Data Scientist

  • 39218
  • Non-Life - Data Science
  • |
  • Quebec, Canada
  • |
  • Jan 21, 2021
Insurance
RESPONSIBILITIES
  • Transformation of very large and complex datasets into meaningful conclusions and recommendations
  • Build high performing machine learning and statistical models on very large datasets
  • Develop novel algorithms and innovative data-driven solutions to solve business problems
  • Implement and help enhance existing ML pipeline, framework and modelling packages used by the team
  • Building and maintaining good quality code and help iteratively develop software to increase efficiencies
  • Show strong interest and understanding of the assigned business domain
QUALIFICATIONS
  • University Degree in Computer Science, Math, Statistics, Physics, Actuarial Science or related field or equivalent. Masters or PhD strongly preferred
  • 1-2 years of programming experience preferably in Python with strong grasp of software engineering standard methodologies such as code-reusability, modularity, use of repos, etc.
  • 3-5 years of experience of building machine learning models for business applications
  • Advanced level understanding of machine learning fundamentals and model development principles
  • 2-3 years experience with ML/AI technologies, such as scikit-learn, Keras. TensorFlow, PyTorch
  • Experience mining IoT sensor data or Telematics data will be considered an asset
  • Experience with Big Data Technologies such as Spark, Databricks, Scala will be considered an asset