Who are we?
Credit Valley Conservation is one of Ontario’s 36 conservation authorities dedicated to protecting, restoring and enhancing our local natural environment. We care for the Credit River, its streams and tributaries from the headwaters in Orangeville to the shores of Lake Ontario in Mississauga. We are scientists, engineers, researchers, educators, environmentalists, stewards, planners, foresters, recreation experts and much more. We create connections between people and nature, knowledge and action. We inspire appreciation for the role of nature in keeping people connected, healthy and happy. We’re leaders and explorers. We are professional and we’re inspired. We know our stuff, and we work every day to make a difference.
Who are you?
You want to be part of an organization with an environmental goal. You get up every day and go to work with purpose. You accept that you may not change the world, but you’ll try to make an impact in your corner. You like to partner with skilled people across many professions. It’s as natural for you think about the outdoors as it is to think out of the box. You’re passionate, responsible and approachable. You do what’s right, not just what’s easy. You care, and it shows.
Why work for us?
We offer competitive public sector pay. We’re members of the Ontario Municipal Employees Retirement System - OMERS pension fund. We find time to have fun and celebrate successes. You’ll know your co-workers by name and will make fast friends. You’ll like being at work.
Summary of Functions
This position will support the Real-time Water Quality program in developing and implementing Python and/or R statistical tools for water quality time series analysis.
This position will be remote – the successful candidate will be working from home, however, may need to come to CVC’s head office for meetings.
Eligibility Requirements
- This position is partially funded by Canada Summer Jobs, a Government of Canada program which funds youth job opportunities. Criteria for eligibility is that the successful youth candidate be between the ages of 15 and 30 and be either a Canadian Citizen or Permanent Resident
- Currently pursuing or have completed post-secondary education in water resources/environmental/computer sciences/studies, or related disciplines
- Knowledge of Python and/or R programming languages
- Some understanding of Artificial Intelligence
- Experience in conducting research such as review of literature, statistical analysis, integrated data analysis, and developing computer algorithms
- Basic understanding of Big Data Analysis approaches
- Strong organizational skills
- Strong technical writing and oral communication skills
- Ability to work independently and as part of a team
Summary of Major Tasks
- With the support of senior staff, develop Python and/or R statistical packages for water quality time-series analysis for the data collected at CVC’s Real-time Water Quality Network and simulated using water quality models
- Apply the package(s) on selected water quality time-series for trend and other statistical analyses
- Prepare technical and non-technical report(s) to summarize research methodology and results
- Reach out to external groups working on similar analysis for knowledge exchange