Associate Data Scientist

  • 35462
  • Non-Life - Data Science
  • |
  • Ontario, Canada
  • |
  • Jul 9, 2019
Insurance
RESPONSIBILITIES
  • Develop data scripts, pipelines, and proprietary software recipes to convert raw data into modelling and deployment formats.
  • Train and test analytical models on the data, using open source and cloud based proprietary software.
  • Assist in communication of the model characteristics and diagnostics to business users.
  • Develop deployment scripts that automate delivery of model scores and results in batch and real time.
  • Maintain the deployed models by running and delivering reports, and debug supporting programs and tools.
  • Engage as assigned.in team activities and presentations that continually improve the knowledge and capabilities of the team.
  • Other duties.
QUALIFICATIONS
  • Post-secondary school education in Computer Science.
  • 0-2 years of experience in a programming role.
  • Qualification in a predictive analytics discipline is an asset, such as the iCAS CSPA.
  • Academic or work experience with Python, R, git, and cloud platforms.
  • Familiarity with API’s, GitLab or GitHub.
  • Familiarity with any of the following tools in a cloud platform is an asset: StreamSets, HUE, Trifacta, RStudio Server, GitLab, RConnect, Shiny, Jupyter Notebooks, Data Robot, and Arcadia Data.
  • Knowledge of statistical techniques and machine learning.
  • Experience with SAS or SQL is an asset.
  • Strong programming skills.
  • Critical thinking, analytical and problem-solving skills.
  • Quick learner, self-motivated, team player with high energy and ability to work independently.
  • Operate in a collaborative manner.
  • Demonstrated commitment to ongoing professional and technical development.
  • Project management skills.
  • Be fun, fair and friendly.