Location: Montreal

HR 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: HR Data Scientist

Reports To: HR Manager

Duties:

  • Clean, organize and explore large sets of HR data;
  • Perform in depth analysis to uncover hidden patterns;
  • Develop processes to identify the most relevant data;
  • Create classification and prediction models;
  • Implement anomaly detection models;
  • Improve the models using ML techniques;
  • Develop ad-hoc and custom analysis;
  • Provide reports with insights and recommendations;
  • Communicate the results through story-telling and data visualization.

Required Experience and qualifications:

  • Msc in Computer Science, Statistics, Financial Engineering or any other relevant discipline;
  • 2-5 years of experience in data science/machine learning;
  • Experience in Python development (preferable) or Spark/Scala/R, experience with Tensorflow with good controls on respective data pipelines, matrix algebra and statistical databases;
  • Experience with the operation of HR tools (Ex : ATS, Workday, OfficeVibe);
  • Experience in time series analysis and sequential data using ARIMA, Kalman Filters, HMM, RNN, ect.;
  • Good knowledge of a variety of machine learning algorithms and techniques;
  • Experience in translating quantitative and qualitative approaches into operational actions;
  • Experience with deep learning networks such as Feed-forward NN, CNN, RNN and automatic encoders with Tensorflow or similar libraries;
  • Bilingual (French and English).

Interpersonal Qualities:

  • Excellent communication and presentation skills;
  • Ability to work on multiple tasks at once;
  • Be at ease in a team driven by constant improvements;
  • Ability to learn quickly and share knowledge with others;
  • Maturity to give and receive constructive feedback.

Motivation and interests:

Passion and ambition for videogames are essential!


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