Senior Data Scientist

Important messages

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Assessment accommodation

Work environment

The Data Science team (SICY) is looking for a Senior Data Scientist at the EC-05 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 Senior Data Scientist 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 in 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

E1: Recent* and significant** experience using data analysis and modeling tools (e.g., R, Python).
E2: Recent* and significant** experience working with large structured and unstructured data sets to test, hypotheses, build models and guide evidence-informed decision-making.
E3: Significant** experience in communicating the results of analyses through reports, briefings and presentations to management and relevant stakeholders.
E4: Significant** experience in leading multi-disciplinary team projects

Recent* experience is defined as experience within the last 5 years.
Significant** experience is defined as the depth and breadth of experience normally associated with full-time performance of duties for a minimum period of 2 years within the last 3 years.

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

ASSET QUALIFICATIONS

Graduation with a Master’s degree from a recognized university with a specialization economics, sociology or statistics.

Degree equivalency

AE1: Recent* experience installing and configuring data analysis and modeling tools (e.g., R, Python).
AE2: Experience working with Cloud-based data science tools.

Recent* experience is defined as experience within the last 5 years.

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

K1: Advanced knowledge of statistical methodologies and techniques and their application (e.g., time series analysis, decision trees and classification models).
K2: Knowledge of SQL and relational database principles.
K3: Knowledge of data collection methodologies (e.g., sampling) and techniques and their implementation (e.g., web-scraping, interaction with APIs).

ABILITIES

A1: Ability to analyze, evaluate and synthesize complex issues or problems and formulate recommendations for management.
A2: Ability to build effective working relationships with multiple stakeholders.
A3: Ability to communicate effectively orally and in writing.

PERSONAL SUITABILITY

PS1: Client service skills
PS2: Team work
PS3: Results Oriented

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

OPERATIONAL REQUIREMENTS
Ability to work overtime or weekends 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.