Data scientist

  • 34351
  • Non-Life - Data Science
  • |
  • Quebec, Canada
  • |
  • Oct 24, 2018
Insurance
RESPONSIBILITIES
  • Develop innovative solutions for trend recognition using machine learning and advanced statistics.
  • Transform complex databases into relevant conclusions and recommendations.
  • Keep pace with new approaches and trends and use them in your own solutions.
  • Help maintain our data mining tools and platforms.
  • Make actionable recommendations based on the findings.
  • Communicate the results and performance of the models to Management.
  • Work with other departments to promote the adoption of analytical principles within the organization.
  • Validate the quality of the analytical approach and project outputs of the other team members.
QUALIFICATIONS
  • Proficiency in a relevant discipline.
  • Multi-platform production experience with the following commercial and open-source data mining frameworks:
  • Open-source frameworks: R, Python, GitHub.
  • Expert-level understanding of the underlying theory of machine learning.
  • Expert-level understanding in either computer image analysis, natural language processing or artificial intelligence.
  • 3 years of experience in the field of advanced statistics, data mining and text mining.
  • Proficient in applied analytical techniques, including regression analysis, clustering, decision trees, neural networks, SVM, collaborative filtering, k-nearest neighbour, association rules, and other machine learning techniques.
  • Understanding of algorithmic complexity and scaling of execution times and use of memory with large datasets.
  • Knowledge of data science approaches in understanding the consumer would be an asset
  • Experience working with a Hadoop platform would be an asset.
  • General knowledge of the insurance sector and relevant experience in the area would be an asset.
  • Cooperative teamwork.
  • Ability to focus on vaguely defined issues requiring the application of a creative approach.
  • Strong communication, time management and work organization skills.