Campagne de recrutement de scientifiques des données - Page d'information pour les candidats/Data Science GC

Data Science in the Government of Canada

What is Data Science?

Data Science is an interdisciplinary field that uses scientific methods and algorithms to extract information and insights from diverse data types. It combines domain expertise, programming skills and knowledge of mathematics and statistics to solve analytically complex problems.

You can get a short overview of the daily work of a data scientist in the Government of Canada by watching this video.

The COVID-19 Pandemic: A Stark Reminder of the Crucial Role of Data Scientists

Data science allows government agencies and department to respond quickly to changing economic and social situations. For example, Statistics Canada is using the power of data science to support the COVID-19 response in Canada.

The agency collaborated with Health Canada to visualize the supply and demand information for Personal Protective Equipment (PPE). Before the data visualization could begin, the data needed to be extracted and ingested. The data were coming daily from many different sources (different provincial/territorial governments, other federal departments and private sector companies that had been hired to help source the PPE) and in many different formats (e.g. Word documents, Excel files, PDFs) and required a significant amount of manual work to create standardized reports.

To improve this process, data scientists at Statistics Canada created an algorithm that parses the data into different data entries. Machine learning was used to identify numbers and dates within the text. The structured data were then presented in a PowerBI dashboard that was shared with other government departments to meet their information needs and better understand the supply and demand for PPE in Canada.

Source: Data Science Centre, Statistics Canada, 2022-09-29

Data Scientist Job Profiles in the Government of Canada

Data Science Analyst

Data scientists use data to identify and solve complex business problems. They have an interdisciplinary focus, using techniques and knowledge from a range of scientific and computer science disciplines (for example, economics, statistics, mathematics, predictive analytics, and machine learning) and are generally part of multidisciplinary project teams involving data science engineers, business owners, social scientists, business analysts, project managers, software engineers/designers, and others.