• 38811
  • Non-Life - Data Science
  • |
  • Ontario, Canada
  • |
  • Jan 7, 2021
  • Lead a squad of actuaries, data scientists and engineers in the development of meaningful conclusions and recommendations
  • Oversee the development of high performing machine learning and statistical models on very large datasets
  • Oversee the development of novel algorithms and innovative data-driven solutions to solve business problems
  • Help the team excel in the assigned business domain
  • Experience managing a Data Science Team
  • A teacher of technology and business in a team setting
  • Demonstrated ability to mentor team members in all aspects of their duties, communications and leadership
  • Serve as an expert throughout the full DS product lifecycle, from inception to delivery and ongoing monitoring
  • University Degree in Computer Science, Math, Statistics, Physics, Actuarial Science or related field or equivalent. Masters or PhD strongly preferred
  • 2-3 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 (Generalization, Bias-Variance Tradeoff, GLMs, NLMs, etc.)
  • 3-5 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