The Brookfield Institute is seeking policy-oriented economists or data scientists to support our quantitative research on a part-time, project basis.

These roles will contribute to the Institute’s efforts to build a robust, data-driven picture of innovation and entrepreneurship trends in Canada, and to inform thoughtful public policies that enable Canadians – from different regions, sectors and backgrounds – to seize the opportunities and prepare for the risks in the shift to an innovation-driven economy.

While individuals with expertise and interests relevant to any of our work streams are welcome to apply, at this time we are specifically seeking support for projects within our Skills for an Innovation-Driven Economy work stream. These projects are tackling questions about how skills demands are changing in Canada, and which skills Canadian workers and job seekers will need in the future. They draw on a range of data, including from Statistics Canada and from web-based sources such as Burning Glass Technologies, and on the expertise of multiple partners, including Nesta, a UK-based innovation foundation.

Key responsibilities

These roles will involve one or more of the following activities:

  • Advising on and supporting the development of quantitative research strategies on one or more projects.
  • Conducting a wide range of data analysis activities, both individually and working on project teams, including sourcing data, wrangling, conducting exploratory analysis, modelling, and visualizing data.
  • Communicating findings and contributing to written reports, briefs, articles, and presentations.

Qualifications

Applicants should possess:

  • A graduate degree in economics, statistics, computer science, mathematics, or a similar field (completed or in progress)
  • Strong knowledge of statistical methods and high proficiency with statistical programming in at least one language, such as R or Python
  • Broad knowledge of machine learning approaches
  • Experience working with large datasets
  • Strong oral and written communications skills
  • An interest in informing public policy through robust research


Asset qualifications:

  • Interest in and/or experience with Bayesian Machine Learning
  • Experience with data visualization
  • Experience in public policy

If you are interested, please send a CV / LinkedIn URL and brief email explaining your interest in working with us to Creig Lamb, Senior Policy Analyst (creig.lamb@ryerson.ca), copying Sarah Doyle, Director of Research + Policy (sarah.doyle@ryerson.ca) and Diana Rivera (diana.rivera@ryerson.ca).