Data Scientist

  • 34459
  • Non-Life - Data Science
  • |
  • Ontario, Canada
  • |
  • Dec 12, 2018
Insurance
RESPONSIBILITIES
  • You will propose machine-learning and statistical models for practical applications that impacts millions of customers.
  • You will also mentor and guide your peers in novel approaches and provide peer review for their work.
QUALIFICATIONS
  • An educational background in computer-science or engineering, math, statistics, physics or related field. A minimum of MSc is required and PhD preferred.
  • 5+ years of experience with model development and working with large datasets. This can include experience from any industry or academia.
  • 5+ programming experience in Python or R with good grasp of software engineering standard methodologies such as code-reusability, modularity, use of repos, etc.
  • A growth mindset with versatile skills and able to work through problems from first-principles.
  • A portfolio of projects that demonstrate your ability to draw inferences from data. This includes participation within the broader data science community including competitions or any personal projects with open data.
  • A can-do teammate who is willing to roll-up the sleeves and do whatever is needed to move projects forward. That means at times you will wear different hats and be a project manager, developer, modeler and chief communicator of solutions.
  • Amazing people skills and able to translate and communicate complex algorithms to non-technical individuals. Someone who understands that it is not enough to just have a phenomenal algorithm but meaningful to build an agreement for the solution from different partners.
  • We need someone who is creative, self-motivated and can lead projects independently.