gJobs.ca

Data Science Analyst

Reference Number
EXT22J-023035-000504

Selection Process Number
22-EXT-EA-AC-1035553

Organization
Global Affairs Canada

Year
2022-2023

Days Open
22

Classification
EC04

City
MULTIPLE

Type
External

Quick Summary

Total
209

Employment Equity
133 (63.6%)

Screened out
129 (61.7%)

Screened in
80 (38.3%)

Applicant Submissions (209)

Employment Equity 63.6% 133

Screened Out 61.7% 129

Screened In 38.3% 80

Employment Equity(133)

Women 32.5% 68

Visible minority 49.8% 104

Indigenous 2.4% 5

People with disabilities 6.7% 14

Language

English 74.2% 155

French 25.8% 54

Status

Citizens 53.6% 112

Permanent Residents 0% 0

Archived Job Poster

Data Science Analyst

Reference number: EXT22J-023035-000504
Selection process number: 22-EXT-EA-AC-1035553
Global Affairs Canada - Data Science - SICY
Ottawa (Ontario), Gatineau (Québec)
EC-04
$74,122 to $85,778

Closing date: 4 August 2022 - 23:59, Pacific Time

Who can apply: Persons residing in Canada, and Canadian citizens and Permanent residents abroad.

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

Work environment

The Data Science team (SICY) is looking for a Data Science Analyst at the EC-04 level to join its dynamic and growing team. Focused on experimentation, teamwork and collaboration, we are recognized for our innovative, data-driven approach in assisting programs who have specialized analytics needs or have specific questions that cannot be answered through traditional analytics. The Data Science Analyst will support the organization’s business lines with insights gained from analyzing internal/external and qualitative/quantitative data sets using data science tools and methodologies. The work requires knowledge of data science and its lifecycle, including data capture, data extraction, warehousing, cleansing, processing, mining, predictive analytics, modeling, reporting, visualization and business intelligence.

Intent of the process

A pool could be created to fill similar positions at Global Affairs Canada.

Positions to be filled: 1

Information you must provide

Your résumé.

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

EDUCATION

Graduation with a degree from a recognized post-secondary institution with acceptable specialization in economics, sociology or statistics.

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.
An indeterminate incumbent of a former ES position on June 30, 1967 who became an EC on June 22, 2009, who does not possess the minimum level of education as indicated for Part A above is deemed to meet this minimum educational standard based on his/her education, training and/or experience.

Degree equivalency

EXPERIENCE

1. Significant** experience with data preparation, summarization, analysis, visualization and reporting.
2. Significant** experience with scripting languages such as SQL, Python, R.
3. Recent* experience in the creation and implementation of algorithms and statistical techniques.
4. Recent* experience with text analytics and natural language processing (NLP).

Recent* is defined as experience gained within the last five (5) years.
Significant** is defined as experience normally associated with having performed a broad range of related activities for a period of approximately two (2) years.

If you possess any of the following, your application must also clearly explain how you meet it (other qualifications)

ASSET QUALIFICATIONS

1. Experience working with Azure analytics services (e.g. Databricks, Cognitive Services, Machine Learning).
2. Experience presenting work solutions (e.g. dashboards, reports) to management (i.e. Deputy Director level or above).

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

Various language requirements
English Essential, English or French, Bilingual Imperative BBB/BBB

Information on language requirements

KNOWLEDGE

1. Knowledge of the theories, principles, practices, and methodologies of statistics, Machine Learning, Text Analytics and Natural Language processing (NLP) .
2. Knowledge of theories, principles and research techniques.

ABILITIES

1. Ability to manage multiple priorities in order to meet strict deadlines.
2. Ability to build effective working relationships with partners and stakeholders.
3. Ability to synthesize information from various sources.
4. Ability to analyze problems and develop recommendations.
5. Ability to communicate effectively orally and in writing.

PERSONAL SUITABILITY

1. Client focus
2. Attention to detail
3. Effective interpersonal Relationship
4. Reliability

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

OTHER ASSET QUALIFICATION

Knowledge of techniques of data collection and analysis, evolving information sources and survey methodologies.

OPERATIONAL REQUIREMENTS

Ability and willingness to travel on occasion.
Ability and willingness to work overtime on short notice.

Conditions of employment

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

Preference

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.

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