a développé sa propre technologie de pointe, le Dawn Engine® permettant des rendus, une animation, des effets physiques en temps réel et une intelligence artificielle avancée. Le studio fournit également un soutien technique pour les opérations de Square Enix dans le monde entier, y compris la recherche et le développement, l'assurance-qualité, et les tests des jeux.


Job Summary

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!

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