Location: Montreal

Data Scientist in Montreal at Square Enix Montréal

Square Enix Montréal
  • Company:

    Square Enix Montréal

  • Type: Full time
  • City:


  • Experience: Intermediate
  • Date of publication: 19 Jun 2019
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Company Description

Travailler à Square Enix Montréal c’est travailler dans un environnement lumineux et magnifique avec une vue directe sur le campus de l'université McGill et du Mont-Royal.

La structure latérale de Square Enix Montréal ouvre les communications et les collaborations entre collègues, donnant à chacun la possibilité de soumettre de nouvelles idées et des commentaires, créant ainsi un environnement idéal pour la création et l’innovation. Pas surprenant que Square Enix Montréal soit le lieu de naissance de Hitman GO, Hitman Sniper et Lara Croft GO.

De plus, la proximité de Square Enix Montréal à la station de métro McGill, à la gare centrale de Vial Rail et au terminus d'autobus de Montréal facilite grandement les déplacements domicile-travail.

Job Summary

Job Title: Data Scientist

Reports to: BI Manager


  • Organize and manage information in the decision-making processes of the game teams and the studio;
  • Clean, organise and explore large data sets;
  • Perform in depth analysis to uncover hidden patterns;
  • Develop processes to identify the most relevant data;
  • Create dashboard presentations using Looker;
  • Create classification and prediction models;
  • Implement models for anomaly detection;
  • Develop and implement a machine-learning pipeline and its automation;
  • Develop ad-hoc and custom analysis;
  • Provide reports with insights and recommendations;
  • Collaborate with project analysts to improve information management practices for the live ops teams.

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/Scala/R 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, databases;
  • 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, programming, 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 videogames are essential!

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