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Scientifique de donnees RH / HR Data Scientist At Eidos Montreal

Location: Montréal, Quebec

Job Description

<-English version follows->

Titre:
Scientifique de données RH
Relève de: Gestionnaire RH

Fonctions:
  • Nettoyer, organiser et explorer de vastes ensembles de données RH;
  • 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.

Expériences et qualités requises:
  • Msc en Science Informatique, Statistiques, Ingénierie Financière ou tout autre discipline pertinente;
  • 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 avec le fonctionnement des outils RH (Ex : ATS, Workday, OfficeVibe);
  • 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 pour traduire les approches quantitatives et qualitatives en action opérationnel;
  • 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;
  • Être à l’aise dans une équipe motivée 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.

Motivation et intérêts :
De l’ambition et de la passion pour les jeux vidéos sont essentielles!


-

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!