We are committed to providing an inclusive and barrier-free work environment, starting with the hiring process. If you need to be accommodated during any phase of the evaluation process, please use the Contact information below to request specialized accommodation. All information received in relation to accommodation will be kept confidential.
The ability to communicate in writing in a concise manner will be assessed throughout the application.
Please note that this staffing process is seeking candidates for Stream 1 (Junior Data Analyst) and Stream 2 (Junior Data Scientists). We want to highlight that it will be important to indicate for which Stream you wish to be considered in the application questionnaire.
Stream 1: Data Analyst: This role involves analyzing large datasets to identify trends and derive insights, utilizing both qualitative and advanced quantitative methods to support socio-economic research and analysis, and effectively communicating key findings to stakeholders.
Stream 2: Data Scientist: This role tackles complex business challenges by designing, implementing, and testing machine learning algorithms, while leveraging advanced techniques like data mining and predictive modeling to extract actionable insights and drive data-driven decision-making.
The Federal Public Service is stronger and most effective when we reflect the diversity of the Canadian population we serve. Employment and Social Development Canada (ESDC) is dedicated to building and promoting a diverse, equitable and inclusive workforce, representative of Canadian society. All candidates who believe they are qualified are encouraged to apply, including Black, other racialized and Indigenous peoples, women, persons with disabilities and persons of the 2SLGBTQIA+ community.
These positions support hybrid work, offering the employee an opportunity to perform a combination of onsite and offsite work under an annually reviewed work arrangement, with the on-going objective to balance operational requirements with employee individual circumstances and work preference. Employment and Social Development Canada (ESDC) operates under Treasury Board Secretariat’s “Direction on prescribed presence in the workplace”.
www.canada.ca/en/government/publicservice/staffing/direction-prescribed-presence-workplace.html
**VERY IMPORTANT NOTE**
It is the responsibility of the candidate to clearly outline that they meet each of the screening criteria (i.e. Education and Experience Qualifications, both Essential and Assets) by RESPONDING TO THE SCREENING QUESTIONS IN THE ONLINE APPLICATION. Please note that it is not sufficient to only state that the requirement is met or to provide a listing of current responsibilities; rather, the candidate must provide concrete examples that illustrate how they meet the requirement. Lack of EXAMPLES and DETAILS may result in your application being rejected as the Assessment Board will have insufficient information to determine whether or not you meet the qualifications.
The mission of the Employment and Social Development Canada, including Labour and Service Canada, is to build a stronger, more competitive Canada, to support Canadians in making choices that help them live productive and rewarding lives, and to improve Canadians’ quality of life.
A pool of partially or fully qualified candidates may be established from this selection process and may be used to staff positions with similar requirements within Employment and Social Development Canada.
Positions to be filled: Number to be determined
Your résumé.
EDUCATION
Graduation with a degree from a recognized post-secondary institution, obtained by June 30, 2025, with acceptable specialization in economics, sociology or statistics.
Candidates must always have a degree. The courses for the specialization must be acceptable and may have been taken at a recognized post-secondary institution, but not necessarily within a degree program in the required specialization. The specialization may also be obtained through an acceptable combination of education, training and/or experience.
ESSENTIAL EXPERIENCE
All Streams
1. Experience working with structured or unstructured data sets to test hypotheses, build models and guide evidence-informed decision-making.
2. Experience in writing reports, summaries, presentations, or briefing material to present findings resulting from research or analysis.
3. Experience in analyzing large volumes of data using statistical or analytical tools such as Python, R, SAS, SPSS, etc., to determine key findings and draw appropriate conclusions.
Stream 2
1. Experience in developing, implementing, and testing various machine learning algorithms to perform regression, classification, or clustering (e.g., linear regression, decision trees, ensemble techniques, or K-nearest neighbour).
Various language requirements
• English essential
• French essential
• English or French essential
• Bilingual imperative (BBB/BBB)
Information on language requirements
KNOWLEDGE
Stream 1
1. Knowledge of qualitative or advanced* quantitative methods to conduct socio-economic research or analysis.
Stream 2
2. Knowledge of advanced* quantitative methods such as data mining, predictive modeling, or machine learning.
*Advanced quantitative methods refer to multivariate analysis including regression analysis, factor analysis, and other related methods.
ABILITIES
All Streams
1. Ability to communicate orally in a concise manner.
2. Ability to communicate in writing in a concise manner.
3. Ability to analyze client’s need and transform them into a structured solution.
ASSET QUALIFICATIONS
EDUCATION
All Streams
Completion of a master’s degree with specialization in economics, sociology or statistics from a recognized post-secondary institution.
Notes:
Candidates must always have a degree. The courses for the specialization must be acceptable and may have been taken at a recognized post-secondary institution, but not necessarily within a degree program in the required specialization. The specialization may also be obtained through an acceptable combination of education, training and/or experience.
EXPERIENCE
All Streams
1. Experience in using advanced statistical and mathematical skills, including machine learning and algorithm development.
2. Experience in applying data governance standards to ensure data quality, integrity, and security.
3. Experience in evaluating data sources and structures to support organizational needs.
4. Experience in using tools for project management such as Azure DevOps or Jira.”
5. Experience in summarizing key insights helping non-technical team members to understand the data's implications.
6. Experience with tools like Tableau, Power BI, or similar platforms for creating visual reports and dashboards to communicate insights effectively.
7. Experience in geospatial analysis or in geocoding and generating interactive maps.
8. Experience in modeling data for visualization.
9. Experience in developing and implementing artificial intelligence solutions.
10. Experience in statistical and quantitative analysis of large administrative or survey data sets (cross-sectional, time-series, or longitudinal data).
KNOWLEDGE
All streams
Knowledge of major socio-economic trends and issues in Canada, as well as current government and Employment and Social Development Canada (ESDC) priorities as they relate to those issues and trends.
Employment and Social Development Canada is committed to Employment Equity (EE). In order to achieve a representative workforce, selection may be based on qualified candidates self-declaring as belonging to one or more of the following EE designated groups: Indigenous peoples, persons with disabilities, women and visible minorities. We encourage you to indicate if you belong to one or more of the designated groups by completing the EE section in your application.
Reliability Status security clearance
Secret security clearance
The Public Service of Canada is committed to building a skilled and diverse workforce that reflects the Canadians we serve. We promote employment equity and encourage you to indicate if you belong to one of the designated groups when you apply.
Information on employment equity
Candidates will be contacted and invited to assessments via email. It is imperative that you provide a valid email address that accepts email from unknown users (some messaging systems block these types of correspondence). Candidates are responsible for checking their emails, as well as their junk emails, regularly. In addition, you need to inform us of any changes to your contact information. If you fail to follow these recommendations, you may be eliminated from the selection process.
Volume management strategies could be applied at any stage of the process to identify applicants for further consideration, such as asset qualifications, top-down and/or random selection.
Preference will be given to veterans first and then to Canadian citizens and permanent residents, with the exception of a job located in Nunavut, where Nunavut Inuit will be appointed first.
Information on the preference to veterans
We thank all those who apply. Only those selected for further consideration will be contacted.