gJobs.ca

Data Scientist

Reference Number
STC18J-014746-000616

Selection Process Number
18-STC-EA-NCR-754-895

Organization
Statistics Canada

Year
2018-2019

Days Open
6

Classification
EC04

City
Ottawa

Type
External

Quick Summary

Total
114

Employment Equity
71 (62.3%)

Screened out
5 (4.4%)

Screened in
109 (95.6%)

Applicant Submissions (114)

Employment Equity 62.3% 71

Screened Out 4.4% 5

Screened In 95.6% 109

Employment Equity(71)

Women 31.6% 36

Visible minority 43.9% 50

Indigenous 0% 0

People with disabilities 0% 0

Language

English 66.7% 76

French 33.3% 38

Status

Citizens 67.5% 77

Permanent Residents 0% 0

Archived Job Poster

Data Scientist

Reference number: STC18J-014746-000616
Selection process number: 18-STC-EA-NCR-754-895
Statistics Canada
Ottawa (Ontario)
EC-04
Acting, Assignment, Deployment, Indeterminate, Secondment, Specified period
$68,468 to $79,234

Closing date: 27 September 2018 - 23:59, Pacific Time

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

Update: The poster is extended until September 27, 2018

Thank you all for your interest.

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 special accommodation. All information received in relation to accommodation will be kept confidential.

Information on accommodation for persons with disabilities

COME AND MEET STATISTICS CANADA'S DATA COLLECTION RESEARCH AND INNOVATION TEAM!

Statistic Canada’s Data Collection Research and Innovation Team would like to welcome anyone potentially interested in a job in data collection research to join them for a chat!

Whether you’re currently working at level or feel ready for a promotion, we’d love to explain to you all the exciting things happening within the Collection Planning and Research Division. No obligation to apply afterwards, this is simply an informal opportunity to get to know us!

This event will be held on September 25th 2018 in our offices at Tunney’s Pasture in Jean Talon Building in Ottawa. If interested, please send an email to:
to register and to receive more details.

For people in the regions, a telephone call with the management team about the event is possible.

Work environment

Your Challenge
Help bring research to life and drive your career forward with the Collection Planning and Research Division at Statistics Canada.
We are looking for:
• talented Data Scientists to join our growing data collection research team;
• enthusiastic people to work on statistics and predictive analytics projects across a broad range of social, agricultural and business surveys;
• dynamic, results-oriented and hands-on people to efficiently deliver solutions;
• inquisitive, science-oriented people who apt at formulating hypotheses and resolve operational issues;
• people willing to learn new tools or skills;
• people with strong interpersonal and communication skills; and
• people who share our core values of impact, accountability, leadership, integrity and collaboration.

Under the direction of the Data Collection Research and Innovation team management team, the incumbent will plan, manage, and carry out a wide range of research and innovation projects.

Intent of the process

The intent of this process is to staff INDETERMINATE (permanent) position Data Collection Research and Innovation Section of Statistics Canada.
An eligibility list may be established for similar positions within the Collection Planning and Research Division for a one year period.

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
• Master’s degree in statistics, computer science, engineering, or closely related field;or
• A Bachelor’s degree in statistics, mathematics or engineering with experience with data collection and analysis of collection results and strategies could be considered.
• Preference will be given to candidates with specialized training in machine learning, data science or statistics.

Degree equivalency

Experience
Recent* experience in at least two (2) following aspects of statistical programs in the domain of data analysis:
• Experience in analyzing data and the presentation of reports
• Experience in working with statistical analysis software, such as Statistical Analysis Software (SAS) or R.
• Experience using quantitative analysis and statistical methods
• Experience in the use of various machine learning and Intelligence Artificial Software

*Recent experience is defined as approximately acquired in the past 2 years.

Knowledge
• Significant knowledge of analysis and statistical methods and machine learning techniques.
• Knowledge of algorithms.

Competencies
C1-Thinking things through
C2-Working effectively with others
C3-Showing initiative
C4-Demonstating integrity and respect

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

• Asset: Experience in data collection methods and strategies
• Asset: Hands-on experience of large-scale data sets (big data).
• Asset: Experience gathering online data or information using automated forms of collection (e.g., “web scraping”, “screen scraping”, etc.)

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

Bilingual - Imperative (BBB/BBB)
English or French essential.

Information on language requirements

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 targeted groups when you apply.

Information on employment equity

You must provide the following information when submitting your application:
• Your degree, institution, date of graduation or anticipated date of thesis defense and graduation.
• Your current Résumé that clearly indicates start and end dates by month and year, position, responsibilities and accomplishments.

Candidates who pass the screening phase may be invited to an interview.
We thank all those who apply. Only those selected for further consideration will be contacted.

Preference

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

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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