CALL OUT TO ALL DATA SCIENTISTS

Update: *Please note that the closing date has been extended and education criterion for this process has been updated.

Important messages

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.

Assessment accommodation

Only applications received directly via the System (https://www.canada.ca/en/public-service-commission/jobs/services/public-service-jobs.html) will be accepted. If you require accommodation for any reason, you must contact the HR Advisor listed below before the closing date.

This is not your typical government job poster! The content below is unique … so please read it carefully.
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 your accommodation. All information received in relation to accommodations will be kept confidential.
We are looking for candidates with a grounding in data from across the sciences – accounting, actuarial mathematics, applied finance, computer science, data science/data analytics, demography/population studies, economics, engineering, environmental sciences, epidemiology, finance, geology, mathematics, psychology, statistics or sociology.

Duties

What we’re offering:
• Agile teams: Work alongside experts from many disciplines and collaborate with partners that promote a high-performing, inclusive, team-first development culture.
• Challenging, meaningful work: An opportunity to make an impact on day one and lead on files important to Canadians by contributing to the design, build, and operation of critical systems at scale.
• Work environment: An enabling environment with access to the tools you need to do great work in a modern tech-enabled workspace located a short distance from Parliament Hill.
• Learning and career development: A supportive environment for career progression with development initiatives that provide lots of feedback and opportunities to present findings and recommendations to key decision makers at various management levels.
• Flexible employment: Competitive pay and benefits. Flexible work arrangements that help ensure strong work-life balance.
For example:
• Join the GC InfoBase (https://www.tbs-sct.gc.ca/ems-sgd/edb-bdd/index-eng.html#start) team and work on the development of this online tool, using open-source libraries and standards (such as Bootstrap, webpack, YAML, handlebars.js, D3.js and React) to help Canadians find the latest data on government finance, people and results.
• Join the Central Performance and Impact Assessment Unit in leading the way for the use of linked statistical microdata to develop new insights into how, and how well, federal business innovation and growth support programs work for Canadians.
• Join PSPC and work on analysing its vast data assets to work on projects like using smart building data to minimize our environmental footprint, our procurement datasets to look for evidence of fraud or opportunities for partnering with green suppliers, use machine learning to analyze pay data and much more.

Work environment

The Treasury Board of Canada Secretariat (TBS), Public Services and Procurement Canada (PSPC) and other organizations within the core public administration are looking for dynamic and motivated data scientists with diverse backgrounds to help us do more with our vast data assets.
Would you like to join a new team where bold new ideas are not only welcome, but encouraged? Are you up to the challenge? You will join multi-disciplinary teams using cutting-edge technologies to transform how government plans, operates and reports to citizens.

You’ll fit right in if:
• You engage well with others, internally and externally.
• You have a passion and skill for delivering high-quality code, in languages such as R, SAS, JavaScript, PHP, Python and Go, and may have worked with technologies like NodeJS, React, Angular, Serverless, etc.
• You create structure out of ambiguity and forge a path in new environments.
• You're curious and your humility helps you learn and grow.
• You're in love with solving problems and transforming complex data into simple stories using the right tools to communicate effectively with technical and non-technical audiences alike.
• You love a great challenge, and even more, you love identifying options as solutions.
• You have strong data analysis and/or performance measurement chops.

Intent of the process

Create a pool of data scientists partially qualified for opportunities across the TBS and PSPC and potentially with other organizations within the core public administration with various tenures, languages requirements, operational requirements and/or condition of employments, which may vary according to the position being staffed.

By applying to this process, you consent to your personal application-related information being shared with other government departments interested in staffing similar positions.

You must meet all essential qualifications in order to be appointed to the position. Other qualifications may be a deciding factor in choosing the person to be appointed. Some essential and other qualifications will be assessed through your application. It is your responsibility to provide appropriate examples that illustrate how you meet each qualification. You may also share samples of your work (URLs please) to showcase how you meet the criteria.
If you do not clearly demonstrate how you meet all screening criteria, your application will be rejected. Your application may also be rejected if it has incomplete information. We will not contact you to request information that is missing from your application.

Positions to be filled: 10

Information you must provide

Your résumé.

In order to be considered, your application must clearly explain how you meet the following (essential qualifications)

- Graduation with a degree from a recognized post-secondary institution (the term “degree” refers to a baccalaureate as established by educational authorities) with acceptable specialization in Economics, Sociology or Statistics and an acceptable specialization in one or more of the following areas: accounting, actuarial mathematics, applied finance, computer science, data science/data analytics, demography/population studies, engineering, environmental sciences, epidemiology, finance, geology, mathematics.

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.

Degree equivalency

The following will be applied / assessed at a later date (essential for the job)

Various language requirements
-Bilingual imperative BBB/BBB and CBC/CBC;
-Bilingual non-imperative BBB/BBB and CBC/CBC;
-English Essential;
-French Essential.

Information on language requirements

EXPERIENCE REQUIRED FOR EC-03 STREAM:
- Experience working with data including data management, validation, cleaning, categorizing, database development, data mining, data visualization, or data analysis;
- Experience working collaboratively with multiple stakeholders.

EXPERIENCE REQUIRED FOR THE EC-04 STREAM:
- Experience in large scale+ data analysis including one of the following elements: data management, validation, cleaning, categorizing, database development, data mining, data visualization;
- Experience working collaboratively with multiple stakeholders (internal and external stakeholders).

+ Large scale is based on data records numbering in the thousands or more.

EXPERIENCE REQUIRED FOR EC-03 and EC-04 STREAM:
- Recent** experience using programming languages (such as Python, R, JavaScript, Ruby, SQL, or SAS);
- Experience in undertaking research and analysis to produce reports summarizing empirical findings and presenting the results to management (team lead / Director level / professor).

** Recent is defined as experience normally acquired within the last three (3) years.

EXPERIENCE REQUIRED FOR THE EC-05 STREAM:
- Experience in large scale+ data analysis including two of the following elements: data management, validation, cleaning, categorizing, database development, data mining, data visualization;
- Experience in using statistical methods to make predictions with data;
- Experience in developing and fostering collaborative relationships with internal and/or external stakeholders and partners, representing diverse interests;

+ Large scale is based on data records numbering in the thousands or more.

EXPERIENCE REQUIRED FOR THE EC-06 STREAM:
- Significant*** and recent** experience in data analysis including three of the following elements: data management, validation, cleaning, categorizing, database development, data mining, data visualization;
- Experience in applying statistical methods and developing quantitative methodologies to draw conclusions with data for major projects++;
- Significant*** experience in developing and fostering collaborative relationships with internal and/or external stakeholders and partners, representing diverse interests;

** Recent is defined as experience normally acquired within the last three (3) years.
*** Significant is defined as depth and breadth of experience normally associated with the performance of those duties for a period of approximately two (2) years.
++ A major project is defined as enterprise-wide or data manipulation from multiple organizations (internal and/or external to government).

EXPERIENCE REQUIRED FOR THE EC-05 and EC-06 STREAM:
- Significant*** and recent** experience using programming languages (such as Python, R, JavaScript, Ruby, SQL, or SAS);
- Significant*** experience in undertaking research and analysis to produce reports summarizing empirical findings that are provided to senior management* as strategic advice and recommendations.

* Senior management is defined as Director General level or equivalent and above.
** Recent is defined as experience normally acquired within the last three (3) years.
*** Significant is defined as depth and breadth of experience normally associated with the performance of those duties for a period of approximately two (2) years.

FOR ALL STREAMS:
- Knowledge of programming languages (such as Python, R, JavaScript, Ruby, SQL, or SAS) and techniques used to analyze and present complex data to non-technical audiences.

- Ability to communicate effectively orally;
- Ability to communicate effectively in writing;
- Ability to analyze and present complex data to non-technical audiences using programming languages and related techniques.

- Relationship building;
- Creative thinking;
- Flexibility;
- Reliability;
- Initiative;
- Risk management.

The following may be applied / assessed at a later date (may be needed for the job)

ASSET EXPERIENCES:
- Experience in using machine learning methods to solve problems;
- Experience developing and implementing data models.

Conditions of employment

VARIOUS SECURITY LEVELS:
-Reliability status security clearance;
-Secret security clearance.

Other information

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

We will communicate with you about this process by email. As a result, you must advise the contact person for this process if it changes. Applicants should use an email address that accepts messages from unknown senders (some email systems block such messages).

All applications must be submitted online through the GC Jobs website.

If you do not respond to our communications, we will interpret this as your withdrawal from the process. Acknowledgment of receipt of applications will not be sent; we will only contact candidates when the screening process is completed.
• Candidates must meet the essential qualifications to be appointed to a position.
• Candidates may be required to meet the asset qualifications or the organizational needs, depending on the requirements of the specific position being staffed.
• Please identify clearly for which position(s) you are submitting an application.
• A test may be administered.
• An interview may be administered.
• You must provide proof of your education credentials.
• Reference checks may be sought.
• Persons are entitled to participate in the appointment process in the official language of their choice.

The Public Service of Canada is committed to building a skilled, diverse workforce reflective of Canadian society. As a result, it promotes employment equity and encourages candidates to indicate voluntarily on their application if they are a woman, an Aboriginal person, a person with a disability or a member of a visible minority group.
The Public Service of Canada is also committed to developing inclusive, barrier-free selection processes and work environments. If contacted in relation to a job opportunity or testing, you should advise the Public Service Commission or the departmental official in a timely fashion of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner. Information received relating to accommodation measures will be addressed confidentially.

Preference

Preference will be given to veterans and to Canadian citizens, in that order, 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.