Data Analyst - Project / Remote (Victoria)

Data Analyst - Project / Remote (Victoria)

06 Oct
|
Employment and Social Development Canada
|
Victoria

06 Oct

Employment and Social Development Canada

Victoria

Environment and Climate Change Canada- Science and Technology Branch It is expected that the student will work 15 hours per week, November 2026 to October 2027 25.17 to $31.69 per hour Persons residing in Canada and Canadian citizens residing abroad.Be recognized as having full-time student status at an accredited Canadian post-secondary academic institution (this includes students with a disability deemed to have full time status). Be enrolled in an academic program that requires research as part of the curriculum.

- Develop and update model evaluation programs in python, comparing HTAP multi-model output to measurements and reanalysis datasets of traditional air pollutants and short-lived climate forcers.
- Compute model performance metrics and investigate reasons for model biases.
- Produce figures and tables for scientific publications.
- If time allows, investigate other scientific topics with the HTAP datasets, such as aerosol-cloud interactions, radiative forcing, health impacts, source attribution, etc. The students will work on multi-model data evaluation and analysis in the context of the Task Force on Hemispheric Transport of Air Pollution (HTAP, htap.HTAP is an international scientific cooperative effort to improve the understanding of intercontinental transport of air pollution. HTAP3 multi-model experiments, include “OPNS” on ozone, particulate matter, and deposition, and “Fires” on multi-pollutant wildfire impacts.



The students will download and analyze model output and measurements from several sources using ECCC’s supercomputer resources. They will compare atmospheric model output to several measurement-based datasets to determine model performance of air pollutant distributions and related variables. They will also intercompare models’ future projections of air pollution under various scenarios, and come to conclusions related to model performance, reasons for model biases, suggestions for improvement, and degree of confidence in model predictions. Hold a Bachelor of Science degree and be registered as a graduate student at a Canadian University.

Experience with Linux/Unix operating system Experience with programming in python Experience with version control, such as gitlab Ability to effectively communicate in English, both verbally and in writing Language requirements (essential for the job) The Public Service of Canada is committed to building a skilled and diverse workforce that reflects the population it serves. We promote employment equity and encourage you to self-declare if you belong to one of the designated employment equity groups when you apply. Selection may be limited to members of the following employment equity groups: Indigenous (Aboriginal) peoples, persons with disabilities, visible minorities, and women.

Preference will be given to veterans first, followed by Canadian citizens and permanent residents, with the exception of jobs located in Nunavut or Yukon. For positions located in Yukon, qualified Yukon First Nations will be appointed first, followed by qualified Indigenous persons.

📌 Data Analyst - Project / Remote (Victoria)
🏢 Employment and Social Development Canada
📍 Victoria

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